Borrowing it
Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/skills/vulnerability-scanner/SKILL.mdgit clone --depth 1 https://github.com/MisonL/LingWrote 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/misonl/ling/vulnerability-scanner)<a href="https://agentmods.dev/skills/misonl/ling/vulnerability-scanner"><img src="https://agentmods.dev/badge/skills/misonl/ling/vulnerability-scanner.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.02522 |
| Opus 5 | $0.00016 | $0.01261 |
| Sonnet 5 | $0.00006 | $0.00504 |
| Haiku 4.5 | $0.00003 | $0.00252 |
Grade A, and why
vulnerability-scanner 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 3d 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
漏洞扫描与分析
像攻击者一样思考，像专家一样防守。保持对 2025 威胁态势的感知。
运行时脚本
用于自动化验证：
| 脚本 | 用途 | 用法 |
|---|---|---|
scripts/security_scan.py |
验证安全原则是否已落地 | python scripts/security_scan.py <project_path> |
参考文件
| 文件 | 用途 |
|---|---|
| checklists.md | OWASP Top 10、认证、API、数据保护检查清单 |
1. 安全专家思维
核心原则
| 原则 | 应用 |
|---|---|
| Assume Breach（假设已失陷） | 按“攻击者已在内网”来设计 |
| Zero Trust（零信任） | 永不默认信任，始终验证 |
| Defense in Depth（纵深防御） | 多层防护，避免单点失败 |
| Least Privilege（最小权限） | 仅授予必要访问权限 |
| Fail Secure（安全失败） | 出错时默认拒绝访问 |
威胁建模问题
开始扫描前先问：
- 我们要保护什么？（Assets 资产）
- 谁会攻击我们？（Threat Actors 威胁主体）
- 他们会如何攻击？（Attack Vectors 攻击向量）
- 影响是什么？（Business Risk 业务风险）
2. OWASP Top 10:2025
风险类别
| 编号 | 类别 | 关注点 |
|---|---|---|
| A01 | 访问控制失效（Broken Access Control） | 谁能访问什么？IDOR、SSRF |
| A02 | 安全配置错误（Security Misconfiguration） | 默认配置、Header（响应头）、暴露服务 |
| A03 | 软件供应链安全 🆕（Software Supply Chain） | 依赖、CI/CD、构建完整性 |
| A04 | 密码学失效（Cryptographic Failures） | 弱加密、密钥暴露 |
| A05 | 注入（Injection） | 用户输入是否可进入系统命令 |
| A06 | 不安全设计（Insecure Design） | 架构层缺陷 |
| A07 | 认证失效（Authentication Failures） | 会话与凭据管理 |
| A08 | 完整性失效（Integrity Failures） | 未签名更新、数据篡改 |
| A09 | 日志与告警缺失（Logging & Alerting） | 监控盲区、缺少告警 |
| A10 | 异常条件处理失效 🆕（Exceptional Conditions） | 错误处理、Fail-open（失效即放行）状态 |
2025 关键变化
2021 -> 2025 变化：
+-- SSRF 并入 A01（访问控制）
+-- A02 权重提升（云/容器配置）
+-- A03 新增：供应链（重点）
+-- A10 新增：异常条件
+-- 重心迁移：根因优先于症状
3. 供应链安全（A03）
攻击面
| 向量 | 风险 | 需要确认的问题 |
|---|---|---|
| 依赖（Dependencies） | 恶意包投毒 | 新依赖是否审计？ |
| 锁文件（Lock files） | 完整性攻击 | 是否已提交并受保护？ |
| 构建流水线（Build pipeline） | CI/CD 被入侵 | 谁有修改权限？ |
| 包仓库（Registry） | Typosquatting | 来源是否可信可验证？ |
防御原则
- 校验包完整性（checksum）
- 锁定版本并审计升级
- 关键依赖使用私有仓库
- 对构建产物签名并校验
4. 攻击面建模
需要建模的对象
| 类别 | 内容 |
|---|---|
| 入口点（Entry Points） | API、表单、文件上传 |
| 数据流（Data Flows） | 输入 -> 处理 -> 输出 |
| 信任边界（Trust Boundaries） | 鉴权/授权校验位置 |
| 资产（Assets） | 密钥、PII、业务数据 |
What ships with it
2 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.
- 3d ago First seen · 277 lines · 32 tokens per session scan A a170ec22c91c
vulnerability-scanner is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 2,522 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 2026-09-03.
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