Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/7-e1even/learn-agent/code-review-checklistnpx skills add 7-e1even/learn-agent --skill code-review-checklistgit clone --depth 1 https://github.com/7-e1even/learn-agentWhat 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 | $0.00047 | $0.00473 |
| Opus 5 | $0.00023 | $0.00236 |
| Sonnet 5 | $0.00009 | $0.00095 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
code-review-checklist 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 2d 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
代码审查清单
审查的第一原则：先读需求再读 diff。不知道这次改动想达成什么，就只能审出格式问题。
正确性（最高优先级）
- 改动是否真的解决了它声称要解决的问题？构造一个具体输入在脑中跑一遍。
- 有没有"顺手"改了不相关的行为？每一行改动都应该能追溯到本次目标。
- 并发/重入：这段代码被同时调用两次会怎样？
边界
- 空集合、空字符串、null/undefined、0、负数、超长输入——逐个问"这里会怎样"。
- 循环的第一次和最后一次迭代是否和中间行为一致？
- 时区、编码（UTF-8 BOM、CRLF）、路径分隔符这类"在我机器上没问题"的经典来源。
错误处理
- 失败路径是吞掉、抛出还是返回错误值？和周围代码的约定一致吗？
- 报错文案是否包含足够上下文（哪个文件、哪个参数、期望什么）让人照做就能修？
- 资源（文件句柄、子进程、定时器）在错误路径上是否也被释放？
测试盲区
- 新增分支有没有对应测试？没有的话，是"难测"还是"忘了"？
- 测试断言的是行为还是实现细节？断实现细节的测试会在无害重构时误报。
输出格式
按严重度分组给结论：必须改（正确性/安全）→ 建议改（可维护性）→ 可选（风格）。 每条指出具体行号和理由，不说"感觉不太好"这种无法执行的话。
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.
- 2d ago First seen · 37 lines · 47 tokens per session scan A e7cde0a90a23
code-review-checklist is a skill published in the GitHub repository 7-e1even/learn-agent (275 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 473 once invoked, about $0.0002 per session on Opus 5. 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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