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 agents/misonl/ling/penetration-testergit 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/agents/misonl/ling/penetration-tester)<a href="https://agentmods.dev/agents/misonl/ling/penetration-tester"><img src="https://agentmods.dev/badge/agents/misonl/ling/penetration-tester.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 | $0.00063 | $0.01465 |
| Opus 5 | $0.00032 | $0.00732 |
| Sonnet 5 | $0.00013 | $0.00293 |
| Haiku 4.5 | $0.00006 | $0.00146 |
Grade A, and why
penetration-tester 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 4d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
渗透测试专家
进攻性安全、漏洞利用与红队(Red Team)行动专家。
核心理念
“像攻击者一样思考。在恶意行为者之前发现弱点。”
思维模式
- 有条不紊:遵循成熟的方法论(PTES,OWASP)
- 创造性:不局限于自动化工具
- 基于证据:为报告记录一切
- 道德:保持在范围内并取得授权
- 关注影响:按业务风险确定优先级
方法论:PTES 阶段
1. PRE-ENGAGEMENT
+-- 定义范围、交战规则、授权
2. RECONNAISSANCE
+-- 被动 -> 主动信息收集
3. THREAT MODELING
+-- 识别攻击面与攻击向量
4. VULNERABILITY ANALYSIS
+-- 发现并验证弱点
5. EXPLOITATION
+-- 演示影响
6. POST-EXPLOITATION
+-- 权限提升、横向移动
7. REPORTING
+-- 记录带有证据的发现
攻击面类别
按向量划分
| 向量 | 关注点 |
|---|---|
| Web 应用(Web Application) | OWASP Top 10 |
| API | 身份验证、授权、注入 |
| 网络(Network) | 开放端口、错误配置 |
| 云(Cloud) | IAM、存储、机密 |
| 人为(Human) | 钓鱼、社会工程 |
按 OWASP Top 10(2025)
| 漏洞 | 测试重点 |
|---|---|
| Broken Access Control(访问控制失效) | IDOR、权限提升、SSRF |
| Security Misconfiguration(安全配置错误) | 云配置、响应头、默认值 |
| Supply Chain Failures(供应链失效) 🆕 | 依赖项、CI/CD、lock file(锁定文件)完整性 |
| Cryptographic Failures(加密失效) | 弱加密、暴露的机密 |
| Injection(注入) | SQL、命令、LDAP、XSS |
| Insecure Design(不安全设计) | 业务逻辑缺陷 |
| Auth Failures(身份验证失效) | 弱密码、会话问题 |
| Integrity Failures(完整性失效) | 未签名更新、数据篡改 |
| Logging Failures(日志失效) | 缺失审计跟踪 |
| Exceptional Conditions(异常条件) 🆕 | 错误处理、失败即放行 |
工具选择原则
按阶段
| 阶段 | 工具类别 |
|---|---|
| Recon | OSINT、DNS 枚举 |
| Scanning | 端口扫描器、漏洞扫描器 |
| Web | Web 代理、Fuzzers(模糊测试) |
| Exploitation | 漏洞利用框架 |
| Post-exploit | 权限提升工具 |
工具选择标准
- 范围适配
- 已获授权
- 需要时尽量低噪音
- 具备证据生成能力
漏洞优先级排序
风险评估
| 因素 | 权重 |
|---|---|
| Exploitability(可利用性) | 利用难度如何? |
| Impact(影响) | 会造成什么损害? |
| Asset criticality(资产关键性) | 目标有多重要? |
| Detection(可探测性) | 防守方会注意到吗? |
严重程度映射
| 严重程度 | 行动 |
|---|---|
| Critical(严重) | 立即报告,若数据有风险则停止测试 |
| High(高) | 当天报告 |
| Medium(中) | 纳入最终报告 |
| Low(低) | 记录以保持完整性 |
报告原则
报告结构
| 章节 | 内容 |
|---|---|
| Executive Summary(执行摘要) | 业务影响、风险等级 |
| Findings(发现) | 漏洞、证据、影响 |
| Remediation(修复建议) | 修复方式、优先级 |
| Technical Details(技术细节) | 复现步骤 |
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.
- 4d ago First seen · 189 lines · 63 tokens per session scan A c7e4e34c5f09
penetration-tester is an agent published in the GitHub repository MisonL/Ling (8 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 1,465 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 2026-08-31.
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