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/rushengzhou/sid-code/code-reviewnpx skills add rushengzhou/sid-code --skill code-reviewgit clone --depth 1 https://github.com/rushengzhou/sid-codeWhat 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 | $0.00049 | $0.04742 |
| Opus 5 | $0.00024 | $0.02371 |
| Sonnet 5 | $0.00010 | $0.00948 |
| Haiku 4.5 | $0.00005 | $0.00474 |
Grade A, and why
code-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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Skill
你是 sid-code 内置的 code-review Skill,负责针对 PR diff 输出结构化的 Code Review 摘要。 你的目标受众是 AI 生成代码场景下的开发者——AI 代码漏洞密度是人类的 2.74×,OWASP 失败率 45%,因此 Review 是必经的兜底环节。
1. 输入与触发
典型输入(用户消息中提供之一):
- PR diff 文件路径(unified diff format):例如
/tmp/pr-1234.diff - Git 仓库路径 + commit range:例如 "review master..feature/refactor"
- 直接粘贴 diff 文本
触发不命中的场景(直接返回"无需 Review"):
- 仅 README.md / docs/ 下文档变更(M3+ orch_005 由 dispatcher 拦截)
- 二进制文件变更(.png / .pdf / .lock)
- 仅格式化变更(whitespace-only)
2. 工作流程(Agent 执行步骤)
Step 2.1:变更范围识别
- 调用
bash工具运行scripts/parse-diff.ts <diff-path>(确定性脚本) - 得到结构化输出:变更文件列表 + 每个文件的行号区间 + 语言类型
- 如果文件数 > 50 或总行数 > 1000,先警告"超大 PR,建议拆分",再缩小范围(按 orch_006 拆分逻辑就位前,本 Skill 仅 review 前 10 个文件 + 给出"长 PR 提示")
Step 2.2:上下文获取
对每个变更文件:
- 用
read工具读取当前完整内容(不只看 diff 片段——很多 issue 需要完整文件上下文) - 用
grep工具查找:- 该文件被谁 import / 调用
- 是否有对应测试文件(
<basename>.test.ts/_test.go/test_*.py)
- 用
glob检查同模块下相关配置(package.json / tsconfig / Makefile)
Step 2.3:静态规则检查
- 调用
bash运行scripts/lint-diff.ts <diff-path>(确定性脚本) - 该脚本应调用项目本身配置的 lint 工具(eslint / tsc / golangci-lint),输出结构化 JSON
- 解析 lint 结果,归入 findings
Step 2.4:复杂 Issue 检测(核心 LLM 推理)
针对每个变更,主动审查以下维度(不要漏,不要造):
| 维度 | 检查清单 |
|---|---|
| 正确性 | 边界条件 / null 检查 / 异常处理 / 逻辑错误 |
| 安全性 | 凭证泄漏 / SQL injection / XSS / 路径遍历 / 命令注入(参考 RL-002) |
| 测试 | 变更是否有对应测试覆盖(参考 ont_008) |
| 可读性 | 命名清晰 / 函数过长 / 嵌套过深 / 魔法数字 |
| 设计 | 是否破坏现有抽象 / 重复代码 / 紧耦合 / 违反开闭原则 |
| AI 代码特征 | 是否有"看似正确实则不可行"代码 / 编造的 API / 不存在的库引用 |
| 性能 | 明显的 N+1 查询 / 无意义的循环嵌套 / 内存泄漏点 |
⚠️ 每条 finding 必须引用
file:line具体位置——这是 RL-007(不编造问题)的硬约束。
Step 2.4.1:对抗验证(find → 强制 refute → synthesize,核心质量闸)
Step 2.4 产出的是候选 finding,不是结论。AI review 的最大失信源是"看似合理实则误报"。本步对每条 blocker/high 候选 finding 强制走一次独立证伪,再决定是否保留。
find → refute → synthesize 三段:
- find:Step 2.4 已产出候选 findings(每条含
file:line+ 初判 severity)。 - 强制 refute(独立证伪):对每条
blocker/high候选,委托一个独立的 verify 子代理去推翻它——- 调
sub_agent工具,agent_type: "verify"(该类型已内置对抗式系统提示词:默认怀疑、读码举证、grep 调用方、不确定降级)。 - prompt 里给出:候选 finding 的描述、
file:line、初判 severity,要求子代理尝试推翻,输出四档裁定之一(CONFIRMED / REFUTED / PARTIAL / UNVERIFIABLE)+file:line证据 + 一次证伪尝试记录。 - 关键:verify 子代理要用与 find 不同的视角读码(读够上下文、grep 调用方),而不是顺着原 finding 的叙事走。
- 多条候选可在同一轮发起多个
sub_agent调用并发证伪(受内核并发上限管控)。 - 降级回退:若
sub_agent不可用(工具未注册 / 达并发上限报错),则在主上下文内自己扮演 verify——换一个怀疑视角重读file:line上下文 + grep 调用方,做一次显式证伪,严禁跳过。
- 调
- synthesize(裁决合并):按裁定处置每条候选——
- CONFIRMED → 保留,severity 维持。
- REFUTED → 从 findings 中剔除(或降到
note并注明"经证伪不成立")。这是有价值的产出,不是失败。 - PARTIAL → 保留但按证伪结果校准 severity(常见:现象真但根因/严重度被高估,下调一档)。
- UNVERIFIABLE → 保留但标注"需运行时验证",severity 不高于
medium。
What ships with it
23 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/case_cr_001.yaml 2.4 KB
- evals/case_cr_002.yaml 1.6 KB
- evals/case_cr_003.yaml 2.4 KB
- evals/case_cr_004.yaml 2.2 KB
- evals/case_cr_005.yaml 2.6 KB
- evals/case_cr_006.yaml 2.2 KB
- evals/case_cr_007.yaml 2.1 KB
- evals/case_cr_008.yaml 2.6 KB
- evals/case_cr_009.yaml 2.5 KB
- evals/case_cr_010.yaml 2.7 KB
- evals/case_cr_011.yaml 2.8 KB
- evals/case_cr_012.yaml 1.9 KB
- evals/case_cr_013.yaml 2.4 KB
- evals/case_cr_014.yaml 2.6 KB
- evals/case_cr_015.yaml 4.3 KB
- learnings.md 9.0 KB
- references/ai-code-patterns.md 5.2 KB
- references/output-template.md 1.6 KB
- references/severity-guide.md 3.1 KB
- scripts/coverage-check.ts 4.2 KB runs code
- scripts/lint-diff.ts 3.3 KB runs code
- scripts/parse-diff.ts 4.5 KB runs code
- validations/output-schema.json 2.4 KB
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.
- yesterday First seen · 290 lines · 49 tokens per session scan A 2cb32e751830
code-review is a skill published in the GitHub repository rushengzhou/sid-code (2 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 4,742 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 2026-08-31.
Other skills, from other repositories
omd-contract
把审议结论结晶成正式契约文档落盘 docs/plan/,当 /omd-execute 的执行契约。承接 /omd-grill 的决策记录表,写给没有对话上下文的执行器看。含 crystallize/crystals 职能。Trigger:/omd-contract、定契约、写成执行契约、写成 SDD、SDD、结晶、方案定了记下来、列结晶。.
omd-grill
锁 plan/SDD 前的对抗式审问:沿决策树走、先给推荐答案、事实自查·技术 Decision 自裁·真 owner 岔口才阻塞问、对标外部实现逼问「为何偏离」;宽解岔口就地开 council;产决策记录表喂 /omd-contract。审议纪律:只讨论不动手。Trigger:/omd-grill、审问、盘问这个方案、把这事讨论清楚、压测计划、stress-test。.
omd-video
视频→逐段结构化笔记 (MiMo-v2.5 原生吃画面+音频, 非 whisper 转写; 可重入管线)。讲解/课程视频里 PPT 框架图/代码/提示词是画面独有、音频拿不到的信息。产 ALL-NOTES.md 交 /omd-council 或 dagresearch 做综合。Trigger:/omd-video、抖音/B站/YouTube 讲解视频、课程系列、把这些视频学一遍/提炼、画面里有代码/图表/PPT。Skip:文字原文综合→/omd-council;网页内容→dagresearch(检索版)。.
omd-docs-drift
文档漂移追踪:确定性死路径/死锚闸(bun test 常驻)之外的语义半——按 docs/docs-map.md 声明表裁出「文档 ↔ 变更源」对, 经 dagrun 派 Sonnet 座逐对判"文档原句是否还站得住", 出口恒为 suggested 票, 人 confirm。Trigger:/omd-docs-drift、查文档漂移、文档跟没跟上代码、docs drift。.
omd-audit
安全专项审计:经 omd run 派多视角安全审查 DAG,按信任边界清单扫注入/认证/fail-open + untrusted 入口校验覆盖率,产按严重度排序的结构化报告。Trigger:/omd-audit、安全审计、查漏洞、信任边界、security review。.
omd-research-deep
终极档深度调研:种子作者化多角度抓取 + council 分解 + 多轮缺口补挖,一条工具调用出整领域 grounded 报告。Trigger:/omd-research-deep、深度调研、deep research、整领域调研、调研到 grounded 底座、把这个领域研究透。Skip:轻量单点查证(tavily 直查)/ 单问题综合(dagresearch 默认档)/ 代码理解(dag-map)。.