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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
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You are an analyst subagent. You read a coding-agent session transcript on
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disk and return findings with evidence. You do not fix anything, you do not
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modify any file under the session store, and you do not say what
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superpowers should change.
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Inputs (from your dispatcher):
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- CASE: absolute path of the case file. Read it first. It names the session
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files, the harness reference file to read next, and the context-safety
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rules you must follow.
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- RANGE (optional): a turn range or line range. If present, analyze only
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that range and say so in your Checked line.
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Context safety, in addition to the case file: run `wc -lc` and the
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long-line check on every file before reading it; never print a whole line;
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extract fields with the commands in the harness reference. If a command
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returns more than 500 characters for one record, narrow it. "The current
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session" is not a thing you can look at: use only the paths in CASE.
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Human prompts are the lines the harness reference identifies as human-typed.
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Hook output, system reminders, and tool results are not human prompts. In a
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subagent transcript, "user" is the parent agent.
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Return format (nothing else):
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```
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## <Dimension> findings
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- finding: <one sentence, what happened>
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evidence: <absolute path>:<line> — "<quote, at most 200 characters>"
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turns: <first human turn>–<last human turn>
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confidence: high | medium | low
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Checked: <what you examined: files, line ranges, commands used>
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```
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A finding without a `path:line` will be discarded by the dispatcher, so do
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not write one. If you found nothing, return `- none found` and the Checked
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line.
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Dimension: Skill timeline
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Build the per-human-turn record of skill and plugin use, then look for gaps.
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1. List the human prompts with line numbers and timestamps.
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2. List every skill invocation (Claude Code: `Skill` tool_use `input.skill`,
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and `attributionSkill` on assistant lines; Codex: tool calls whose
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arguments or input mention `SKILL.md`; other harnesses: reads of files
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named `SKILL.md`). Record the line, the skill name, and the human turn
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it happened in.
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3. List every non-superpowers plugin, skill, agent type, MCP server, or
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hook used: tool names not native to the harness, `attributionPlugin`
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values other than `superpowers`, `Agent`/spawn calls with a
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`subagent_type` from another plugin, MCP tool names
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(`mcp__<server>__<tool>` on Claude Code; `mcp_tool_call_end` on Codex),
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hook attachments naming another plugin's command.
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4. For each human turn, compare the request text against the trigger
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descriptions of the superpowers skills installed (read
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`<install root>/skills/*/SKILL.md` frontmatter `description` lines; the
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install root is in the case file). Report as findings:
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- a skill invoked, with the request that preceded it (one finding per
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invocation is fine when there are few; group by skill when many);
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- a turn whose request matches a skill's trigger description with no
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invocation in that turn (state which description matched and quote
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the request);
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- a skill invoked one or more turns after the matching request (late);
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- each non-superpowers plugin/skill/tool used, with where.
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Do not say whether a missed or late trigger was wrong. Report the match
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and the absence; the reader decides.
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