analyze
Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>
Record a platform response and update learning. Usage: /learn <report_id> <status> [--bounty 500] [--vuln-type XSS]
Claude Code
$ npx -y skills add H-mmer/pentest-agents --skill learn --agent claude-code
Codex
$ npx skills add H-mmer/pentest-agents --skill learn -a codex -y
Cursor
$ npx skills add H-mmer/pentest-agents --skill learn -a cursor -y
Gemini CLI
$ npx skills add H-mmer/pentest-agents --skill learn -a gemini-cli -y
GitHub Copilot
$ npx skills add H-mmer/pentest-agents --skill learn -a github-copilot -y
OpenCode
$ npx skills add H-mmer/pentest-agents --skill learn -a opencode -y
Windsurf
$ npx skills add H-mmer/pentest-agents --skill learn -a windsurf -y
name: learn description: "Record a platform response and update learning. Usage: /learn <report_id> <status> [--bounty 500] [--vuln-type XSS]" disable-model-invocation: false
Record platform response: $ARGUMENTS
1. Parse arguments and run: `uv run python3 $CLAUDE_PROJECT_DIR/tools/response_tracker.py log $ARGUMENTS` 2. Also update brain: `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py log "Report response: $ARGUMENTS"` 3. Sync to global brain: `uv run python3 $CLAUDE_PROJECT_DIR/tools/global_brain.py sync-from-local` 4. Show updated insights: `uv run python3 $CLAUDE_PROJECT_DIR/tools/response_tracker.py insights`
Convert every platform response into a future hunting rule.
End with one concrete update: a brain pattern, a never-submit rule, a report wording change, or a target ranking adjustment.
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.
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,…
Manage the engagement brain. Subcommands: 'init' to set up, 'brief <target>' for pre-flight, 'status' for overview, 'exhausted…
Build deep exploit chains — dispatches chain-builder agent. Given bug A, recursively walks the chain graph. Usage: /chain (then…
Run the finding correlation engine to discover attack chains from individual findings.
Use for authorized security assessment of REST, GraphQL, WebSocket, or SOAP APIs, including discovery, authentication,…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys)…
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting…