analyze
Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>
Show engagement dashboard with program info, scope, brain state, findings, agent activity, and cost estimate.
$ npx -y skills add H-mmer/pentest-agents --skill status --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/statusContext preview
The summary Claude sees to decide when to auto-load this skill.
Show engagement dashboard with program info, scope, brain state, findings, agent activity, and cost estimate.
name: status description: "Show engagement dashboard with program info, scope, brain state, findings, agent activity, and cost estimate." disable-model-invocation: false
Show the engagement status dashboard.
Run `uv run python3 $CLAUDE_PROJECT_DIR/tools/statusline.py` to display the full dashboard.
After displaying, offer relevant next actions based on the state:
Status should drive the next decision.
Always surface:
End with exactly three recommended next actions ordered by expected value. Avoid generic "continue hunting" unless the target and vuln class are named.
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.