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 skills add cloud99277/KitClaw --skill skill-security-auditgit clone --depth 1 https://github.com/cloud99277/KitClawWrote 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/skills/cloud99277/kitclaw/skill-security-audit)<a href="https://agentmods.dev/skills/cloud99277/kitclaw/skill-security-audit"><img src="https://agentmods.dev/badge/skills/cloud99277/kitclaw/skill-security-audit/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/skills/cloud99277/kitclaw/skill-security-audit"><img src="https://agentmods.dev/badge/skills/cloud99277/kitclaw/skill-security-audit.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 | $0.00107 | $0.00634 |
| Opus 5.5 | $0.00043 | $0.00254 |
| Sonnet 5.5 | $0.00021 | $0.00127 |
| Haiku 4.5 | $0.00011 | $0.00063 |
Grade A, and why
skill-security-audit 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 1mo 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
Skill Security Audit — Skill 安全审计
定位
针对 ~/.ai-skills/ 中 skill 目录的安全静态分析工具。
与其他安全 skill 的差异：
| Skill | 扫描对象 | 用途 |
|---|---|---|
| skill-security-audit | skill 的 scripts/ 目录 |
检测凭据泄露、未声明网络请求、权限越界 |
security-review |
任意代码仓库 | 通用代码安全审查 |
security-scan |
.claude/ 配置文件 |
配置安全扫描 |
使用方式
# 审计单个 skill
python3 scripts/audit.py ~/.ai-skills/translate
# 审计单个 skill，仅凭据扫描
python3 scripts/audit.py ~/.ai-skills/translate --dimension=credentials
# 审计全仓
python3 scripts/audit.py ~/.ai-skills --all
# 审计全仓，输出 JSON 报告
python3 scripts/audit.py ~/.ai-skills --all --output=report.json
审计维度
| 维度 | 严重度 | 说明 |
|---|---|---|
| 凭据泄露 | 🔴 Critical | scripts/ 中硬编码的 API key/token/password |
| 数据外传 | 🔴 Critical | scripts/ 中未声明的外部 HTTP 请求 |
| 网络越界 | 🟡 High | scripts/ 有网络请求但 SKILL.md 未声明 |
| IO 越界 | 🟡 High | IO 契约声明与脚本实际行为不符 |
| Consent 机制 | 🟠 Medium | 使用逆向 API 的 skill 合规性检查 |
| 供应链 | 🟢 Low | 列出外部依赖文件 |
参考文档
references/audit-checklist.md— 详细审计规则和排除策略references/remediation-guide.md— 各类问题的修复指南
What ships with it
3 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.
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.
- 1mo ago First seen · 66 lines · 107 tokens per session scan A 675709dd5189
skill-security-audit is a skill published in the GitHub repository cloud99277/KitClaw (5 stars, last pushed 6mo ago), licensed MIT. It adds 107 tokens to every session and 634 once invoked, about $0.0004 per session on Opus 5.5. 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
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…