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/telagod/code-abyss/architecting-securitynpx skills add telagod/code-abyss --skill architecting-securitygit clone --depth 1 https://github.com/telagod/code-abyssWhat 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 | $0.00104 | $0.01335 |
| Opus 5 | $0.00052 | $0.00668 |
| Sonnet 5 | $0.00021 | $0.00267 |
| Haiku 4.5 | $0.00010 | $0.00134 |
Grade A, and why
architecting-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 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
安全架构与治理
判断先于执行：决定「是否做 / 选什么 / 如何取舍」（栈、方案、架构、权衡）前，先读领域判断内核
skills/_kernel/security/SKILL.md——它管 judgment，本秘典管 execution；冲突时以内核判断为准。
架构是预防层，不是补丁。先建模再写代码，先定边界再开 API。控制必须可证据化。
路由
| 意图 | 秘典 | 核心 |
|---|---|---|
| 威胁建模 | threat-modeling | STRIDE / PASTA / LINDDUN / DFD / Attack Tree |
| 身份与零信任 | identity-and-zero-trust | IAM / SSO / MFA / Kerberos / PAM / Conditional Access |
| 合规与证据 | compliance-and-evidence | SOC2 / PCI / HIPAA / GDPR / ISO27001 / DLP / 隐私工程 |
何时使用
| 场景 | 用 | 不用 |
|---|---|---|
| 新系统设计 / 新攻击面引入 | ✅ STRIDE + DFD | — |
| 重大架构变更（鉴权、数据流、信任边界） | ✅ 重新建模 | — |
| 引入 PII / PHI / PCI 数据 | ✅ LINDDUN + 合规映射 | — |
| 上线前安全门禁 / 客户安全问卷 | ✅ 控制矩阵 + 证据 | — |
| 已有架构无变更 | ❌ | 用现有控制即可 |
| 仅 bug 修复 / 样式调整 | ❌ | 走 analyzing-security |
| 渗透实施层面 | ❌ | 用 securing-systems |
执行链
威胁建模 (STRIDE/PASTA/LINDDUN)
→ 控制设计 (preventive / detective / responsive 三层)
→ 实现 (代码、IaC、policy-as-code)
→ 验证 (渗透 / 红队 / 控制测试)
→ 证据留痕 (日志 / 审计 / 合规映射)
每环必须可回答「这控制对应哪条威胁？这威胁缓解到什么残留水平？谁验收？」
决策矩阵
| 决策点 | 选项 A | 选项 B | 判据 |
|---|---|---|---|
| 鉴权协议 | SAML 2.0 | OIDC | 企业内部 SSO → SAML；移动/SPA/API → OIDC |
| MFA 强度 | TOTP / Push | FIDO2 / WebAuthn | 高价值账号、抗钓鱼 → FIDO2 强制 |
| 特权访问 | Standing privilege | JIT + Approval | 生产/敏感 → JIT；运维便利 → Standing 必有补偿 |
| 合规起步 | SOC 2 Type I | Type II | 客户问卷应付 → I；正式审计 → II（6-12月观察期） |
| 数据脱敏 | 假名化（可逆） | 匿名化（不可逆） | 业务侧仍需关联 → 假名化 + KMS；统计/共享 → 匿名化 |
| 跨境传输 | SCC | BCR | 偶发场景 → SCC；跨国集团内部 → BCR |
与其他 skill 联动
- 威胁建模产出 → analyzing-security 把高危项纳入扫描规则
- 代码层防御 → securing-systems（pentest / code-audit / red-team）
- IaC 策略落地 → provisioning-infrastructure（OPA / Sentinel / Conftest）
- LLM/Agent 系统威胁 → building-agent-systems（Prompt Injection / 模型窃取）
- API 接口面 → designing-architectures 的
api-design.md - 审计证据自动化 → automating-devops（CI 持续合规）
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.
- 2d ago First seen · 72 lines · 104 tokens per session scan A 9617a7759728
architecting-security is a skill published in the GitHub repository telagod/code-abyss (239 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 1,335 once invoked, about $0.0005 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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