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self-review

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Use when checking your own manuscript before submission from a reviewer's perspective. Returns anticipated Major/Minor comments with fixes, including numerical, citation and leakage checks, with an optional multi-reviewer panel. Someone else's paper is /peer-review.

skills/self-review/SKILL.md

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# Self-Review Skill

Check the user's own manuscript before submission and produce an actionable list of anticipated
reviewer comments, each with a specific fix — not a written review.

## Optional Flags

- `--fix`: after the report, apply fixes for every issue with `fixable_by_ai: true`, editing the manuscript in place, then report a diff summary. Never fix `fixable_by_ai: false` issues (missing data, design flaws). Maximum 2 fix-and-re-review iterations; if the score is still below threshold after the second, stop and report what remains as structural (inside `/write-paper` this routes to Phase 7.4a Audit Recovery).
- `--json`: also emit the structured JSON block (Phase 3c). Default when called from `/write-paper` Phase 7.
- `--panel`: run the multi-agent panel review (Phase 2.6) — domain-expert reviewers in parallel plus an editor synthesis — instead of the single-pass review. Opt-in and **off by default**, because it spawns N reviewer agents + 1 editor and costs several times more tokens; reserve it for a high-stakes final pass on a top-tier target. Do **not** combine with `--fix`: a panel diagnoses and prioritizes; run `--fix` as a separate pass once the author has triaged the panel's findings.

## Severity Framing

- **Fatal**: a design flaw existing data cannot fix (data leakage that invalidates all results, no reference standard, label–feature circularity). Submission would likely be rejected. Reserve Fatal for true design-level problems.
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