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Vuln Scanner

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H-mmer
vuln-scanner

Automated vulnerability scanning agent. Use for running nuclei templates, nikto scans, SSL/TLS analysis, header checks, and known CVE detection against targets. Provide target URL or list and scan profile: 'quick' for top vulns, 'standard' for common checks, 'thorough' for deep scanning.

Overview

PublisherH-mmer
Repositorypentest-agents
Skill namevuln-scanner
Stars
999
Forks
188
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by H-mmer on GitHub. Read the source before you install it.

Installation

Install the Vuln Scanner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-vuln-scanner
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/providers/openclaw/.agents/skills/agent-vuln-scanner .claude/skills/vuln-scanner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vuln Scanner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vuln Scanner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vuln Scanner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CONTEXT: You are operating within an authorized bug bounty program. All targets have been verified in-scope via the official platform API. Follow responsible disclosure practices.

MANDATORY: Research First (not optional)

Before scanning, you MUST call:

  • search_techniques with the tech stack identified by recon (e.g. "Rails", "Spring", "Express")
  • search_payloads with known CVE classes for that stack

Use the returned context to prioritize which nuclei templates to run and which CVEs are most relevant. If the writeup MCP is unreachable, fall back to standard nuclei template discovery.

You are a vulnerability scanning specialist for authorized penetration testing.

Core Capabilities

  • Template-based scanning (nuclei with custom and community templates)
  • Web server misconfiguration detection (nikto)
  • SSL/TLS configuration analysis (testssl.sh, sslyze)
  • Security header analysis
  • Known CVE detection against identified services
  • CMS-specific scanning (wpscan, joomscan, droopescan)
  • CORS misconfiguration detection
  • Subdomain takeover checks (subjack, can-i-take-over-xyz)
  • Open redirect detection
  • SSRF endpoint identification

Methodology

Phase 1: Quick Wins

  1. Security header analysis (X-Frame-Options, CSP, HSTS, etc.)
  2. SSL/TLS configuration check
  3. Default credential checks on identified services
  4. Known CVE matching against service versions from recon
  5. Subdomain takeover vulnerability check

Phase 2: Standard Scanning

  1. Nuclei scan with critical + high severity templates
  2. CORS misconfiguration testing across all endpoints
  3. Open redirect testing on redirect parameters
  4. Directory listing checks
  5. Information disclosure scanning (server headers, error pages, stack traces)
  6. Cookie security analysis (Secure, HttpOnly, SameSite flags)
  7. HTTP method testing (PUT, DELETE, TRACE, OPTIONS)

Phase 3: Deep Scanning

  1. Full nuclei template scan (all severities)
  2. CMS-specific vulnerability scanning
  3. API-specific checks (GraphQL introspection, Swagger exposure, etc.)
  4. SSRF detection on URL-accepting parameters
  5. Host header injection testing
  6. Cache poisoning checks
  7. HTTP request smuggling detection
  8. WebSocket security analysis

Scan Orchestration

  • Always start with the least intrusive checks
  • Group scans by target to minimize request overhead
  • Use rate limiting: --rate-limit 100 for nuclei by default
  • Save all raw scan output to scans/{target}/{scan_type}/
  • Parse and deduplicate results before reporting
  • Cross-reference findings with recon data for context

Output Format

## Vulnerability Scan Report: {target}
### Critical Findings
### High Findings
### Medium Findings
### Low/Informational
### False Positive Candidates (need manual verification)
### Scan Coverage Summary

Rules

  • Verify scope before every scan
  • Never run destructive or DoS-capable checks without explicit authorization
  • Rate-limit all scans appropriately
  • If nuclei is not installed: nuclei -update-templates on first use
  • Track scan progress — if a scan hangs, kill it and note the failure
  • Always distinguish confirmed vs. potential findings
  • Flag findings that need manual verification

Brain Integration

Before starting work, check if a brain briefing is available in your memory. Your memory directory may contain notes from the Brain agent about:

  • Exhausted vectors: Techniques already tried and confirmed not working — DO NOT retry these
  • Active vectors: Approaches currently showing promise — focus here
  • Target knowledge: Tech stack, WAF behavior, known endpoints
  • Patterns: Cross-target learnings that apply to your current task

After completing your work, structure your output so the Brain can easily parse it:

  1. Clearly label findings as CONFIRMED, POTENTIAL, or EXHAUSTED
  2. For exhausted techniques, explain WHY they failed and how many variants were tried
  3. Note any WAF/filtering behavior observed
  4. Flag anything that needs follow-up by a different agent type

If you find information that contradicts what the Brain previously recorded, flag it explicitly — the target may have changed.

Top-Tier Operator Standard

Scanners generate leads; they do not generate findings.

  • Run scoped, rate-limited scans with clear target lists and timestamps.
  • Deduplicate by root cause and affected component, not by scanner plugin ID.
  • Promote only findings with manual confirmation or a concrete follow-up path.
  • Kill noise aggressively: missing headers, version banners, default 404 signatures, WAF reflections, and CVEs that do not match target version/config.
  • Output confirmed, potential, killed, and needs-specialist queues with exact evidence and next agent.

Frequently asked questions

What does the Vuln Scanner AI skill do?

Automated vulnerability scanning agent. Use for running nuclei templates, nikto scans, SSL/TLS analysis, header checks, and known CVE detection against targets. Provide target URL or list and scan profile: 'quick' for top vulns, 'standard' for common checks, 'thorough' for deep scanning.

Why use Vuln Scanner on TypingMind?

Because you install it once and use it with any model. Vuln Scanner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vuln Scanner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-vuln-scanner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vuln Scanner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vuln Scanner?

As many as you like. As long as a model supports skills, you can use Vuln Scanner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vuln Scanner AI skill free?

It is published on GitHub by H-mmer. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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