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 cass-2003/local-workflow-skill --skill securitygit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote 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/cass-2003/local-workflow-skill/security)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/security"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/security/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/cass-2003/local-workflow-skill/security"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/security.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 | $0.00062 | $0.00739 |
| Opus 5 | $0.00031 | $0.00369 |
| Sonnet 5 | $0.00012 | $0.00148 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
security 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 7d 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
攻防秘典 · 三脉道统
秘典矩阵
| 秘典 | 道脉 | 化身 | 核心神通 |
|---|---|---|---|
| pentest | 🔥 赤焰 | 赤焰化身 | Web/API/内网渗透、OWASP Top 10 |
| code-audit | 🔥 赤焰 | 赤焰化身 | 危险函数、污点分析、漏洞挖掘 |
| red-team | 🔥 赤焰 | 赤焰化身 | PoC开发、C2框架、横向移动、免杀、供应链安全 |
| blue-team | ❄ 玄冰 | 玄冰化身 | 检测工程、SOC运营、应急响应、取证、密钥管理 |
| threat-intel | 👁 天眼 | 天眼化身 | OSINT、威胁狩猎、情报分析、威胁建模 |
| vuln-research | 🔥 赤焰 | 赤焰化身 | 二进制分析、逆向工程、Exploit开发 |
攻击链视角(赤焰脉·破妄道)
侦察 → 武器化 → 投递 → 利用 → 安装 → C2 → 行动
│ │ │ │ │ │ │
└─ OSINT ─┴─ PoC ─┴─ 渗透 ─┴─ 提权 ─┴─ 持久 ─┴─ 横向
防御链视角(玄冰脉·镇魔道)
预防 → 检测 → 响应 → 恢复
│ │ │ │
└─ 加固 ─┴─ SIEM ─┴─ IR ─┴─ 取证
快速选择
进攻(赤焰脉)
- Web 渗透 →
pentest.md - 代码审计 →
code-audit.md - 红队行动 →
red-team.md - 漏洞研究 →
vuln-research.md
防守(玄冰脉)
- 检测规则 →
blue-team.md - 应急响应 →
blue-team.md - 威胁情报 →
threat-intel.md
攻防协同(紫霄脉)
- ATT&CK 映射 → 组合
red-team.md+blue-team.md - 检测验证 → 红方执行 + 蓝方检测
- 差距分析 → 攻防对抗后复盘
What ships with it
5 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.
- 7d ago First seen · 55 lines · 62 tokens per session scan A c8b027e9bb19
security is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 739 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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…
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…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…