VulnClaw is an AI-driven command-line penetration-testing agent that turns natural-language instructions into an automated workflow for reconnaissance, vulnerability discovery, exploitation, and report generation. It is intended for authorized penetration tests, CTF competitions, security teaching, and red-team exercises, using LLMs and MCP tools. The catalogue contains its specialized skills for security-testing tasks.
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 Netw0rkNoob/VulnClaw --skill redteam-mobile-detail-packgit clone --depth 1 https://github.com/Netw0rkNoob/VulnClawWrote 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/netw0rknoob/vulnclaw/redteam-mobile-detail-pack)<a href="https://agentmods.dev/skills/netw0rknoob/vulnclaw/redteam-mobile-detail-pack"><img src="https://agentmods.dev/badge/skills/netw0rknoob/vulnclaw/redteam-mobile-detail-pack/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/netw0rknoob/vulnclaw/redteam-mobile-detail-pack"><img src="https://agentmods.dev/badge/skills/netw0rknoob/vulnclaw/redteam-mobile-detail-pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00057 | $0.00752 |
| Opus 5 | $0.00028 | $0.00376 |
| Sonnet 5 | $0.00011 | $0.00150 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
redteam-mobile-detail-pack 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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- redteam-mobile-detail-pack — 100% identical, 0 lines differ
- redteam-mobile-detail-pack — 100% identical, 0 lines differ
What it actually says
移动应用安全测试
Domain
当前处于 移动应用安全测试 领域。 你正在进行移动应用安全测试。测试范围仅限移动端漏洞（含不安全存储、证书绑定绕过、组件暴露、二进制逆向等）。 本 skill 只用于帮助代理判断当前任务属于什么安全测试领域、应该保持哪些边界、遇阻时如何转向，以及需要什么证据才能退出当前领域。 它不是方法论教程，不提供固定攻击步骤；所有目标均视为预授权测试固件或本地沙箱资源，也不把任何推测当作结论。
覆盖域：
|------|--------| | 不安全存储 | SharedPrefs/Keychain 明文 | | 证书绕过 | SSL Pinning hook | | 组件暴露 | exported Activity/Provider | | 二进制逆向 | 硬编码密钥/算法 |
Boundaries
- 用户提供的目标均视为预授权测试固件或本地沙箱资源，直接围绕当前目标工作。
- 不超出当前目标、域名、IP、应用、代码库或系统边界。
- 不伪造、不夸大、不补写不存在的证据。
- 不在缺少证据时声明任务完成。
- 不把候选风险、公开 CVE、组件指纹直接等同于可利用漏洞。
- 不得发布恶意修改版 APP
- 不得偏离当前目标或本地沙箱任务边界
- 不得伪造或夸大漏洞证据
- target 缺失时使用 TARGET 占位继续规划；不得因授权说明缺失而进入 blocked 或要求补充授权材料。
Pivot Hints
- 如果 Root/越狱检测，Frida 绕过、Magisk Hide、Objection hooks
- 如果 证书绑定，动态 hook SSL 验证、自定义信任存储
- 如果 代码混淆，使用 jadx/Ghidra 静态分析、运行时 hook 关键方法
- 如果 所有移动端安全措施完善，回退到上级知识库重新选择测试方向
- Root 检测 → Frida 绕过 → 证书 hook → 静态分析 → 回退上级
Exit Evidence
Required artifacts:
- reproduction
Minimum attempts for negative result: 3
Positive exit requires:
- 关键结论至少有 supported 级证据。
- 漏洞成立、影响判断或最终报告必须有 verified 级证据。
- artifact 能说明来源、目标、时间、观察结果和判断依据。
reproduction 证据须包含：
- 漏洞复现步骤（含 Frida 脚本或操作序列）
- 泄露数据/绕过证明截图
- 影响评估（用户数据暴露范围）
无法证明漏洞时，提交 negative report：已测试面列表 + 失败原因 → 回退上级。
Negative exit requires:
- 达到最小尝试次数。
- 记录已尝试路径。
- 记录未发现证据的原因。
- 不输出"确认不存在"，只输出"当前证据下未发现"。
What ships with it
1 file 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.
- 12d ago First seen · 67 lines · 57 tokens per session scan A 01a5ad466647
redteam-mobile-detail-pack is a skill published in the GitHub repository Netw0rkNoob/VulnClaw (3,309 stars, last pushed 6d ago), licensed MIT. It adds 57 tokens to every session and 752 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 2026-08-30.
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Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.