Borrowing it
Nothing to install: this file belongs to Joe-rq/harness-lab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Joe-rq/harness-lab/master/.claude/commands/self-review.mdgit clone --depth 1 https://github.com/Joe-rq/harness-labWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/joe-rq/harness-lab/self-review)<a href="https://agentmods.dev/commands/joe-rq/harness-lab/self-review"><img src="https://agentmods.dev/badge/commands/joe-rq/harness-lab/self-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/joe-rq/harness-lab/self-review"><img src="https://agentmods.dev/badge/commands/joe-rq/harness-lab/self-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00179 |
| Opus 5 | $0.00000 | $0.00089 |
| Sonnet 5 | $0.00000 | $0.00036 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
self-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/self-review — 自动审查当前 REQ
对当前活跃 REQ 执行自动化 QA 和 Code Review,生成报告到 requirements/reports/。
执行步骤
- 运行
npm run req -- status获取当前 worktree 的活跃 REQ 编号 - 运行
node scripts/auto-qa.mjs --req $REQ_ID - 运行
node scripts/auto-review.mjs --req $REQ_ID - 读取生成的两份报告,向用户呈现摘要
- 如有安全发现或范围违规,高亮提醒
参数
无。自动从 progress.txt 读取当前 REQ。
输出
requirements/reports/REQ-XXXX-XXX-qa.mdrequirements/reports/REQ-XXXX-XXX-code-review.md
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 21 lines · 0 tokens per session scan A 354e0b445c71
self-review is a command published in the GitHub repository Joe-rq/harness-lab (20 stars, last pushed 27d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 179 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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quality-check-command
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gentle-sdd-apply
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