/status
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.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/status
Context 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.
SKILL.md
status.SKILL.mdname: 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:
- If no scope: suggest `/sync`
- If no brain: suggest `/brain init`
- If no findings: suggest `/quickscan` or `/fullscan`
- If findings but no reports: suggest `/report`
- If exhausted vectors are high: suggest focusing on untested areas
Top-Tier Dashboard Bar
Status should drive the next decision.
Always surface:
- highest-value untested target
- strongest confirmed finding not yet reported
- chain-pending feeders
- stale recon or scope data
- blockers requiring user action
- cost burn versus validated output
- evidence gaps before submission
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
Other skills on pentest-agents.
- /analyze
Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>
Open skill - /autopilot
Autonomous hunt orchestrator. INSATIABLE in --autonomous mode: enforces an EXHAUSTION CONTRACT (26 canonical hunter classes, surface probe A-I, depth-engine ≥25 attempts/class, wall-clock floor 90 min/target, PRE-COMPLETION GATE before any summary). No early stops, no clarifying
Open skill - /brain
Manage the engagement brain. Subcommands: 'init' to set up, 'brief <target>' for pre-flight, 'status' for overview, 'exhausted [target]' to see dead ends.
Open skill - /chain
Build deep exploit chains — dispatches chain-builder agent. Given bug A, recursively walks the chain graph. Usage: /chain (then describe bug A)
Open skill - /correlate
Run the finding correlation engine to discover attack chains from individual findings.
Open skill - /cost
Show cost tracking and ROI for this engagement.
Open skill