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 hackeronegit 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/hackerone)<a href="https://agentmods.dev/skills/netw0rknoob/vulnclaw/hackerone"><img src="https://agentmods.dev/badge/skills/netw0rknoob/vulnclaw/hackerone/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/hackerone"><img src="https://agentmods.dev/badge/skills/netw0rknoob/vulnclaw/hackerone.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 | $0.00043 | $0.01624 |
| Opus 5 | $0.00022 | $0.00812 |
| Sonnet 5 | $0.00009 | $0.00325 |
| Haiku 4.5 | $0.00004 | $0.00162 |
Grade A, and why
hackerone 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 9d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HackerOne 赏金 scope-guard Skill
你当前正在执行 HackerOne bug bounty 流程。本 Skill 是一层 scope-guard wrapper:
先解析并强制 program scope 与 program rules,再把每个 in-scope asset 交给
pentest-flow Skill 执行真正的渗透。严禁在任何阶段触碰 out-of-scope asset。
启动参数是一个 HackerOne program 链接(<SCOPE LINK>),例如
hackerone.com/<handle> 或 .../policy_scopes。本 Skill 无预设 target
(frontmatter requires_target: false)——target 从 scope 中发现。
阶段一:读取 scope(Read scope)
-
优先 fetch 链接
- 用 fetch 工具访问传入的
<SCOPE LINK>。 - HackerOne 是 JavaScript SPA:
hackerone.com/*的 fetch 通常只返回 空 app shell,没有渲染出的 scope 行(scope 数据来自hackerone.com/graphql或 authenticatedapi.hackerone.com,naive fetch 拿不到)。 - 检测空壳:若响应中没有可识别的 scope 表格 / asset 列表(只有
<div id="app">之类的骨架),判定为 fetch 失败。
- 用 fetch 工具访问传入的
-
fallback:请用户粘贴 scope
-
fetch 为空 / 被 login-wall / 仅 JS 渲染时,这是常态而非例外。
-
请用户从 program 页面的 Scope 标签把 in-scope 与 out-of-scope 两张表 直接粘贴过来。给出一个可参照的粘贴格式示例:
In scope: https://api.example.com | URL | Eligible for bounty *.example.com | WILDCARD | Eligible for bounty app.example.com | URL | In scope, NOT bounty-eligible com.example.android | GOOGLE_PLAY_APP_ID | Eligible for bounty Out of scope: blog.example.com | URL *.corp.example.com | WILDCARD
-
-
宽松解析(lenient parse)
- 从粘贴或 fetch 结果中提取两个列表:in-scope 与 out-of-scope。
- 识别 asset type(human label 或 API enum 均可):
URL、WILDCARD(*.x.com)、CIDR/IP、SOURCE_CODE、GOOGLE_PLAY_APP_ID/APPLE_STORE_APP_ID/TESTFLIGHT/OTHER_APK/OTHER_IPA、HARDWARE、AI_MODEL、SMART_CONTRACT、OTHER等。 - 识别 eligibility 三态(submission 与 bounty 是两个独立布尔):
submission=true, bounty=true→ in scope,可测,有赏金。submission=true, bounty=false→ in scope,可测,无赏金(勿与 out-of-scope 混淆)。submission=false→ out of scope,绝不测试。
- 解析不确定时,向用户确认,绝不把 asset 默认当作 in-scope。
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.
- 9d ago First seen · 113 lines · 43 tokens per session scan A 6d89f7bb4313
hackerone is a skill published in the GitHub repository Netw0rkNoob/VulnClaw (3,271 stars, last pushed 3d ago), licensed MIT. It adds 43 tokens to every session and 1,624 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 2026-08-30.
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