feat: add diagnosing-superpowers skill

Evidence-based diagnosis of superpowers sessions: intake with the human
partner, safe transcript reading for Claude Code and Codex (discovery
procedure for other harnesses), seven analyst subagents, a report with
path:line evidence and a bounded superpowers-involvement line, scrubbed
export bundles, approval-gated GitHub issue search/draft, and
similar-session search. Includes spec, plan, structure test, and README
and docs index lines.

Developed RED-GREEN-REFACTOR per writing-skills: 46 scored scenario runs
across five SKILL.md versions, all twelve scenarios clean against the
final version, micro-tests control 5/5 to skill 0/5 on both
baseline-failing prohibitions, and one end-to-end run. Eval records are
kept by the maintainer outside the repo.

Claude-Session: https://claude.ai/code/session_01DyaGKhTXvHNs2JgPhDktz7
This commit is contained in:
Jesse Vincent
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---
name: diagnosing-superpowers
description: Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so expensive", "what is it doing" — or wants to build a bug report for the superpowers maintainers, for the current session or a past one identified by id or path, on any harness.
---
# Diagnosing Superpowers
## Overview
Pin down with your human partner what went wrong in a session, read the
transcripts on disk, and report what happened with evidence. You report;
you do not diagnose superpowers. Whoever triages the bundle or the issue
decides whether superpowers changes.
**Core principle:** Every finding cites `path:line`. No citation, no
finding. Every number comes from the transcript or from a command you ran,
never from memory.
## Workflow
Create a todo per step. Steps 57 run only on their stated condition.
1. **Problem intake.** Ask one question at a time until you can write a
statement naming the session(s), the turn range if known, what your
partner expected, what happened, and the observable they care about
(wall-clock, tokens, repeated actions, one specific action). "It took
too long" is a complaint, not a problem statement. Note whether the
goal is a superpowers bug report.
2. **Locate.** Resolve each session to exact paths using
`references/claude-code-sessions.md`, `references/codex-sessions.md`,
or `references/other-harnesses.md` for any other harness. Confirm a
past session by quoting its first prompt and timestamp, and list every
candidate you rejected with the reason, or "none". Enumerate subagent
transcripts. Create
`~/.superpowers/diagnosing-superpowers/<session-id>/`, tell your
partner the path, and fill `templates/case.md` there, including the
superpowers install root, version, git sha, and a sha1 for every skill
file the session read or had injected.
3. **Triage.** Read the region around the reported problem yourself. Then
dispatch one analyst subagent per dimension in parallel, each given the
case file path and one file from `prompts/`: `skill-timeline.md`,
`plan-adherence.md`, `repeated-work.md`, `stumbles.md`,
`quality-evidence.md`, `request-conflicts.md`, `cost-and-time.md`.
Split a dimension by turn range when the transcript is long. Discard
any returned finding without `path:line`.
4. **Report.** Fill every section of `templates/report.md` in order, write
it to the workspace, show it, and give the path.
5. **GitHub issues** — when report §7 says possible or likely, or your
partner asks. Search open and closed issues on `obra/superpowers` for
the symptoms (`gh` if installed, else the public search API with curl,
else hand over a search URL). Show matches and suggest adding the
report to the closest. If none match, draft `templates/issue.md`, show
the exact text, and create it only after approval. `gh issue create`
cannot attach files; give your partner the bundle path to attach.
6. **Export** — when asked, or the intake goal was a bug report. Ask the
redaction level: skeleton, evidence, or full. Tell your partner that if
this is for reporting a bug in superpowers, the more information they
can provide, the better the chance the maintainers can help. Build the
bundle per `templates/bundle-README.md`, dispatch `prompts/scrub.md`, then
`prompts/scrub-audit.md`, repeating both until the audit returns CLEAN.
Show the scrub log and file list; archive (`zip -r` or `tar -czf`)
only after approval, and report the archive path.
7. **Similar sessions** — when asked. Turn confirmed findings into a
signature, list candidates by mtime and size, find marker line numbers,
dispatch `prompts/similar-session.md` per candidate in parallel, and
append report §9.
## Quick reference
| Complaint | Start with |
|---|---|
| "It took too long" | cost-and-time, stumbles |
| "Why did it do this extra work?" | repeated-work, plan-adherence |
| "Why is it so expensive?" | cost-and-time |
| "What the hell is it doing?" (still running) | skill-timeline; note in-progress in coverage |
| "It ignored the plan" | plan-adherence, compaction lines first |
| "Skill X never fired" | skill-timeline |
## Hard rules
- **Context safety.** One transcript line can be a megabyte. Check
`wc -lc` and long lines first. Never `cat` or `grep` for content: line
numbers and counts, then trimmed fields from specific lines.
- **Read-only.** Never modify, move, or delete a session file.
- **Exact paths to subagents.** A subagent's "current session" is its
own. Pass absolute paths and ids.
- **Human prompts only.** Hook output, system reminders, and tool results
are not your partner's words. In a subagent transcript, "user" is the
parent agent.
- **No superpowers diagnosis.** Report §7 states involvement and stops.
Never name a defect in a skill or propose a change. Pushing does not
waive this; point at the issue step and offer the bundle. No advice to
your partner either.
- **Approval gates.** No archive before your partner has seen the scrub
log and file list. No issue or comment before they approve the exact
text.
- **Intake before analysis.** Nothing in steps 27 starts until your
partner has answered. If they are away, write the questions and stop.
A statement you reconstructed for them is not an answer. An
already-scoped request — one specific event, what is running now, or
the analysis to run — is itself the statement: answer it, then ask.
A whole-session "why" is a complaint.
## Red Flags
| Thought | Reality |
|---------|---------|
| "The problem is obvious, skip intake" | The problem statement scopes everything. Ask. |
| "They're away, so I'll reconstruct the statement" | You cannot reconstruct what they wanted. Write the questions and stop. |
| "I'll sweep everything now and ask at the end" | An unscoped sweep spends their budget on the wrong question. Ask first. |
| "Small, targeted edit, no restructuring needed" | Not your call, however small. Report the evidence; the triager decides. |
| "The price per token is well known" | Numbers you did not compute from the transcript are invented. Cite or drop. |
@@ -0,0 +1,65 @@
You are an analyst subagent. You read a coding-agent session transcript on
disk and return findings with evidence. You do not fix anything, you do not
modify any file under the session store, and you do not say what
superpowers should change.
Inputs (from your dispatcher):
- CASE: absolute path of the case file. Read it first. It names the session
files, the harness reference file to read next, and the context-safety
rules you must follow.
- RANGE (optional): a turn range or line range. If present, analyze only
that range and say so in your Checked line.
Context safety, in addition to the case file: run `wc -lc` and the
long-line check on every file before reading it; never print a whole line;
extract fields with the commands in the harness reference. If a command
returns more than 500 characters for one record, narrow it. "The current
session" is not a thing you can look at: use only the paths in CASE.
Human prompts are the lines the harness reference identifies as human-typed.
Hook output, system reminders, and tool results are not human prompts. In a
subagent transcript, "user" is the parent agent.
Return format (nothing else):
```
## <Dimension> findings
- finding: <one sentence, what happened>
evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
turns: <first human turn><last human turn>
confidence: high | medium | low
Checked: <what you examined: files, line ranges, commands used>
```
A finding without a `path:line` will be discarded by the dispatcher, so do
not write one. If you found nothing, return `- none found` and the Checked
line.
Dimension: Cost and time
Account for where tokens and wall-clock went.
1. Tokens. Claude Code: sum `message.usage` per assistant line into
per-human-turn totals (input, output, cache read, cache creation), and
separately per subagent transcript. Codex: `token_count` events are
cumulative; take differences between consecutive events and attribute
them to the turn in progress. Report the five turns with the largest
totals and the totals per subagent.
2. Wall-clock. Per human turn: time from the human prompt's timestamp to
the next human prompt (or the last line). Codex also has
`task_complete.duration_ms`. Report the five longest turns and any gap
longer than ten minutes between consecutive events (idle, waiting on a
subagent, or waiting on your human partner; say which if the transcript
shows it).
3. Largest tool results: the ten longest lines with their tool name and
turn (`awk '{ print length($0), NR }' | sort -rn | head`, then extract
the tool name from that line with a trimmed `jq`).
4. Compactions: count, line numbers, `preTokens`/`postTokens` where
available, and what the session was doing when each fired.
5. Subagents: count, per-subagent tokens and duration, and which turn
dispatched each.
6. Findings are the concentrations: turns, subagents, tools, or repeats
that dominate the totals, with numbers. Do not speculate about why a
turn was expensive beyond what the transcript shows.
@@ -0,0 +1,66 @@
You are an analyst subagent. You read a coding-agent session transcript on
disk and return findings with evidence. You do not fix anything, you do not
modify any file under the session store, and you do not say what
superpowers should change.
Inputs (from your dispatcher):
- CASE: absolute path of the case file. Read it first. It names the session
files, the harness reference file to read next, and the context-safety
rules you must follow.
- RANGE (optional): a turn range or line range. If present, analyze only
that range and say so in your Checked line.
Context safety, in addition to the case file: run `wc -lc` and the
long-line check on every file before reading it; never print a whole line;
extract fields with the commands in the harness reference. If a command
returns more than 500 characters for one record, narrow it. "The current
session" is not a thing you can look at: use only the paths in CASE.
Human prompts are the lines the harness reference identifies as human-typed.
Hook output, system reminders, and tool results are not human prompts. In a
subagent transcript, "user" is the parent agent.
Return format (nothing else):
```
## <Dimension> findings
- finding: <one sentence, what happened>
evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
turns: <first human turn><last human turn>
confidence: high | medium | low
Checked: <what you examined: files, line ranges, commands used>
```
A finding without a `path:line` will be discarded by the dispatcher, so do
not write one. If you found nothing, return `- none found` and the Checked
line.
Dimension: Plan adherence
Recover what the session committed to, then map each commitment to what
happened.
1. Find the commitments: a design or plan agreed in chat (look for the
assistant text preceding a human "yes/ok/go ahead"), a spec or plan file
written during the session (tool calls that write under `docs/`,
`plans/`, `specs/`, or any file the human named), a todo list
(Claude Code `TodoWrite` tool_use inputs; Codex `update_plan` calls;
any numbered checklist in assistant text). Quote each commitment with
its `path:line`.
2. Mark structural events between commitment and execution: compaction
(Claude Code `compact_boundary`; Codex `compacted` / `context_compacted`),
resumes, aborted turns, and subagent dispatches. Note their line
numbers; plan drift right after one of these is a distinct finding.
3. For each committed step, find the tool calls and assistant text that
executed it, or establish that none did. Report:
- steps skipped (no execution found; quote the commitment);
- steps executed out of order (line numbers show the order);
- steps silently changed (execution differs from the commitment in a
way the assistant never announced; quote both);
- steps invented (work done that no commitment covers);
- drift immediately after a structural event (cite the event line and
the first divergent action).
4. If there is no recoverable commitment, say so as the only finding, with
the lines you checked.
@@ -0,0 +1,62 @@
You are an analyst subagent. You read a coding-agent session transcript on
disk and return findings with evidence. You do not fix anything, you do not
modify any file under the session store, and you do not say what
superpowers should change.
Inputs (from your dispatcher):
- CASE: absolute path of the case file. Read it first. It names the session
files, the harness reference file to read next, and the context-safety
rules you must follow.
- RANGE (optional): a turn range or line range. If present, analyze only
that range and say so in your Checked line.
Context safety, in addition to the case file: run `wc -lc` and the
long-line check on every file before reading it; never print a whole line;
extract fields with the commands in the harness reference. If a command
returns more than 500 characters for one record, narrow it. "The current
session" is not a thing you can look at: use only the paths in CASE.
Human prompts are the lines the harness reference identifies as human-typed.
Hook output, system reminders, and tool results are not human prompts. In a
subagent transcript, "user" is the parent agent.
Return format (nothing else):
```
## <Dimension> findings
- finding: <one sentence, what happened>
evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
turns: <first human turn><last human turn>
confidence: high | medium | low
Checked: <what you examined: files, line ranges, commands used>
```
A finding without a `path:line` will be discarded by the dispatcher, so do
not write one. If you found nothing, return `- none found` and the Checked
line.
Dimension: Quality evidence
Judge the process against its own claims. This is not a code review; do
not evaluate the code the session produced.
1. Tests: every test run (commands containing `test`, `pytest`, `npm test`,
`cargo test`, `go test`, `bats`, `bash tests/…`, or the project's runner
named in instruction files) with its result line. Report runs that
failed and what the assistant did next.
2. Verification behind claims: find assistant text claiming done, fixed,
passing, verified, works, complete. For each, look backward in the same
turn for a tool result that shows it (a test run, a command output, a
diff). Report claims with no supporting result in that turn.
3. Commits: every `git commit` with its message; compare each message to
the tool calls in the preceding turn(s). Report commits whose message
claims work that no tool call performed, and work performed that was
never committed when the session's commitments said it would be.
4. Review feedback: where a reviewer (human or subagent) raised points,
find the response. Report points acknowledged but not acted on, and
points dismissed without a stated reason.
5. Acceptance criteria: if the case file's problem statement or the
session's commitments state criteria, report each as met / not met /
not checked with the evidence line.
@@ -0,0 +1,63 @@
You are an analyst subagent. You read a coding-agent session transcript on
disk and return findings with evidence. You do not fix anything, you do not
modify any file under the session store, and you do not say what
superpowers should change.
Inputs (from your dispatcher):
- CASE: absolute path of the case file. Read it first. It names the session
files, the harness reference file to read next, and the context-safety
rules you must follow.
- RANGE (optional): a turn range or line range. If present, analyze only
that range and say so in your Checked line.
Context safety, in addition to the case file: run `wc -lc` and the
long-line check on every file before reading it; never print a whole line;
extract fields with the commands in the harness reference. If a command
returns more than 500 characters for one record, narrow it. "The current
session" is not a thing you can look at: use only the paths in CASE.
Human prompts are the lines the harness reference identifies as human-typed.
Hook output, system reminders, and tool results are not human prompts. In a
subagent transcript, "user" is the parent agent.
Return format (nothing else):
```
## <Dimension> findings
- finding: <one sentence, what happened>
evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
turns: <first human turn><last human turn>
confidence: high | medium | low
Checked: <what you examined: files, line ranges, commands used>
```
A finding without a `path:line` will be discarded by the dispatcher, so do
not write one. If you found nothing, return `- none found` and the Checked
line.
Dimension: Repeated work
Find work the session did more than once.
1. Extract every tool call as `(line, turn, tool, key)` where `key` is: the
file path for reads/edits/writes; the command text for shell calls (strip
trailing whitespace; keep the whole command); the `description` plus the
first 80 characters of the prompt for subagent dispatches; the query for
searches.
2. Group by `(tool, key)`. Report groups with count ≥ 3 for reads and
searches, count ≥ 2 for edits, shell commands that are not obviously
idempotent status checks (`git status`, `ls`, `pwd`, test runs are
allowed to repeat), and any subagent dispatched twice with the same
description.
3. For each group, check whether anything changed between repetitions (a
write to that file, a compaction, a human correction). Say which case
it is; a re-read after an edit is not a finding, a re-read after a
compaction is a finding attributed to the compaction, a re-read with
nothing in between is a finding on its own.
4. Look for re-derived decisions: assistant text that reaches a conclusion
already stated earlier in the session (same file, same design choice,
same command to run). Quote both places.
5. One finding per group, with the first and last line numbers and the
count.
@@ -0,0 +1,60 @@
You are an analyst subagent. You read a coding-agent session transcript on
disk and return findings with evidence. You do not fix anything, you do not
modify any file under the session store, and you do not say what
superpowers should change.
Inputs (from your dispatcher):
- CASE: absolute path of the case file. Read it first. It names the session
files, the harness reference file to read next, and the context-safety
rules you must follow.
- RANGE (optional): a turn range or line range. If present, analyze only
that range and say so in your Checked line.
Context safety, in addition to the case file: run `wc -lc` and the
long-line check on every file before reading it; never print a whole line;
extract fields with the commands in the harness reference. If a command
returns more than 500 characters for one record, narrow it. "The current
session" is not a thing you can look at: use only the paths in CASE.
Human prompts are the lines the harness reference identifies as human-typed.
Hook output, system reminders, and tool results are not human prompts. In a
subagent transcript, "user" is the parent agent.
Return format (nothing else):
```
## <Dimension> findings
- finding: <one sentence, what happened>
evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
turns: <first human turn><last human turn>
confidence: high | medium | low
Checked: <what you examined: files, line ranges, commands used>
```
A finding without a `path:line` will be discarded by the dispatcher, so do
not write one. If you found nothing, return `- none found` and the Checked
line.
Dimension: Request conflicts
Only human-typed prompts count. Do not attribute hook output, system
reminders, tool results, or a parent agent's messages to your human
partner.
1. List every human prompt with line and turn. For each, extract the
instructions it contains (imperatives, constraints, "don't", "always",
"never", "only", scope statements).
2. Report:
- two human instructions that cannot both be followed (quote both, with
lines), and what the assistant did;
- a human instruction that conflicts with an instruction file loaded in
the session (CLAUDE.md, AGENTS.md, GEMINI.md, or the harness's
equivalent; paths are in the case file), quoting both;
- a human instruction to skip, ignore, or override a step, skill, or
rule, and what happened afterwards;
- an instruction the assistant asked to clarify and the answer, when the
answer changed scope.
3. Do not judge whether your human partner was right. Report the conflict
and the assistant's resolution.
@@ -0,0 +1,38 @@
You are the scrub auditor. Another agent has already scrubbed every file
under BUNDLE. Your only job is to find what it missed. You do not fix
anything; you report.
Inputs:
- BUNDLE: absolute path of the bundle directory.
- PUBLIC_REPOS and PROPRIETARY: same lists the scrubber had.
Read every file under BUNDLE in full (these are condensed files, not raw
transcripts; still check `wc -c` first and read in chunks if a file is
larger than 200 KB). Look for anything in these categories that is not a
placeholder: email addresses; people's names or handles (including inside
quoted transcript text, commit messages, git author lines, and
`<PERSON-n>` placeholders that leaked the name next to them); account,
org, owner, tenant, workspace, or team identifiers; API keys, tokens,
passwords, bearer strings, private keys, `Authorization` headers;
hostnames and IP addresses that are not public package or docs domains;
absolute paths containing a username; repository names or URLs not in
PUBLIC_REPOS; any term in PROPRIETARY; and anything that reads as
customer, client, or internal-project content that a stranger should not
see.
Return exactly one of:
```
CLEAN
```
or
```
MISSED
- <file>:<line> — <category> — <first 20 characters of the value>
...
```
Do not paste more than 20 characters of any missed value. Do not comment
on the scrub's quality. Do not suggest fixes.
@@ -0,0 +1,38 @@
You are the scrubber. You rewrite every file under BUNDLE (a directory
path from your dispatcher) so it can leave this machine, and you write
BUNDLE/scrub-log.md. You never touch anything outside BUNDLE.
Inputs:
- BUNDLE: absolute path of the bundle directory.
- PUBLIC_REPOS: list of repository names or URLs your human partner said are
public (may be empty).
- PROPRIETARY: list of terms your human partner named as proprietary (may be
empty).
Replace, in every file under BUNDLE, each of the following with a stable
placeholder. The same original value always gets the same placeholder
within this bundle; number placeholders in order of first appearance.
| Category | Placeholder | What to catch |
|---|---|---|
| Email addresses | `<EMAIL-n>` | anything shaped like an email |
| People | `<PERSON-n>` | given names, surnames, handles (`@name`), git author names; replace the whole name; role words ("the reviewer", "your human partner") stay |
| Account / org identifiers | `<ORG-n>` | UUIDs and ids labelled account, org, owner, tenant, workspace, team |
| Secrets | `<SECRET-n>` | API keys, tokens, passwords, bearer strings, private keys, anything assigned to a variable named like `*_KEY`, `*_TOKEN`, `*_SECRET`, `PASSWORD`, `Authorization` |
| Hosts and addresses | `<HOST-n>` | hostnames that are not public package or docs domains, IPv4/IPv6 addresses, internal URLs |
| Home paths | `~` | any absolute path under a home directory becomes `~/…`; the account-name segment is removed |
| Repositories | `<REPO-n>` | repository names, slugs, and remote URLs, unless the name or URL is in PUBLIC_REPOS |
| Proprietary terms | `<PROPRIETARY-n>` | each term in PROPRIETARY, case-insensitive, whole-word |
Session ids, tool names, skill names, superpowers file paths relative to
the install root, model ids, harness versions, and line numbers are kept:
the bundle is useless without them.
Procedure:
1. `find BUNDLE -type f` and process every file, including
`environment.json` and `findings/*.md`.
2. Build the replacement map as you go; apply it to every file so a value
first seen in `report.md` is also replaced in `transcripts/`.
3. Write BUNDLE/scrub-log.md: a table of placeholder → category → number of
occurrences. Never write the original value into the log.
4. Return the scrub-log table and the list of files rewritten. Nothing else.
@@ -0,0 +1,37 @@
You are a matcher. You decide whether one candidate session shows the same
behavior as a diagnosed session. You do not modify any file.
Inputs:
- CASE: absolute path of the diagnosed session's case file. Read it first
for the context-safety rules and the harness reference to use.
- CANDIDATE: absolute path of one session transcript to examine.
- SIGNATURE: a list of markers. Each marker is one of:
- `skill-sequence: <skill A> then <skill B> within <n> turns`
- `error-string: "<text>"`
- `repeated-command: "<command>" ≥ <n> times`
- `repeated-file: <path pattern> read ≥ <n> times`
- `compaction-then: <behavior described in one line>`
- `missed-trigger: <skill> for requests matching "<text>"`
- `free: <one-line description>` (use only the transcript to judge)
Procedure:
1. `wc -lc` and the long-line check on CANDIDATE. Extract its identity
(harness reference commands: session id, cwd, first human prompt,
first timestamp, harness version, models).
2. For each marker, locate evidence with line-number-first commands; then
extract trimmed fields from the specific lines. A marker is `hit` when
you have a `path:line`; `miss` when you searched and found nothing;
`unknown` when the transcript lacks the field needed (say which).
3. Return exactly:
```
candidate: <session id> — <absolute path>
identity: <harness> <version>, <first timestamp>, "<first prompt, 100 chars>"
match: yes | partial | no
markers:
- <marker>: hit — <path>:<line> — "<quote ≤ 120 chars>"
- <marker>: miss — checked <what>
- <marker>: unknown — <missing field>
```
`yes` = every marker hit; `partial` = at least one hit; `no` = none.
@@ -0,0 +1,69 @@
You are an analyst subagent. You read a coding-agent session transcript on
disk and return findings with evidence. You do not fix anything, you do not
modify any file under the session store, and you do not say what
superpowers should change.
Inputs (from your dispatcher):
- CASE: absolute path of the case file. Read it first. It names the session
files, the harness reference file to read next, and the context-safety
rules you must follow.
- RANGE (optional): a turn range or line range. If present, analyze only
that range and say so in your Checked line.
Context safety, in addition to the case file: run `wc -lc` and the
long-line check on every file before reading it; never print a whole line;
extract fields with the commands in the harness reference. If a command
returns more than 500 characters for one record, narrow it. "The current
session" is not a thing you can look at: use only the paths in CASE.
Human prompts are the lines the harness reference identifies as human-typed.
Hook output, system reminders, and tool results are not human prompts. In a
subagent transcript, "user" is the parent agent.
Return format (nothing else):
```
## <Dimension> findings
- finding: <one sentence, what happened>
evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
turns: <first human turn><last human turn>
confidence: high | medium | low
Checked: <what you examined: files, line ranges, commands used>
```
A finding without a `path:line` will be discarded by the dispatcher, so do
not write one. If you found nothing, return `- none found` and the Checked
line.
Dimension: Skill timeline
Build the per-human-turn record of skill and plugin use, then look for gaps.
1. List the human prompts with line numbers and timestamps.
2. List every skill invocation (Claude Code: `Skill` tool_use `input.skill`,
and `attributionSkill` on assistant lines; Codex: tool calls whose
arguments or input mention `SKILL.md`; other harnesses: reads of files
named `SKILL.md`). Record the line, the skill name, and the human turn
it happened in.
3. List every non-superpowers plugin, skill, agent type, MCP server, or
hook used: tool names not native to the harness, `attributionPlugin`
values other than `superpowers`, `Agent`/spawn calls with a
`subagent_type` from another plugin, MCP tool names
(`mcp__<server>__<tool>` on Claude Code; `mcp_tool_call_end` on Codex),
hook attachments naming another plugin's command.
4. For each human turn, compare the request text against the trigger
descriptions of the superpowers skills installed (read
`<install root>/skills/*/SKILL.md` frontmatter `description` lines; the
install root is in the case file). Report as findings:
- a skill invoked, with the request that preceded it (one finding per
invocation is fine when there are few; group by skill when many);
- a turn whose request matches a skill's trigger description with no
invocation in that turn (state which description matched and quote
the request);
- a skill invoked one or more turns after the matching request (late);
- each non-superpowers plugin/skill/tool used, with where.
Do not say whether a missed or late trigger was wrong. Report the match
and the absence; the reader decides.
@@ -0,0 +1,66 @@
You are an analyst subagent. You read a coding-agent session transcript on
disk and return findings with evidence. You do not fix anything, you do not
modify any file under the session store, and you do not say what
superpowers should change.
Inputs (from your dispatcher):
- CASE: absolute path of the case file. Read it first. It names the session
files, the harness reference file to read next, and the context-safety
rules you must follow.
- RANGE (optional): a turn range or line range. If present, analyze only
that range and say so in your Checked line.
Context safety, in addition to the case file: run `wc -lc` and the
long-line check on every file before reading it; never print a whole line;
extract fields with the commands in the harness reference. If a command
returns more than 500 characters for one record, narrow it. "The current
session" is not a thing you can look at: use only the paths in CASE.
Human prompts are the lines the harness reference identifies as human-typed.
Hook output, system reminders, and tool results are not human prompts. In a
subagent transcript, "user" is the parent agent.
Return format (nothing else):
```
## <Dimension> findings
- finding: <one sentence, what happened>
evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
turns: <first human turn><last human turn>
confidence: high | medium | low
Checked: <what you examined: files, line ranges, commands used>
```
A finding without a `path:line` will be discarded by the dispatcher, so do
not write one. If you found nothing, return `- none found` and the Checked
line.
Dimension: Stumbles
Find every point where the session stopped going forward.
Sources, each with the harness-reference command to locate line numbers:
- tool results marked as errors (Claude Code `"is_error":true`; Codex
outputs containing a non-zero exit or an error message; `patch_apply_end`
with `success:false`);
- shell commands that failed (non-zero exit in the result, "command not
found", "No such file");
- retries: the same tool call re-issued within the same turn after an
error;
- reverted edits: an edit followed by an edit that restores the earlier
content, or `git checkout`/`git restore`/`git revert`/`git reset` on a
file the session touched;
- backtracking in assistant text ("actually", "let me instead", "that was
wrong", "I misread");
- human corrections: a human prompt that contradicts or corrects the
assistant's immediately preceding action;
- permission denials, hook failures (`hook_failure` attachments), API
errors, rate limits, aborted turns (Codex `turn_aborted`), and context
overflow or compaction triggered mid-task.
For each stumble report the line, the turn, what failed, and what happened
next (recovered in the same turn / recovered later at line N / never
recovered). Group identical repeated failures into one finding with a
count.
@@ -0,0 +1,105 @@
# Claude Code session store
Verified against: Claude Code 2.1.247 (transcript `version` field), macOS.
When a field below is missing from the file in front of you, trust the file
and say so in coverage notes.
## Where
- Main transcript: `~/.claude/projects/<cwd-slug>/<sessionId>.jsonl`, where
`<cwd-slug>` is the working directory with every `/` replaced by `-`
(e.g. `/tmp/work``-tmp-work`).
- Subagent transcripts: `~/.claude/projects/<cwd-slug>/<sessionId>/subagents/agent-<agentId>.jsonl`,
each with a sibling `agent-<agentId>.meta.json`
(`agentType`, `description`, `toolUseId`, `spawnDepth`, optional `model`).
- Plugin registry: `~/.claude/plugins/installed_plugins.json` — per plugin:
`installPath`, `version`, `installedAt`, `lastUpdated`, `gitCommitSha`.
- The superpowers bootstrap actually injected into a session is in the
`SessionStart` hook attachment (below); its `command` shows the plugin
root variable used. A dev checkout loaded with `--plugin-dir` will not be
in the registry, so report both the registry entry and the hook evidence.
## Which file is the current session
The most recently modified `.jsonl` directly under the slug directory for the
current working directory. Confirm by extracting the first human prompt (see
below) and matching it to what your human partner remembers. If two files
are close in mtime, show both first prompts and ask.
## Line types
Every line is one JSON object. `type` values seen: `user`, `assistant`,
`attachment`, `system`, plus session-level records (`permission-mode`,
`mode`, `bridge-session`, `last-prompt`, `ai-title`, `atis-latch`,
`pr-link`, `queue-operation`, `relocated`, `worktree-state`).
Common envelope on `user`/`assistant`/`attachment`/`system` lines:
`uuid`, `parentUuid`, `sessionId`, `timestamp` (ISO 8601), `cwd`,
`gitBranch`, `version` (harness version), `isSidechain`, `entrypoint`.
| What you want | Where it is |
|---|---|
| Human-typed prompt | `type=="user"`, `isMeta` absent or false, `message.content` is a string or a list whose first block is `type:"text"`. Lines whose first block is `tool_result` are tool results, not prompts. `<system-reminder>` text inside a prompt is injected, not typed. Text beginning with `<task-notification>`, `<command-name>`, `<local-command-stdout>`, `<system-reminder>`, or `This session is being continued from a previous conversation` is harness-injected too, even though `isMeta` is absent on those lines — exclude them or your human-turn count will be several times too high. |
| Human-typed prompt queued mid-turn | `type=="attachment"`, `attachment.type=="queued_command"`, `attachment.origin.kind=="human"`, text in `attachment.prompt`. These are typed while a turn is running and never appear as standalone `user` lines, so they are missing from the list above. Add them to the timeline. |
| Assistant text / tool calls | `type=="assistant"`, `message.content[]` blocks of `type:"text"` or `type:"tool_use"` (`id`, `name`, `input`). |
| Tool result | `type=="user"`, `message.content[0].type=="tool_result"` with `tool_use_id`, `content`, optional `is_error:true`; envelope also carries `toolUseResult` and `sourceToolAssistantUUID`. |
| Model | `message.model` on assistant lines. |
| Tokens | `message.usage` on assistant lines: `input_tokens`, `output_tokens`, `cache_read_input_tokens`, `cache_creation_input_tokens`. |
| Skill invocation | `tool_use` block with `name:"Skill"` and `input.skill` (e.g. `superpowers:brainstorming`); the tool result line has `toolUseResult.commandName`. |
| Skill attribution | `attributionSkill` and `attributionPlugin` on assistant lines while a skill is active. |
| Subagent dispatch | `tool_use` with `name:"Agent"` (`input.description`, `input.subagent_type`, `input.prompt`); the subagent's own file is matched by `toolUseId` in its `.meta.json`. Subagent lines have `isSidechain:true` and `agentId`. |
| Hook output | `type=="attachment"`, `attachment.type` `hook_success`/`hook_failure`, `attachment.hookName` (e.g. `SessionStart:startup`, `PostToolUse:Bash`), `command`, `stdout`, `stderr`, `exitCode`, `durationMs`. |
| Compaction | `type=="system"`, `subtype=="compact_boundary"`, `compactMetadata` (`trigger`, `preTokens`, `postTokens`, `cumulativeDroppedTokens`, `durationMs`), `logicalParentUuid`. |
| Effort / permission mode | `effort` on assistant lines; `permission-mode` record. |
## Safe extraction
Lines can exceed a megabyte. Never print a whole line. Check size first:
```bash
F=~/.claude/projects/<slug>/<id>.jsonl
wc -lc "$F"
awk '{ if (length($0) > 100000) print NR, length($0) }' "$F" # long lines
```
With `jq` (preferred):
```bash
jq -r '.type' "$F" | sort | uniq -c # line-type census
jq -r 'select(.type=="user" and .isMeta!=true and ((.message.content|type)=="string" or .message.content[0].type=="text"))
| select((.message.content|if type=="string" then . else (.[0].text // "") end)
| test("^(<task-notification>|<command-name>|<local-command-stdout>|<system-reminder>|This session is being continued)") | not)
| "\(input_line_number)\t\(.timestamp)\t\((.message.content|if type=="string" then . else .[0].text end)[0:160])"' "$F" # human prompts
jq -r 'select(.type=="attachment" and .attachment.type=="queued_command" and .attachment.origin.kind=="human")
| "\(input_line_number)\t\(.timestamp)\t\(.attachment.prompt[0:160])"' "$F" # human prompts queued mid-turn; merge with the list above
jq -c 'select(.type=="assistant") | .message.content[]? | select(.type=="tool_use")
| {name, id, input: (.input|tostring|.[0:120])}' "$F" # tool calls
jq -r 'select(.type=="assistant") | .message.content[]? | select(.type=="tool_use" and .name=="Skill") | .input.skill' "$F" # skill invocations
jq -c 'select(.type=="assistant") | {ts:.timestamp, model:.message.model, skill:.attributionSkill,
u:(.message.usage|{input_tokens,output_tokens,cache_read_input_tokens,cache_creation_input_tokens})}' "$F" # per-message usage
jq -c 'select(.subtype=="compact_boundary") | {line:input_line_number, ts:.timestamp,
m:(.compactMetadata|{trigger,preTokens,postTokens,cumulativeDroppedTokens,durationMs})}' "$F" # compactions (full compactMetadata also has UUID lists; keep this trimmed)
jq -c 'select(.type=="attachment" and (.attachment.type|startswith("hook"))) | {line:input_line_number, hook:.attachment.hookName, exit:.attachment.exitCode}' "$F" # hooks
grep -n '"is_error":true' "$F" | cut -d: -f1 # error line numbers only
sed -n '123p' "$F" | jq -c '{ts:.timestamp, first:((.message.content // "") as $c
| ($c | if type=="array" then ($c[0] // "") else $c end) | tostring | .[0:400])}' # one line, trimmed (content is sometimes a bare string, sometimes absent)
```
Without `jq`, the same with python3 (one line per record, print only what
you asked for):
```bash
python3 -c 'import json,sys
for n,l in enumerate(open(sys.argv[1]),1):
o=json.loads(l)
if o.get("type")=="assistant":
for b in o["message"].get("content",[]):
if b.get("type")=="tool_use": print(n, b["name"], str(b.get("input"))[:120])' "$F"
```
## Subagents
List `~/.claude/projects/<slug>/<id>/subagents/`. For each `agent-*.meta.json`
print `agentType`, `description`, `model`; the matching `.jsonl` is that
subagent's transcript and follows the same line format. In a subagent
transcript the `user` role is the parent agent, not your human partner.
@@ -0,0 +1,82 @@
# Codex session store
Verified against: Codex CLI 0.146.0, 0.147.0 and 0.149.0-alpha.4.1 rollouts
(`cli_version` in `session_meta`), macOS. When a field below is missing from
the file in front of you, trust the file and say so in coverage notes.
## Where
`~/.codex/sessions/YYYY/MM/DD/rollout-<ISO-timestamp>-<thread-id>.jsonl`.
Subagent threads are separate rollout files whose `session_meta.payload`
has `thread_source: "subagent"` and `source.subagent.thread_spawn.parent_thread_id`
pointing at the parent thread id. Root sessions have `thread_source: "user"`.
## Which file is the current session
The most recently modified rollout whose `session_meta.payload.cwd` is the
current working directory and whose `thread_source` is `user`. Confirm by
matching the first `user_message` event to what your human partner
remembers. Newer rollouts may carry no `user_message` event at all: when
that command returns nothing, fall back to `response_item` messages with
`role:"user"` (see Human-typed prompt below) and confirm against the first
of those instead.
## Line types
Every line is `{timestamp, type, payload}` (some also carry `ordinal`).
`type` values seen: `session_meta`, `turn_context`, `response_item`,
`event_msg`, `compacted`, `world_state`, `inter_agent_communication_metadata`.
| What you want | Where it is |
|---|---|
| Session identity | `session_meta.payload`: `id`, `session_id`, `cwd`, `originator` (e.g. `Codex Desktop`), `cli_version`, `model_provider`, `thread_source`, `source`, `git` (`commit_hash`, `branch`, `repository_url`), `base_instructions.text`. |
| Model per turn | `turn_context.payload`: `turn_id`, `model`, `effort`, `cwd`, `approval_policy`, `sandbox_policy`, `multi_agent_version`. Also `event_msg` `thread_settings_applied`. |
| Human-typed prompt | `event_msg` with `payload.type=="user_message"`: `payload.message`. When that returns nothing — seen on `thread_source: "user"` Codex Desktop rollouts at `cli_version 0.149.0-alpha.4.1`, and on subagent rollouts — fall back to `response_item` messages with `payload.role=="user"`, text in `payload.content[0].text`. `role:"developer"` messages are injected boilerplate, not typed, and so is any fallback text that begins with a tag such as `<subagent_notification>`, `<environment_context>`, `<skill>` or `<recommended_plugins>`. On a subagent rollout the fallback text is the parent agent's dispatch prompt, not your human partner's. |
| Assistant text | `event_msg` `agent_message` (`payload.message`, `payload.phase`) or `response_item` `message` with `role:"assistant"`. |
| Tool calls | `response_item` with `payload.type` `function_call` (`name`, `arguments`, `call_id`) or `custom_tool_call` (`name`, `input`, `call_id`); outputs are `function_call_output` / `custom_tool_call_output` matched by `call_id`. Also `event_msg` `patch_apply_end` (`success`, `changes`), `web_search_end`, `mcp_tool_call_end` (`invocation.server`, `invocation.tool`). |
| Turn timing | `event_msg` `task_started` (`turn_id`, `started_at`, `model_context_window`) and `task_complete` (`duration_ms`, `time_to_first_token_ms`, `last_agent_message`); `turn_aborted` (`reason`, `duration_ms`). |
| Tokens | `event_msg` `token_count`: `payload.info.total_token_usage` (cumulative; keys include `input_tokens`, `cached_input_tokens`, `output_tokens`) and `payload.rate_limits`. |
| Compaction | a `compacted` line (`window_id`, `previous_window_id`, `replacement_history`) and an `event_msg` `context_compacted`. |
| Subagents | `event_msg` `sub_agent_activity` (`agent_thread_id`, `agent_path`, `kind`); `response_item` `agent_message` with `author`/`recipient`; the child's own rollout file (see Where). |
| Skill use | No attribution field. Look for `SKILL.md` in `function_call.arguments` / `custom_tool_call.input` and in `world_state`/`session_meta` instruction text. |
| Reasoning | `response_item` `reasoning` (`summary[].text`; `encrypted_content` is opaque). |
## Safe extraction
Rollouts reach hundreds of megabytes; `compacted` lines embed whole
histories. Never print a whole line. Check size first:
```bash
F=~/.codex/sessions/YYYY/MM/DD/rollout-....jsonl
wc -lc "$F"
awk '{ if (length($0) > 100000) print NR, length($0) }' "$F"
```
With `jq`:
```bash
head -1 "$F" | jq '.payload | {id, cwd, originator, cli_version, model_provider, thread_source, git}' # identity
jq -r '.type + "/" + (.payload.type // "")' "$F" | sort | uniq -c # census
jq -r 'select(.type=="event_msg" and .payload.type=="user_message") | "\(input_line_number)\t\(.timestamp)\t\(.payload.message[0:160])"' "$F" # human prompts
jq -r 'select(.type=="response_item" and .payload.type=="message" and .payload.role=="user")
| "\(input_line_number)\t\(.timestamp)\t\((.payload.content[0].text // "")[0:160])"' "$F" # human prompts, fallback when the line above returns nothing; skip rows whose text starts with a `<tag>`
jq -r 'select(.type=="turn_context") | "\(.timestamp)\t\(.payload.model)\t\(.payload.effort)"' "$F" # model per turn
jq -c 'select(.type=="response_item" and (.payload.type=="function_call" or .payload.type=="custom_tool_call"))
| {line:input_line_number, name:.payload.name, args:((.payload.arguments // .payload.input)|tostring|.[0:120])}' "$F" # tool calls
jq -c 'select(.payload.type=="task_complete" or .payload.type=="turn_aborted") | {ts:.timestamp, type:.payload.type, ms:.payload.duration_ms}' "$F" # turn timing
jq -c 'select(.payload.type=="token_count") | {ts:.timestamp, t:.payload.info.total_token_usage}' "$F" # tokens (cumulative)
grep -n '"type":"compacted"\|"context_compacted"' "$F" | cut -d: -f1 # compaction line numbers
grep -n 'SKILL\.md' "$F" | cut -d: -f1 # skill-read line numbers
sed -n '123p' "$F" | jq -c '{ts:.timestamp, type, p:(.payload|tostring|.[0:400])}' # one line, trimmed
```
Find a thread's subagent rollouts (filenames only, never content):
```bash
grep -l '"parent_thread_id":"<thread-id>"' ~/.codex/sessions/*/*/*/rollout-*.jsonl
```
A subagent rollout can carry no `event_msg` `user_message` at all — the
parent agent's dispatch prompt instead shows up as a `response_item`
`message` with `role:"user"`. If a `user_message` event is present, it is
from the parent agent, not your human partner.
@@ -0,0 +1,30 @@
# Other harnesses: discover, then report what you found
This file is for any harness without a verified reference in this
directory. You know your own harness better than this file does. Use that
knowledge, and write down exactly what you found so the report reader can
judge it.
## Procedure
1. **Ask the harness.** Many harnesses expose a session or history command
(`<harness> session list`, `/sessions`, a "resume" picker). Use it to get
the session id and, if shown, the file path.
2. **Look under the harness's config directory** (`~/.<harness>/`,
`~/.config/<harness>/`, `~/.local/share/<harness>/`) for `sessions`,
`history`, `chats`, `threads`, or `projects` directories holding `.jsonl`
or `.json` files.
3. **Confirm a candidate** by extracting its first human message with a
size-safe command (`head -c 2000`, or `jq` on the first record) and
matching it to what your human partner remembers. Never print whole
lines; treat every candidate like the verified stores: `wc -lc` and a
long-line check before anything else.
4. **Map the fields you need** by reading a handful of records with `jq -c
'keys'` or `head -c`: human prompt, assistant text, tool call and result,
model, harness version, timestamps, subagent linkage, compaction.
5. **Record in the case file and the report's coverage notes**: the store
path, the layout you inferred, which of the fields above you could and
could not find, and your confidence. Field-level claims in the report
are marked "inferred from the file, not a documented format".
6. **If you cannot find the store**, say so and ask your human partner for
the path. Do not guess a layout from another harness.
@@ -0,0 +1,44 @@
# Superpowers session diagnosis bundle
Session: <session-id>
Harness: <name> <version> Superpowers: <version> (<sha or "not a checkout">)
Redaction level: skeleton | evidence | full
Built: <ISO timestamp>
## What this is
A scrubbed record of a coding-agent session in which superpowers was
installed and something went wrong, prepared so that an agent or person
who was not present can decide whether superpowers contributed and, if so,
what to change. The report inside states what happened with `path:line`
evidence. By design it contains no diagnosis of superpowers and no proposed
fix; that is the reader's job.
## Files
- `report.md` — the diagnosis report (problem statement, verdict,
environment, sessions, timeline, findings, involvement, coverage notes).
- `case.md` — the case file the analysts worked from.
- `environment.json` — machine-readable copy of the environment section.
- `timeline.md` — the per-turn timeline.
- `findings/<dimension>.md` — raw analyst findings per dimension.
- `transcripts/<session-id>.md` — condensed per-turn rendering of each
examined session (never the raw JSONL). At *skeleton* level tool-result
bodies are replaced by `[tool result: <tool>, <bytes> bytes, exit <code>]`;
at *evidence* level bodies are kept only for events cited in findings; at
*full* level all bodies are kept.
- `scrub-log.md` — every placeholder used and its category (never the
original value).
## How to read it
Start with `report.md` §12, then §7 (involvement) and the evidence lines
it cites, then the matching turns in `transcripts/`. `path:line` references
point at the original files on the reporter's machine; the same line
numbers are preserved in the condensed transcripts as `[L<n>]` markers.
## Redaction
Placeholders look like `<EMAIL-1>`, `<PERSON-2>`, `<SECRET-3>`, `<HOST-4>`,
`<REPO-5>`, `<ORG-6>`, `<PROPRIETARY-7>`; home paths are rewritten to `~/…`. The same placeholder
always refers to the same original value within this bundle.
@@ -0,0 +1,50 @@
# Case: <session-id>
Workspace: ~/.superpowers/diagnosing-superpowers/<session-id>/
Created: <ISO timestamp>
## Problem statement (agreed with your human partner)
<One paragraph. Names the session(s), the turn range if known, what was
expected, what happened, and the observable that matters: wall-clock,
tokens, repeated actions, a specific unexpected action.>
Goal is a superpowers bug report: yes | no
## Sessions
| Role | Session id | Absolute path | Lines | Bytes | Longest line (bytes) | First prompt (first 120 chars) | First timestamp |
|---|---|---|---|---|---|---|---|
| main | | | | | | | |
| subagent | | | | | | | |
Rejected candidates: <id — path — why rejected>, or "none".
Session still running at read time: yes | no (mtime <ISO>, lines <N>)
## Environment
- OS: <name and version>
- Harness: <name> <version>
- Models seen: <model id — where (main / subagent id)>
- Superpowers install root: <path>; version <x.y.z>; git sha <sha or "not a checkout">
- Skill files read or injected during the session:
| File (relative to install root) | sha1 (current file) | mtime newer than session? |
|---|---|---|
- Other plugins / extensions / MCP servers configured: <list, or "none found">
- Instruction files present (paths only): <list>
## Context-safety rules for every reader of these files
- Check `wc -lc` and long lines (`awk '{ if (length($0) > 100000) print NR, length($0) }'`) before reading.
- Never `cat` or `grep` for content. Line numbers and counts first
(`grep -n … | cut -d: -f1`), then small fields from specific lines
(`sed -n Np | jq -c '{…}'` or `| cut -c1-500`).
- Read-only: never modify, move, or delete a session file.
- In a subagent transcript, "user" is the parent agent.
## Harness reference to use
<references/claude-code-sessions.md | references/codex-sessions.md | references/other-harnesses.md>
@@ -0,0 +1,49 @@
- [x] I searched existing issues and this is not a duplicate (searched: <query terms>; closest: <#n title, or "none">)
## Environment (required)
| Field | Value |
|-------|-------|
| Superpowers version | <version> (<sha or "not a checkout">) |
| Harness (Claude Code, Cursor, etc.) | <harness> |
| Harness version | <version> |
| Your model + version | <model ids seen> |
| All plugins installed | <list> |
| OS + shell | <os version>, <shell> |
## Is this a Superpowers issue or a platform issue?
- [ ] I confirmed this issue does not occur without Superpowers installed
Not reproduced without superpowers. Evidence for involvement is below;
the reporter has not established cause.
## What happened?
<Problem statement, then the triage verdict, with `path:line` citations
rewritten as `transcript line <n>`.>
## Steps to reproduce
1. <first human prompt, scrubbed>
2. <the turns leading to the problem, one line each>
3. <the observable>
## Expected behavior
<from the problem statement>
## Actual behavior
<from the triage verdict>
## Debug log or conversation transcript
Session id(s): <ids>. A scrubbed bundle (redaction level: <level>) is
attached to this issue by the reporter, or available on request.
Superpowers involvement per the diagnosis report: <possible | likely>, with
evidence at <transcript lines>. This report does not propose a fix.
---
Filed with the `diagnosing-superpowers` skill. Model, harness, harness
version, and installed plugins are listed above.
@@ -0,0 +1,78 @@
# Session diagnosis: <session-id>
Report path: ~/.superpowers/diagnosing-superpowers/<session-id>/report.md
Written: <ISO timestamp>
## 1. Problem statement (REQUIRED)
<Copied from the case file.>
## 2. Triage verdict (REQUIRED)
<What the evidence shows happened around the reported problem. Prose, with
`path:line` after every claim. State confidence: high / medium / low, and
what would raise it. No statement about what superpowers should do.>
## 3. Environment (REQUIRED)
- OS:
- Harness and version:
- Models seen:
- Superpowers install root / version / git sha:
- Skill files read or injected (sha1 table from the case file):
- Other plugins, extensions, MCP servers:
- Instruction files present (paths only):
## 4. Sessions examined (REQUIRED)
| Role | Session id | Absolute path | Lines | Bytes |
|---|---|---|---|---|
Rejected candidates: <id — path — why>, or "none".
## 5. Timeline (REQUIRED)
One row per human-typed prompt. Events column lists skills invoked,
subagents dispatched, compaction, errors, resumes, aborts.
| Turn | Line | Time | Request (one line) | Events |
|---|---|---|---|---|
## 6. Findings (REQUIRED, one subsection per dimension)
Each finding:
```
- finding: <one sentence>
evidence: <path:line> — "<short quote>"
turns: <first><last>
confidence: high | medium | low
```
A dimension with nothing to report says `none found — checked: <what was checked>`.
### 6.1 Skill timeline
### 6.2 Plan adherence
### 6.3 Repeated work
### 6.4 Stumbles
### 6.5 Quality evidence
### 6.6 Request conflicts
### 6.7 Cost and time
### 6.8 Other plugins and skills used
## 7. Superpowers involvement (REQUIRED)
not indicated | possible | likely
Evidence lines: <path:line list>. This section states involvement only. It
does not name a defect and does not propose a change.
## 8. Coverage notes (REQUIRED)
- Not read: <ranges, files, and why>
- Harness features unavailable: <list or none>
- Session was in progress at read time: yes/no
- For your human partner to double-check: <list or none>
## 9. Similar sessions (only when requested)
| Session id | Path | Date | Harness | Matched | Did not match |
|---|---|---|---|---|---|