/fullscan
Full security assessment with brain coordination. Multi-phase, skips known-exhausted areas, builds on prior knowledge.
$ npx -y skills add H-mmer/pentest-agents --skill fullscan --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
/fullscan
Context preview
The summary Claude sees to decide when to auto-load this skill.
Full security assessment with brain coordination. Multi-phase, skips known-exhausted areas, builds on prior knowledge.
SKILL.md
fullscan.SKILL.mdname: fullscan
description: "Full security assessment with brain coordination. Multi-phase, skips known-exhausted areas, builds on prior knowledge."
disable-model-invocation: false
ALL agents dispatched by this command MUST use `model: "inherit"` in the Agent tool call.
Full security assessment on: $ARGUMENTS
Phase 0: Brain Briefing
1. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py init` (if first run) 2. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS` 3. `uv run python3 $CLAUDE_PROJECT_DIR/tools/scope_check.py $ARGUMENTS`
Phase 1: Recon (skip already-discovered assets)
Launch `recon` agent with brain context. Focus on discovering NEW subdomains and services beyond what's already known.
Phase 2: Scanning (skip exhausted areas)
Launch IN PARALLEL, each with brain context about what's been scanned before:
- `vuln-scanner` — skip known false positives, focus new hosts
- `config-auditor` — check if previously noted misconfigs are fixed
- `js-analyzer` — focus on new/changed JS files
Record all results to the brain after each agent returns.
Phase 3: Targeted Testing (brain-guided)
Based on Phase 2 + brain knowledge, selectively launch ONLY agents targeting UNTESTED or ACTIVE vectors:
- `xss-hunter` ONLY on endpoints not marked exhausted
- `api-audit` ONLY on newly discovered or untested endpoints
- `auth-tester` ONLY if new auth flows found
Record all results to the brain.
Phase 4: Reporting
1. `uv run python3 $CLAUDE_PROJECT_DIR/tools/dedup_findings.py --scan-dir scans/ --db findings.json --stats` 2. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py status` 3. Launch `poc-builder` for each confirmed finding 4. Launch `report-writer` with full brain context 5. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py log "Full scan completed on $ARGUMENTS"`
Top-Tier Fullscan Standard
A full scan must leave a defensible coverage ledger.
1. Start with the crown jewels: auth, tenant data, billing, admin, integrations, uploads, webhooks, exports, AI/tool surfaces, and source/repo exposure. 2. For each phase, record both positives and negatives. "Scanned" is invalid unless it names tools, targets, timestamps, and skipped areas. 3. Do not let scanner output dominate. Use scanners to find leads, then spend human-grade effort on state changes, authorization boundaries, and parser differentials. 4. Before reporting, run `/correlate` or `/chain` on all confirmed and partial findings. Single low bugs should not escape the scan if a plausible chain remains. 5. Final output must contain: confirmed findings, killed false positives, exhausted high-value paths, untested residual risk, and the next best command.
Read more
name: fullscan description: "Full security assessment with brain coordination. Multi-phase, skips known-exhausted areas, builds on prior knowledge." disable-model-invocation: false
ALL agents dispatched by this command MUST use `model: "inherit"` in the Agent tool call.
Full security assessment on: $ARGUMENTS
Phase 0: Brain Briefing
1. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py init` (if first run) 2. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS` 3. `uv run python3 $CLAUDE_PROJECT_DIR/tools/scope_check.py $ARGUMENTS`
Phase 1: Recon (skip already-discovered assets)
Launch `recon` agent with brain context. Focus on discovering NEW subdomains and services beyond what's already known.
Phase 2: Scanning (skip exhausted areas)
Launch IN PARALLEL, each with brain context about what's been scanned before:
- `vuln-scanner` — skip known false positives, focus new hosts
- `config-auditor` — check if previously noted misconfigs are fixed
- `js-analyzer` — focus on new/changed JS files
Record all results to the brain after each agent returns.
Phase 3: Targeted Testing (brain-guided)
Based on Phase 2 + brain knowledge, selectively launch ONLY agents targeting UNTESTED or ACTIVE vectors:
- `xss-hunter` ONLY on endpoints not marked exhausted
- `api-audit` ONLY on newly discovered or untested endpoints
- `auth-tester` ONLY if new auth flows found
Record all results to the brain.
Phase 4: Reporting
1. `uv run python3 $CLAUDE_PROJECT_DIR/tools/dedup_findings.py --scan-dir scans/ --db findings.json --stats` 2. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py status` 3. Launch `poc-builder` for each confirmed finding 4. Launch `report-writer` with full brain context 5. `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py log "Full scan completed on $ARGUMENTS"`
Top-Tier Fullscan Standard
A full scan must leave a defensible coverage ledger.
1. Start with the crown jewels: auth, tenant data, billing, admin, integrations, uploads, webhooks, exports, AI/tool surfaces, and source/repo exposure. 2. For each phase, record both positives and negatives. "Scanned" is invalid unless it names tools, targets, timestamps, and skipped areas. 3. Do not let scanner output dominate. Use scanners to find leads, then spend human-grade effort on state changes, authorization boundaries, and parser differentials. 4. Before reporting, run `/correlate` or `/chain` on all confirmed and partial findings. Single low bugs should not escape the scan if a plausible chain remains. 5. Final output must contain: confirmed findings, killed false positives, exhausted high-value paths, untested residual risk, and the next best command.
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

