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remove-stale-code

Safely remove deletion-ready findings from logs/nightly-reports/stale-code.json. Use when asked to clean stale code, dead code, unused imports, variables, functions, classes, exports, components, or selectors from the deterministic daily report.

Quellinformationen

Repository
glowingkitty/OpenMates
Letzte Quellaktivität
10. August 2026 um 14:33
Erkannte Sprache von SKILL.md
Englisch
Sterne
50
Forks
3

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
remove-stale-code
description
Safely remove deletion-ready findings from logs/nightly-reports/stale-code.json. Use when asked to clean stale code, dead code, unused imports, variables, functions, classes, exports, components, or selectors from the deterministic daily report.
user-invocable
true
argument-hint
[fingerprint, path, or maximum candidate count]
# Remove Stale Code Use the deterministic report as a lead, never as authorization by itself. This workflow handles only `deletion_ready` findings and revalidates every guard against the current checkout before editing. ## Workflow 1. Start or resume a `sessions.py` maintenance session before edits. 2. Read `logs/nightly-reports/stale-code.json`. Stop if it is missing, malformed, has `status != "ok"`, or contains no `deletion_ready` findings. 3. Compare `subject_commit` with `git rev-parse HEAD`. If they differ, run `python3 scripts/stale_code_daily.py --dry-run-notify` and reread the report. 4. Select only findings whose `classification` is exactly `deletion_ready`. Apply a user-provided fingerprint/path filter when present. Otherwise process at most five findings from one category in one run. 5. For every selected finding, recompute its SHA-256 fingerprint from `category`, `subcategory`, repository-relative `file`, numeric `line` (or zero), and `code`, joined with NUL bytes. Skip it if the fingerprint differs. 6. Reread the target and search the repository for the symbol and its dynamic forms. Skip it if references, metadata registration, glob loading, decorators, reflection, public exports, generated paths, migrations, fixtures, route conventions, or compatibility markers make usage ambiguous. 7. Apply only the smallest finding-specific change. For Ruff F401 imports, reread and remove only the selected import statement or selected imported name from a multi-name statement with `apply_patch`; never run a file-wide autofix. Then run `ruff check --select F401 <file>` and inspect the diff. For an unsupported finding kind, stop rather than inventing a deletion strategy. 8. Rerun `python3 scripts/find_dead_code.py --json --all` and confirm each selected fingerprint disappeared without creating detector errors. 9. Run the smallest targeted lint/test command for every changed file. Do not treat the detector rerun as a substitute for product tests. 10. Review the final diff. Use `python3 scripts/sessions.py deploy` only after all selected candidates and targeted checks pass. Never commit or deploy skipped candidates as if they were removed. ## Refusal Rules - Never edit `review_only` or `suppressed` findings. - Never trust a report from another commit. - Never bulk-remove more than five findings or mix categories in one run. - Never delete a Svelte component or CSS selector solely from zero literal references. - Never delete compatibility, public API, framework registration, generated, migration, fixture, or route code without a separately approved contract. - Never continue when a required analyzer, reference search, or targeted test fails. ## Output Report selected fingerprints, removed findings, skipped findings with reasons, changed files, detector rerun result, targeted verification commands, and deploy commit when applicable.
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