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/biglionx/skillhub/code-reviewnpx skills add BiglionX/SkillHub --skill code-reviewgit clone --depth 1 https://github.com/BiglionX/SkillHubWhat 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 | $0.00056 | $0.00668 |
| Opus 5 | $0.00028 | $0.00334 |
| Sonnet 5 | $0.00011 | $0.00134 |
| Haiku 4.5 | $0.00006 | $0.00067 |
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 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
SkillHub 代码审查 (code-review)
本技能指导 Agent 对 SkillHub 仓库的代码改动做系统性审查。
何时使用
- 审查 PR（合并前）
- 复查 AI 代理或协作者的改动
- 上线前自查
工作流程
1. 理解改动
- 读 diff 与相关 issue/描述，明确意图
- 定位受影响包（apps/web、apps/cli、packages/*）
2. 运行质量门禁（可执行时）
-
pnpm lint（无 error，warning 需说明） -
pnpm typecheck - 相关测试：
pnpm --filter <包> run test/test:e2e - 涉及 Prisma：schema 变更是否配套
db:migrate/迁移说明
3. 工程约定核对
- 包命名
@skillhub/*、workspace:*依赖 - web 代码
@/别名、i18n（zh-CN/en-US/ja-JP/ko-KR 四语言 dictionary 同步） - API 路由有
__tests__/；错误处理用lib/api-response的 success/error 系列 - 注释/日志语言一致，无调试残留（console.log 无理由出现）
4. 安全与平台特定风险
- 认证：管理/写操作走
lib/auth-config+lib/admin-auth，禁止裸信凭 - 限流：公开 API 是否考虑
lib/middleware/rate-limit - 技能包相关改动：是否影响 SKILL.md 解析（
lib/skills/skill-md-parser.ts）、审核流程（app/api/reviews）、v2 端点（/api/v2/*） - 注入风险：SKILL.md 内容渲染（react-markdown）是否允许危险 HTML
- 密钥/URL 硬编码、.env 泄漏
5. 输出审查意见（markdown）
# 审查意见: <PR/改动描述>
- 结论: 批准 / 需修改 / 拒绝
- 阻塞项: (必须修复)
- 建议项: (可优化)
- 测试覆盖评估: 充分/不足 (具体)
注意
- 只审查、不直接改代码（除非用户明确要求"修复审查发现的问题"）
- 对空骨架包（api-client/ui/utils）的改动按实际内容审查，不为空目录扣分
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 · 55 lines · 56 tokens per session scan A c9ccd0a6de80
code-review is a skill published in the GitHub repository BiglionX/SkillHub (34 stars, last pushed 5d ago), licensed Apache-2.0. It adds 56 tokens to every session and 668 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…