analyze
Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>
Generate a text-based attack surface mindmap. Shows tech stack → vuln class → endpoint relationships. Usage: /mindmap <target>
$ npx -y skills add H-mmer/pentest-agents --skill mindmap --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/mindmapContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate a text-based attack surface mindmap. Shows tech stack → vuln class → endpoint relationships. Usage: /mindmap <target>
name: mindmap description: "Generate a text-based attack surface mindmap. Shows tech stack → vuln class → endpoint relationships. Usage: /mindmap <target>" disable-model-invocation: false
Generate attack surface mindmap for: $ARGUMENTS
1. Read brain data: `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS` 2. Read recon data from recon/ directory 3. Read intel data: `uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py suggest <tech-stack>` 4. Generate a tree-format mindmap:
target.com
├── Tech Stack
│ ├── Next.js 14 → SSRF (Server Actions), Open Redirect
│ ├── GraphQL → Introspection, IDOR via node(), Mutation Auth
│ └── PostgreSQL → SQL Injection
├── Auth
│ ├── Okta SSO → SAML bypass, OAuth redirect_uri
│ └── JWT → Secret brute-force, Algorithm confusion
├── API Surface
│ ├── /api/v2/users/{id}/* → IDOR (P1)
│ │ ├── /orders — TESTED: exhausted
│ │ ├── /export — UNTESTED
│ │ └── /settings — UNTESTED
│ ├── /api/v2/payments/* → Race conditions, price manipulation (P1)
│ └── /graphql → Auth bypass on mutations (P1)
├── File Handling
│ └── /upload → Extension bypass, SVG XSS (P2)
└── Findings
├── [CONFIRMED] IDOR on /api/v2/users/{id}/orders
└── [EXHAUSTED] XSS on /search — CloudFront blocks all payloads5. Mark each endpoint as TESTED, UNTESTED, CONFIRMED, or EXHAUSTED from brain data 6. Suggest: "Start with UNTESTED P1 endpoints. Run /hunt $ARGUMENTS --vuln-class <suggested>"
The mindmap should expose attack decisions at a glance.
Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.
Repo: H-mmer/pentest-agents
Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>
Autonomous hunt orchestrator. INSATIABLE in --autonomous mode: enforces an EXHAUSTION CONTRACT (26 canonical hunter classes, surface probe A-I, depth-engine…
Manage the engagement brain. Subcommands: 'init' to set up, 'brief <target>' for pre-flight, 'status' for overview, 'exhausted [target]' to see dead ends.
Build deep exploit chains — dispatches chain-builder agent. Given bug A, recursively walks the chain graph. Usage: /chain (then describe bug A)
Run the finding correlation engine to discover attack chains from individual findings.