review
Audit the debt registry, rank survivors by churn × Fowler quadrant, surface a top-N list, then walk paydown on user follow-up. Use when the user ask…
它会碰到什么
逐条看命中(3 条严重或高危)
- 高
scripts/review.py:59cred-envreadoverride = os.environ.get("DEBT_OPS_CACHE") - 高
scripts/review.py:65exec-spawnout = subprocess.run(
- 高
scripts/review.py:117exec-spawnout = subprocess.run(args, capture_output=True, text=True, timeout=3)
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
review — audit + (on follow-up) walk paydown
Two modes. First turn: print the audit and stop. On a user follow-up ("fix the top one," "walk these," "do A," "pay some down"), apply the rubric below.
First turn: print the audit
Run the bundled review.py (it lives in this skill's scripts/ directory — reference it with the relative path; Codex resolves it against the skill root):
python3 scripts/review.py
Optional: --top N to surface more than the default 3 candidates.
Re-emit the helper's stdout verbatim in a fenced code block. Codex may collapse long bash outputs — if you don't print it yourself, the user might not see it. Copy exactly: no preamble, no summary, no "want me to fix the top one?" The fenced block preserves column alignment.
Then stop. The user picks the next move.
Paydown mode (only on user follow-up)
Work through requested entries one at a time. Confirm before each fix. Never auto-batch. Never auto-commit.
For each entry, read the registry file, the hotspot, and adjacent tests. Apply this rubric:
- Already fixed? If the marker/symptom the entry describes no longer appears in the hotspot file, say so and add the entry's letter to the drop list. Don't re-fix.
- Cold area? Churn=0 since
created:and age >90d → propose deferring. ~20% of files generate ~80% of debt-related rework; don't pay down vanity refactors. - Prudent-deliberate with payoff_trigger not met? Honor the trigger. Skip with a one-line "trigger not met: <quote>."
- Fix candidate? Propose the smallest change that resolves the entry. Improvement, not perfection — don't refactor surrounding code.
When you fix
- Read the repo first. Check the test framework, adjacent tests, the cached feedback commands. Adapt to what exists; don't impose a new style.
- TDD where tests exist. Write a failing test that pins the deferral, then make it pass. Don't weaken or delete existing tests to make a fix pass.
- No tests in this area? Surface that and ask: write one, or fix without?
- Explain why this resolves the entry. Cite the entry's
payoff_triggeror body — don't commit code you can't explain. - Risky fix? Auth, payments, migrations, public APIs, or
ai_authored: true→ run a fresh-context review of the diff before suggesting commit. Fresh-context review catches what the writer's motivated reasoning misses. - Don't commit. Show the diff. The user runs the gates, drops the entry with
drop A, and commits.
Pacing
Aim for 3–10 entries per session — continuous paydown outperforms stop-the-world batches. If the user says "do them all," push back once: unsupervised AI cleanup measurably increases duplicate blocks and short-term churn. If they insist, still one-at-a-time with diffs surfaced.
Speak plainly
The frontmatter uses a research taxonomy (quadrant, category) for ranking and grounding — it is not user-facing vocabulary. When you talk about an entry, describe it in plain words; never say "prudent-inadvertent", "reckless-deliberate", "code_rot", etc. to the user. Use the entry's body and a plain phrase (e.g. "a planned tradeoff", "a shortcut you knew about", "came up later") instead. The review.py output is already translated — match its tone.
Don't
- Don't ask the user to confirm before running
review.py. - Don't paraphrase the helper's stdout. Copy it verbatim into the fenced code block.
- Don't enter paydown mode on the first turn. Stop after the report. Wait for the user's intent.
- Don't auto-commit. Ever.
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它属于哪个仓库
plugins/bcanfield/agentic-tech-debt/skills/review/SKILL.md同一个仓库里的其他技能
同名技能的其他版本
有 5 个不同仓库或目录里都有叫 review 的技能。它们内容并不相同,别混用:
- hashgraph-online/awesome-codex-plugins — Review branch changes against Archcore docs, or report project health. Use for 'review my
- hashgraph-online/awesome-codex-plugins — Code review for PRs or staged changes. >80% confidence threshold. Verdict: APPROVE, REQUES
- hashgraph-online/awesome-codex-plugins — Use before merge, after subagents, or for spec/plan review.
- hashgraph-online/awesome-codex-plugins — Run a standard Claude Code review of local git changes in this repository. Args: --wait, -