pentest-agents

---

~760 files · ~118k lines · 50 agents · 26 commands · 19 CLI tools · 11 skills · 2 MCP servers (16 bug-bounty platforms + BYO writeup search) · 2,500 payload lines

A complete bug bounty framework. Battle-tested hunting methodology with concrete payloads, 7-Question Gate validation, autonomous hunt loops, A→B exploit chain building, persistent brain with endpoint tracking, optional semantic writeup search (bring your own index), automatic cost tracking via CC hooks, live platform integration, and a cross-IDE installer that emits the native format for Claude Code, Codex, Gemini, Cursor, Windsurf, VS Code Copilot, and OpenClaw.

Quick Start

# MCP servers are launched via `uv run --with mcp` — no global pip install required.
export HACKERONE_USERNAME=you HACKERONE_TOKEN=your_token
uv run python3 tools/scaffold.py hackerone tesla
cd ~/bounties/hackerone-tesla && claude
/model opus             # Opus 4.7 [1M] — subagents inherit via model: "inherit"
/sync hackerone tesla
/brain init && /status
/hunt tesla.com

scaffold.py provisions the workspace for every supported project-scoped client, not only Claude Code: CLAUDE.md, AGENTS.md, .codex/, .agents/skills/, .gemini/, .cursor/, .windsurf/, .github/, and .vscode/mcp.json are generated from the copied workspace assets so paths resolve inside the bounty workspace.

Install (Claude Code + 6 other AI coding tools)

The framework ships pre-rendered for every supported tool. There are two ways to use it:

1. Use the bundles directly (no install step)

git clone https://github.com/H-mmer/pentest-agents-suite
cd pentest-agents-suite/pentest-agents/providers/codex
codex                       # or: cd ../gemini && gemini, etc.

The providers/<id>/ tree contains a fully-translated, ready-to-use bundle for each non-Claude target. Path references inside use .. to reach the repo's tools/, rules/, and mcp-*-server/ — so the bundle works as long as it stays inside the cloned repo.

2. Run the installer (writes into your own project or ~/.codex/ etc.)

python3 -m tools.installer install --targets all --scope project
python3 -m tools.installer install --targets codex --scope global

Install mode rewrites paths to absolute references back into the cloned pentest-agents repo, so the install works no matter where the user's own project lives.

Target	Agents	Slash commands	Rules	MCP	Scopes
Claude Code	native .claude/agents/*.md	.claude/skills/<name>/SKILL.md	CLAUDE.md	.mcp.json / ~/.claude.json	global + project
OpenAI Codex	native .codex/agents/*.toml	.agents/skills/<name>/SKILL.md	AGENTS.md (≤32 KiB)	[mcp_servers.*] in config.toml	global + project
Google Gemini	native .gemini/agents/*.md	TOML in .gemini/commands/	GEMINI.md	mcpServers in settings.json	global + project
Cursor	→ skills .cursor/skills/agent-*/SKILL.md (no native subagents)	→ skills .cursor/skills/cmd-*/SKILL.md	.cursor/rules/*.mdc + AGENTS.md	.cursor/mcp.json	global + project
Windsurf	→ skills	Workflows	.windsurf/rules/*.md (≤12 KiB / file)	~/.codeium/windsurf/mcp_config.json	global + project
VS Code Copilot	.github/agents/*.agent.md (≤30 KiB / agent)	.github/prompts/*.prompt.md	.github/copilot-instructions.md + .github/instructions/*	.vscode/mcp.json	project + global-MCP
OpenClaw	→ skills	→ skills	~/.openclaw/workspace/AGENTS.md or <proj>/AGENTS.md	mcp.servers in ~/.openclaw/openclaw.json	global + project (MCP is user-level)

Cursor, Windsurf, and OpenClaw have no native subagent concept; Claude-format agents render as skills/rules. Codex commands are emitted as AgentSkills under .agents/skills/; the deprecated .codex/prompts/ path is not used.

providers/ directory (in the cloned repo):

providers/
├── codex/    AGENTS.md + .codex/{agents,config.toml} + .agents/skills
├── gemini/   GEMINI.md + .gemini/{agents,commands} + settings.json
├── cursor/   AGENTS.md + .cursor/{rules,skills,mcp.json}
├── windsurf/ AGENTS.md + .windsurf/{rules,workflows,skills} + mcp_config.json
├── copilot/  .github/{copilot-instructions.md,instructions,prompts,agents} + .vscode/mcp.json
└── openclaw/ AGENTS.md + .agents/skills/ + openclaw.json

providers/ is generated, not edited by hand. Re-render after editing .claude/, rules/, or skills/ source:

python3 -m tools.installer render --targets all
python3 -m tools.installer render --check        # exits 1 if drift

The test_committed_providers_match_render pytest case enforces drift detection locally — there is no GitHub Actions CI by project policy.

What gets translated

When .claude/ content is rendered for non-Claude targets, the translator:

• Drops the model: field — each target uses its own default model.
• Strips Claude-specific prose — "Claude Code" → "the AI coding tool", "the Agent tool" → "the subagent dispatch tool", model: "inherit" is removed entirely.
• Rewrites $CLAUDE_PROJECT_DIR — to .. in providers/ (relative to the cloned repo), or to absolute paths into the cloned source repo when installing into a user's project.
• Maps effort: frontmatter to model_reasoning_effort in Codex TOML.
• Caps body length — Copilot agents are truncated at 30,000 chars (Copilot's hard limit). Windsurf rules are chunked at 12,000 chars (workspace) / 6,000 chars (global).
• Adds Copilot subagent links — orchestrator agents (chain-builder, correlator, recon-ranker) get an agents: list of siblings so Copilot wires the dispatch graph.

Installer management

pentest-agents list                      # detect which targets are installed
pentest-agents install --targets claude_code,codex --scope global
pentest-agents install --dry-run         # preview every file + JSON merge
pentest-agents verify                    # check manifest vs. disk (drift)
pentest-agents uninstall                 # reverse, restore .pa-backup files
pentest-agents render --targets all      # regenerate providers/<id>/
pentest-agents render --check            # drift gate (exit 1 if dirty)

Every install records a manifest (.pentest-agents/manifest.json for project scope, ~/.config/pentest-agents/manifest.json for global). Uninstall only removes files we wrote and surgically strips only the MCP/JSON keys we merged — your other settings are never touched. Conflicting writes back up the original as <path>.pa-backup and are restored on uninstall.

Workflow

New program:   /new → /sync → /brain init → /analyze → /surface → /hunt
Returning:     /resume <target> → /hunt or /autopilot
After finding: /validate → /chain → /report → /dupcheck → /submit → /learn
Batch triage:  /triage (7-Question Gate on all findings)

MCP Servers (2)

bounty-platforms (16 platforms)

HackerOne (full API), Bugcrowd, Intigriti, Immunefi (public), YesWeHack + 11 stubs. 7 MCP tools: list_platforms, get_program_scope, get_program_policy, search_hacktivity, sync_program, draft_report, submit_report.

writeup-search (BYO index)

Searchable knowledge base agents query during hunting and validation. 4 MCP tools:

• search_writeups — semantic search (FAISS) or keyword search for prior art
• get_writeup — full writeup content by ID
• search_techniques — exploitation techniques by vuln class
• search_payloads — curated payloads from rules/payloads.md

The writeup index is not bundled. Bulk-redistributing scraped hacktivity violates most platform ToS, so this repo ships the server only. The search_payloads + search_techniques fallback works out of the box; the semantic/keyword layers activate once you point the server at your own index.

Three search modes (auto-detected, graceful fallback):

Mode	Requires	Searches
FAISS (semantic)	faiss-cpu, sentence-transformers, your metadata.db + index.faiss	Your writeup corpus via vector embeddings
SQLite (keyword)	Your metadata.db only	Your writeup corpus via LIKE over the text column
Local (default)	Nothing — zero deps	rules/payloads.md + skills/ shipped in this repo

Point the server at your index by dropping metadata.db (+ optionally index.faiss) into ~/.local/share/pentest-writeups/, or set WRITEUP_DB_DIR=/path/to/dir.

Expected schema (metadata.db): a SQLite file with at least one table containing columns id, title, url, and one text column (content / text / body / writeup). Row order in the table must match vector order in index.faiss when using semantic mode.

Build your own index — rag-builder/

The repo now ships a local RAG/FAISS builder under rag-builder/ that turns a list of GitHub / GitLab repositories into a metadata.db + index.faiss pair the writeup-search MCP server consumes. Destructive operations (clone, embed, write) are always gated behind --execute — running the CLI without it prints the plan and changes nothing, so you can never wipe an existing index by accident.

cd rag-builder

# 1. Inspect the plan — no network, no writes.
python3 build.py status
python3 build.py ingest                    # dry-run (the default)

# 2. Opt-in pre-flight: probe every URL with `git ls-remote` (network).
python3 build.py ingest --check-remotes    # ~5s for 141 repos at 16 workers

# 3. Actually clone + index every repo from repos.yaml into ./data/.
python3 build.py ingest --execute
python3 build.py ingest --execute --check-remotes   # skip unreachable first

# 4. Point the MCP server at the output.
export WRITEUP_DB_DIR="$PWD/data"
python3 ../mcp-writeup-server/server.py --test

rag-builder/repos.yaml ships with a 146-entry seed covering CTF archives, bug-bounty reports, payload collections, and research aggregators — edit freely. repos-skipped.yaml is loaded automatically as an exclusion list (override with --skip-list or --no-skip-list). config.yaml controls the embedding model (all-MiniLM-L6-v2 by default), host allowlist, clone size cap, and file-size ceiling. See rag-builder/README.md for the full reference.

CC Hooks (automatic cost tracking)

Configured in settings.json, fires automatically:

• SubagentStop → cost_hook.py logs agent name + session to cost-tracking.json
• Stop → logs session end
• SessionStart → welcome message

Statusline shows live cost from session token data: $0.57

Commands (26)

Hunting & Analysis

Command	Description
/hunt <target> [--vuln-class]	Active hunting — searches writeup DB for techniques first, then tests with concrete payloads
/autopilot <target>	Autonomous loop with --paranoid/--normal/--yolo checkpoints
/surface <target>	P1/P2/Kill ranked attack surface
/chain	Build A→B→C exploit chains via chain-builder agent (9 capability rows + 4 documented deep chains in rules/chain-table.md)
/analyze <target>	AI analysis: crown jewels, attack paths, blind spots
/mindmap <target>	Attack surface tree with brain status
/sast <repo>	Source-code vulnerability hunting (entry → flow → gap → exploit pipeline)

Validation & Reporting

Command	Description
/validate <finding>	7-Question Gate → PASS/KILL/DOWNGRADE/CHAIN REQUIRED
/triage	Batch-validate ALL findings, kill weak ones
/quality <draft>	Score report 1-10 (blocks below 7)
/report [format]	Reports (hard gate: requires /validate PASS)
/dupcheck <desc>	Hacktivity + writeup DB for duplicates
/submit <finding>	Submit (hard gate: /validate PASS + /quality ≥ 7)

Session & Memory

Command	Description
/resume <target>	Resume — untested endpoints + suggestions
/remember	Log finding/pattern for cross-target learning
/learn <id> <status>	Record response — auto-boosts paid techniques
/brain	init, brief, status, endpoint, endpoints, record, exhausted

Infrastructure

Command	Description
/new, /sync, /status	Setup + dashboard
/pipeline, /quickscan, /fullscan	Scanning pipelines
/correlate	Chain discovery across findings
/cost, /monitor	Cost tracking, target change detection

Agents (50)

H1 Weakness Specialists (19)

xss-hunter (#60/#61/#62), sqli-hunter (#67), csrf-hunter (#57), ssrf-hunter (#75), ssti-hunter (#74), idor-hunter (#55), auth-tester (#27), info-disclosure (#18), open-redirect (#38), rce-hunter (#70), xxe-hunter (#63), file-upload (#39), cors-hunter (#58), subdomain-takeover (#145), business-logic (#28), race-condition (#29), privilege-escalation (#26), oauth-hunter (#1/#22/#106/#137), llm-ai-hunter (chains under #18/#55/#61/#70/#106)

Hunting & Analysis (3)

• validator — 7-Question Gate + never-submit list (PASS/KILL/DOWNGRADE/CHAIN)
• chain-builder — A→B chain walk against the capability table, searches writeup DB for proven chains
• recon-ranker — P1/P2/Kill surface ranking

Infrastructure / Recon (10)

recon, vuln-scanner, config-auditor, cloud-recon, js-analyzer, waf-profiler, graphql-audit, nuclei-writer, browser-agent (Burp MCP), browser-stealth-agent (Camoufox)

Meta / Validation (9)

brain, correlator, quality-check, monitor, poc-builder, report-writer, scope-check, browser-verifier (client-side PoC proof), dast-devils-advocate (adversarial downgrade)

SAST Pipeline (8)

sast-file-ranker, sast-entry-mapper, sast-danger-mapper, sast-flow-tracer, sast-gap-analyzer, sast-devils-advocate, sast-hunter, sast-exploit-builder

Specialized (1)

web3-auditor — Solidity grep arsenal, Foundry PoC, DeFi patterns

Hunting Skills (5 deep methodology skills + 6 reference skills = 11)

The hunt-* skills are vuln-class-specific methodology files distilled from public bug-bounty reports. Each has a verified 2024-2026 CVE catalog and sub-techniques. The matching specialist agent reads its skill via Read $CLAUDE_PROJECT_DIR/skills/hunt-<class>/SKILL.md before testing.

Skill	Lines	Pairs With	Highlights
skills/hunt-rce/SKILL.md	1,135	rce-hunter	1,218-report distillation. RSC CVE-2025-55182, runc Leaky Vessels, BentoML pickle, LangChain REPL, Tekton/OpenProject git arg injection, ingress-nginx, container/runtime, ML serving, agentic LLM tool-use, OSS supply chain
skills/hunt-idor/SKILL.md	969	idor-hunter	1,117-report distillation. Sam Curry automotive chain, OneUptime CVE-2026-30956, Zitadel V2Beta/Mgmt API, Inforcer tenant enum, Apache Answer UUIDv1 prediction, Indico BOLA, GraphQL field-level pivots, agentic AI cross-tenant
skills/hunt-xss/SKILL.md	968	xss-hunter	DOMPurify mXSS family, Auth0 nextjs-auth0 returnTo, RSC DoS family, markdown-to-jsx, listmonk admin-ATO, Trix rich-text editor (H1 #2819573 / #2521419), Jupyter notebook XSS (GHSA-rch3-82jr-f9w9), n8n MCP OAuth XSS (GHSA-537j-gqpc-p7fq), LinkedIn-class iframe-in-article (H1 #2212950), 10 sub-techniques (A-J), Semgrep / ast-grep / ripgrep / CodeQL patterns
skills/hunt-oauth/SKILL.md	770	oauth-hunter	365-report distillation. ruby-saml parser differentials, Authentik regex redirect_uri, workers-oauth-provider PKCE downgrade, Entra ID actor token, Hono JWT alg confusion, nOAuth, Tekton token exfil, Argo CD project token, tinyauth
skills/hunt-llm-ai/SKILL.md	930	llm-ai-hunter	OWASP LLM Top 10 v2025 + Agentic AI Top 10. Microsoft 365 Copilot ASCII Smuggling, LangChain GmailToolkit indirect injection (CVE-2025-46059), LangChain PythonREPLTool semantic RCE (CVE-2025-68613), BentoML pickle, Ollama RCE family, Open WebUI SSE injection, MLflow path traversal

Reference skills (read by methodology-aware agents): hunting-methodology, recon-methodology, report-writing, sast-methodology, triage-validation, vuln-classes.

CLI Tools (19)

Tool	Purpose
brain.py	Brain with endpoint tracking + circuit breaker
intel_engine.py	Hacktivity patterns + tech→vuln mapping
journal.py	JSONL session journal for /resume
target_selector.py	Program ROI ranking
cost_hook.py	CC hook: auto-logs agent completions via SubagentStop
statusline.py	Dashboard (--compact/--watch/--json)
scope_check.py	Scope validation with --list
scope_hook.py	PreToolUse hook: blocks out-of-scope Bash commands (exact + wildcard)
cvss_version_guard.py	Enforces H1 = CVSS 3.1, other platforms = CVSS 4.0
file_path_guard.py	Blocks hallucinated file paths in reports
file_safety.py	Shared safety checks for agent-written files
dedup_findings.py	Dedup + hacktivity cross-reference
global_brain.py	Cross-engagement knowledge (incremental hash-based sync)
response_tracker.py	Response learning + auto-boost paid techniques
scaffold.py	Workspace scaffolding with update mode
capture.py	Screenshots + video (WSL2)
cost.py	Token cost tracking + ROI
camofox_ctl.sh	Camoufox (stealth Firefox) lifecycle — Cloudflare/Akamai bypass
pentest-statusline.sh	CC statusline: findings, brain, context, cost

Rules Library (rules/)

Single source of truth for every agent — all hunters, validators, and report-writers read the relevant files at session start.

File	Lines	Purpose
hunting.md	360	31 hunting rules (Rule 0 harm check, Rule 8 sibling check, Rule 9 A→B signal, Rule 19 never-submit, Rule 24 mutation matrix, Rule 28 detection-token rotation, Rule 30 no cross-region inference, Rule 31 unauth state-change battery)
payloads.md	2,605	XSS (incl. Detection Mechanism Rotation Ladder) / SSRF / SQLi / IDOR / OAuth / upload / race / SSTI / deser / JWT / LFI / prototype pollution / NoSQLi / DeFi
techniques.md	389	Proven attack techniques extracted from real paid engagements
waf-bypass-protocol.md	166	WAF bypass iteration ladder for Akamai/Cloudflare/Imperva
vendor-status.md	127	Patched vendor vectors, framework fingerprints, cooldown tables
chain-table.md	192	Capability→next-bug chain table for /chain (9 capability rows + 4 documented deep chains)
never-submit.md	42	Never-submit list + conditionally-valid-with-chain table
mistakes.md	665	Top 10 most common mistakes — every agent reads this at session start

Key Features

• Writeup search MCP: Agents query prior art during hunting — bring your own FAISS/SQLite writeup index, or fall back to the shipped payload/technique library
• CC hooks: SubagentStop/Stop auto-log costs, statusline shows live $X.XX from token data
• PreToolUse scope hook: Bash commands are matched (exact + wildcard) against scope.yaml; out-of-scope targets are blocked before the tool call fires
• 7-Question Gate: Every finding validated — first NO = KILL
• Depth Engine: /autopilot enforces an anti-shallow protocol — no claim of "exhausted" until the exhaustion matrix is complete
• Stacked-encoding mandate: /hunt and /autopilot require multi-layer encoding in every payload attempt before declaring a surface clean
• CVSS policy guard: HackerOne findings use CVSS 3.1; every other platform uses CVSS 4.0 — enforced by cvss_version_guard.py
• Circuit breaker: 5× consecutive 403/429 → auto-backoff 60s
• Endpoint tracking: Brain records every endpoint tested per target
• Hard validation gates: /report and /submit refuse without /validate PASS
• Never-submit filter: Pipeline auto-kills informational findings
• Incremental sync: Global brain hash-based, skips unchanged files
• Feedback loop: /learn auto-boosts paid techniques globally
• Session journal: JSONL log for /resume continuity

Requirements

• Python 3.10+, uv (MCP servers launch via uv run --with mcp)
• Optional: uv pip install faiss-cpu sentence-transformers (for writeup semantic search)
• Security tools: nmap, httpx, subfinder, nuclei, ffuf, katana, sqlmap
• GraphQL hunter tools: graphql-path-enum — cargo install --git https://gitlab.com/dee-see/graphql-path-enum (auto-installed by setup-mcp.sh if cargo is present)
• Evidence: grim/scrot, wf-recorder/ffmpeg
• jq (for statusline)

License

For authorized security testing only. Follow responsible disclosure.