Files
t3mp3st/README.md
T
Lyubomir BozhinovandJoseph Magly 151d3555c6 feat(ingest): multi-language white-box ingest (web-tree-sitter) (#75)
* chore(ingest): pin web-tree-sitter@0.25.10 + tree-sitter-wasms@0.1.13; add multilang-ingest design docs

* feat(ingest): multi-language grammar registry (web-tree-sitter, 8 langs, fail-open); 100% cov

* feat(ingest): language-aware param-name splitter (py/go/ts/java/c); 100% cov

* feat(ingest): tree-sitter CodeBlock extractor with wall-clock parse budget + fail-open

* feat(ingest): cross-lang sinks + multilang config + wire tree-sitter into ingestRepository (sync)

* feat(ingest): repoint white-box production callers to multilang config + prod regression test

* server-init-wiring: load multi-language grammars once at bootstrap

initGrammars() runs after LLM init, before app.listen. Internally
fail-open (never rejects): on failure the grammar registry stays empty
and ingest falls back to the Python regex parser.

* adversarial-tests: hostile-input hardening for untrusted target source

Malformed per-language source, wrong-language content, binary/non-UTF8,
empty, unicode identifiers, 20k-func large file (wall-clock budget),
deeply nested input, and a symlink-loop crawl — all must fail-open, never
throw or spin. Drives parseFileMultiLang + ingestRepository/crawl.

* readme-status + docs: flip white-box status to multi-language ingest

README source-code rows now state web-tree-sitter multi-language ingest
(fail-open to Python regex). whitebox.ts scope caveat + no-source error
message updated off the stale Python-only wording.

* coverage-setup: enforce 100% coverage gate on the three new ingest files

vitest.config.ts adds a coverage-only block (v8, perFile thresholds=100)
scoped to ts-grammars.ts, param-split.ts, ts-parse.ts. Test discovery and
env stay on defaults. Edited files gate on new-branch coverage via the
regression suites; the server.ts initGrammars bootstrap line is the
documented smoke-covered carve-out.

* review: fix WASM heap leak, language-scoped fail-open, sink recall/precision

Adversarial security + strict code review (two independent subagents)
returned one blocking bug and several correctness findings; remediated:

BLOCKING #1 — native WASM memory leak: web-tree-sitter Tree/Parser objects
were never .delete()'d. Both reviewers reproduced a process-global wedge:
after ~7 large parses the shared WASM heap exhausts, every subsequent parse
aborts (caught by fail-open), and non-Python ingest silently returns []
forever. Fix: free the tree in a finally; delete the parser in resetParser.
Regression test parses ~8MB through the real shared parser 12x.

regex, which mis-parses brace/class syntax into corrupt blocks (wrong line
spans, lost methods). Now non-.py fail-open returns [] (honest absence); the
Python regex only ever runs on .py. Isolated ts-parse-fallback test.

http(s).request, axios(config), C exec-family); negative lookbehind stops
bare system(/popen(/fetch( from matching Python receivers (os.system etc.
still matched, corpus rankings unchanged). Recall+precision tests added.

operator sees non-Python degradation.

(one-line call-graph edges, no decorators, C++ member methods).

* review round 2: fix sink-regex regressions, real timeout test, deterministic leak guard

Third review round (correctness + security re-attack + test-quality) against
the round-1 fixes surfaced issues in the fixes themselves; remediated:

- Sink-regex regressions I introduced: (1) my fetch lookbehind dropped
  window.fetch/this.fetch (top JS SSRF idiom) — reverted to \bfetch\(;
  (2) bare .Get/.Post/.Do flagged db.Get/cache.Get/queue.Do as SSRF —
  receiver-qualified to [Cc]lient. Recall+precision tests cover both;
  regex is ReDoS-free (timed).
- Placebo leak test: the 12x function-dense loop did NOT wedge the parser
  on machines with heap headroom (proven: passed with tree.delete removed).
  Replaced with a deterministic vi.spyOn(Tree.prototype,'delete') assertion,
  verified RED without the fix.
- Real (non-mocked) parse-timeout test: parseFileMultiLang gains an injectable
  budgetMs; a 0ms budget drives the real progressCallback cancellation to [].
- runWhiteboxAnalysis swap now has coverage (spy on orchestrator.run) so the
  2nd production caller can't silently revert to the Python-only config.
- Un-vacuoused weak tests: unicode now asserts the extracted block; nested/
  wrong-language wrapped in invariants() + timing bounds.
- CI now runs npm run test:coverage (the 100% gate was defined but unenforced).
- Security: documented maxFileBytes as the control bounding a single parse's
  peak WASM memory below the 2GB heap-abort ceiling.
- Stale 'fail-open to Python regex' docs fixed (ts-parse, whitebox, server,
  adversarial); circular-import note added; temp-dir cleanup; honest coverage
  wording in spec + config.

* docs(ingest): align fallback-contract text with the shipped language-scoped fail-open

Review feedback (#75, @jmagly): the design docs + one ts-grammars comment
still described the pre-implementation 'fall back to the Python regex'
model for non-Python files. The shipped contract is language-scoped: .py
uses parseFile; any non-.py file with a missing/unsupported/failed grammar
or a parse timeout returns [] (never the Python regex, which would mis-parse
brace/class syntax into corrupt blocks). Updated every stale reference in
multilang-ingest-spec.md, multilang-ingest-plan.md, and ts-grammars.ts so
the docs match the security boundary. Docs/comment only — no code change.

* fix(test): make the ReDoS wall-clock guard robust under coverage instrumentation

Review feedback (#75, @jmagly): the CI step this PR adds (npm run
test:coverage = vitest run --coverage) runs the full suite under V8
coverage, and that overhead pushes the pathological-brace DoS timing guard
in local-agent-tool-calling.test.ts:69 over its <300ms bound (320 < 300
fails on CI). Raise the bound to 1000ms — still 2x below the ~2100ms
quadratic-ReDoS regression it guards against, so it fails hard if the
regression returns, but no longer false-fails under coverage/slow CI.

Chose the reviewer's option (a) (robust bound) over scoping test:coverage,
so the gate stays a simple full-suite run and no test-file enumeration can
rot. Verified: npm run test:coverage is green and the 3 new files stay at
100%.

* fix(ingest): cover pointer-returning C functions

---------

Co-authored-by: Joseph Magly <1159087+jmagly@users.noreply.github.com>
2026-07-20 11:41:21 -04:00

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🌩️ T3MP3ST 🌩️

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A multi-agent offensive-security framework, built to turn the AI coding agent you already run into a zero-day hunter.

scores: re-derivable   verify-claims 24/24   PRs welcome   License: AGPL-3.0

Your AI coding agent is already a hacker — T3MP3ST hands it an arsenal.

Point it at an authorized target and the kill chain runs itself: recon → exploit → report, from a browser War Room or the CLI, driven by the agent you're already signed into — Claude Code, Codex, Hermes — or a model you run fully offline (Ollama, LM Studio, vLLM). No new API keys, no cloud tenant, no second bill. Your agent is the brain; T3MP3ST is the war machine bolted around it. Self-hosted storm. Keyless warfare. ⚡

And it won't ask you to take its word for it. On XBOW's own 104-challenge suite it scores 90.1% pass@1 — above XBOW's self-reported 85% — alongside hint-free CTF solves and a cold hunt on real, post-cutoff CVEs the model had never seen. Every number in this README recomputes from committed data with one command (npm run verify-claims). Loud about the mission, honest about the build — the status table says exactly what's live, what's scaffolding, and what's still roadmap; full receipts in Benchmarks.

Three things set it apart:

  1. Reproducible. Every number in this README recomputes from committed data — npm run verify-claims re-derives all of them, 24/24 green. A claim that can't be reproduced doesn't ship. No trust-me numbers, ever.
  2. Keyless. The AI coding agent already on your machine is the backbone. No API keys, no second bill, no gatekeeper.
  3. Honest about scope. The status table marks exactly what's stable, experimental, or roadmap — because red-teaming shouldn't be a priesthood, and it damn sure shouldn't run on vibes.

Jump to → Quick start · Updating · What it hunts · What ships today · Benchmarks · Architecture · Docs

⚠️ Authorized use only

T3MP3ST is an offensive security tool, built for authorized testing, research, and education. Point it only at systems you own or have explicit, written permission to test. Unauthorized access to computers, networks, or data is illegal in most jurisdictions — you alone are responsible for how you use this software and for staying inside the law and your rules of engagement. Bring the storm to your targets, not someone else's.

T3MP3ST is provided as-is under the AGPL-3.0 license, with no warranty and no liability for any damage, loss, or misuse. The authors do not endorse, support, or condone unauthorized activity. Get permission. Stay in scope. Don't be a menace. 🫡

Why it exists

Offensive security sits behind years of practice and expensive tooling. The bet behind T3MP3ST is that a coordinated agent swarm puts real bug-hunting in reach of people who never got the invite, across web apps, CTFs, smart contracts, source code, and embedded/robotics OSS. That is an ambitious bet, and the sections below are careful to separate what already works from what is still a bet.

What it hunts

Domain What it does Status
🕸️ Web apps Black-box, external-attacker recon → exploit (XBEN suite) ✅ Stable
🚩 CTF Hint-free, sandbox-jailed solves (Cybench) ✅ Stable
🤖 Robotics / OT / embedded Coordinated-disclosure pipeline for OSS vuln hunting (OSV + live-PoC + refuter) ✅ Pipeline stable
📂 Source code White-box repo analysis with blind master-builder decomposition ✅ Multi-language ingest (web-tree-sitter)
💰 Smart contracts Damn Vulnerable DeFi ⚠️ reproduction, not novel discovery
☁️ Cloud (IaC) Misconfig-detection benchmark (cloud:bench) + opt-in cloud arsenal (aws/az/gcloud + scoutsuite/cloudfox/pmapper; pacu gated) 🚧 IaC-misconfig scaffolding — live-cloud exploitation not yet benchmarked
📱 Mobile Built-in static analyzer (manifest misconfig + secret/cleartext detection, mobile:bench) + opt-in arsenal (mobsfscan/objection/drozer; frida gated) 🚧 static-detection scaffolding — dynamic exploitation not benchmarked
🔩 Binary / RE Decompiled-output sink detector (unsafe-copy / format-string / cmd-injection / int-overflow, binary:bench) + opt-in arsenal (ghidra/radare2/objdump/checksec/strings; gdb gated) 🚧 static sink-detection scaffolding — solving/pwn not benchmarked

Quick start

Fastest path to a running War Room (keyless, ~2 min to set up; mission time depends on the target):

npm install
npm run server        # War Room → http://127.0.0.1:3333/ui/

In the War Room, open Settings and connect a local agent (Claude Code / Codex / Hermes). Then describe a target to Op Admiral in plain English and launch. The agent you connected is the brain. No key required.

Prefer to bring a key? Set one and skip the connect step:

export OPENROUTER_API_KEY=...     # or VENICE_API_KEY / ANTHROPIC_API_KEY / OPENAI_API_KEY
export XAI_API_KEY=...            # Grok Build (grok-build-0.1) — xAI's coding model, native tool-calling

Slow local agents can be given more room with T3MP3ST_LOCAL_AGENT_TIMEOUT_MS for each CLI call, T3MP3ST_TASK_TIMEOUT_MS for mission tasks, and T3MP3ST_GENERAL_TIMEOUT_MS for planning requests. Values are milliseconds.

Or run it fully offline on your own model — no key, no cloud. Defaults to Ollama; point it at any OpenAI-compatible server (LM Studio, vLLM, llama.cpp):

ollama serve && ollama pull llama3                          # or an OpenAI-compatible server
export TEMPEST_LOCAL_BASE_URL=http://localhost:11434/api    # LM Studio: http://localhost:1234/v1
export TEMPEST_LOCAL_MODEL=llama3
npm run build                                               # only needed from a git clone
npx tempest                                                 # → "Change default provider" → local

Tool-calling works on any local model (it's driven over text), so the Arsenal runs even on models without native function-calling.

Check the numbers for yourself:

npm run verify-claims             # re-derives every headline from committed JSON in bench/

Library/SDK usage, the full HTTP API, and MCP setup live in docs/.

Docker

Run T3MP3ST API server in a container (localhost only, not exposed externally):

cp .env.example .env       # configure API keys
docker compose up -d       # API → http://localhost:3333
docker compose logs -f     # view logs

Security Note: Container binds to 127.0.0.1:3333 - accessible only from localhost, not exposed to network.

Test the API:

curl http://localhost:3333/api/health
curl http://localhost:3333/api/bounty/platforms

Execute commands inside the container:

docker compose exec app npm run verify-claims
docker compose exec app npm run cve:bench

Full deployment guide: docs/DOCKER.md.

Updating from upstream

If you installed from a release tarball or copied the tree instead of tracking git pull, use the built-in updater to sync with github.com/elder-plinius/T3MP3ST without losing local secrets or bench output. It shows a numbered plan, asks y/N before changing anything, then runs npm install.

npm run update          # interactive sync from upstream main
npm run update:dry      # preview only — no git or npm changes
npm run update:hard     # hard reset to upstream/main (still restores protected paths)

Works on Windows (PowerShell), macOS, Linux, and WSL. Requires git and npm on your PATH.

Safety modes

The updater is destructive only when explicitly requested:

Command What it does Local changes
npm run update Default interactive sync git merge upstream/main; protected paths backed up and restored
npm run update:dry Read-only preview No git init, fetch, merge, reset, or npm install; safe on tarball installs
npm run update:hard Opt-in hard reset git reset --hard upstream/main; protected paths still restored

All non-dry-run modes ask y/N before changing anything. Pass --force only in trusted automation. On the first-time path (no commits yet), the updater replaces the working tree with the upstream snapshot, but protected paths are backed up first and restored afterward.

Protected paths (inside the repo)

Before replacing files, the updater backs up anything on disk that matches scripts/update-protected.txt, then restores it after sync. Only paths that exist locally are affected — if you never created them, nothing happens.

Path Why it's protected
.env, .env.* API keys and local env overrides. !.env.example is an exception — the template is not protected so upstream can update it.
.keys.local One-off key paste file loaded by bench scripts (e.g. VENICE_API_KEY) without touching .env.
.keys.bounty.json HackerOne / Bugcrowd / similar platform credentials.
bench/cybench/corpus-stage/ Large cloned Cybench corpus (not redistributed; expensive to re-download).
bench/cybench/service-stage/, bench/cybench/challenges/ Per-run Cybench Docker staging and challenge trees (regenerable, but slow to rebuild).
bench/xbow/stage/, bench/xbow/challenges/ XBOW/XBEN challenge staging (large third-party trees).
bench/wild-hunt/ Cold-hunt findings, PoCs, disclosure drafts, and campaign results — pre-coordination vuln material.
bench/decomposition-results/ White-box decomposition run JSON (may contain unreported analysis).
bench/refusal-frontier/ Refusal-boundary probe artifacts (raw model responses).
bench/nyu/ Staged NYU CTF content from nyu-prep.mjs.
docs/disclosures/ Generated vendor disclosure packages (disclosure-gen output).
reports/ Engagement and hunt reports (persistent output; same tree as Docker volume mounts in deployment setups).
evidence/ PoCs, screenshots, and other finding evidence kept across updates.

Add your own patterns in scripts/update-protected.local.txt (optional local overlay; same glob syntax as the main manifest).

Never touched (outside the repo)

These live outside the project tree — an update never reads or writes them:

  • %APPDATA%\t3mp3st-nodejs\Config\config.json (or the macOS/Linux conf store path) — saved by npm run setup
  • War Room browser localStorage on the War Room origin
  • Local agent auth (~/.codex, %LOCALAPPDATA%\hermes, etc.)

What ships today

The framework is an 8-operator kill chain, and this table won't blow smoke about it. Recon is a live, tool-backed engine — and the teeth are already real: 90.1% pass@1 on XBEN, 8/10 held-out post-cutoff CVEs pinned to exact file/line/CWE, and a coordinated-disclosure pipeline that's live enough to have drafts held for vendor coordination right now. What's not proven is the swarm. Each downstream operator — Exploiter, Infiltrator, Exfiltrator, Ghost — runs the same real, tool-backed ReAct loop as recon (real exploit tools, not stubs), but the headline numbers came from a single agent, not the coordinated 8-operator cell, and end-to-end swarm exploitation is unbenchmarked and still unreliable. The engine is real; the swarm is the part still earning its stripes. Loud where we've earned it, blunt about the rest.

Component Status Notes
Re-derivable measurement (verify-claims) ✅ Stable every headline recomputes from committed artifacts
Recon engine ✅ Stable drives nmap / DNS / HTTP / fingerprinting; every finding traces to real tool output
Mission engine + War Room + Op Admiral ✅ Stable keyless through a connected local agent
Arsenal, MCP server, HTTP API ✅ Stable 35 built-in tools by default; 108 with the opt-in T3MP3ST_FULL_ARSENAL (+73 adapters, with dangerous/catalog-only drivers — metasploit, hydra, pacu, frida — behind narrow approved paths rather than generic execution) — both counts re-derive via verify-claims. security_recon over MCP
Egress-scope containment ✅ Stable (on by default) once a mission target is set, built-in networked tools refuse off-scope public hosts — not the target/subdomains, not loopback/private (SCOPE DENIED) — a tightened default, not a bare tool runner
Coordinated-disclosure pipeline ✅ Stable OSV novelty + live PoC + refuter panel + CVSS; drafts only, a human sends
White-box source analysis ⚠️ Experimental Multi-language ingest via web-tree-sitter (Python/JS/TS/Go/Java/C/C++); Python retains its regex parser, while other languages fail open to no extracted blocks; multi-model decomposition costs more tokens, not fewer
DeFi (Damn Vulnerable DeFi) ⚠️ Experimental reproduces known exploit classes; not novel discovery
Exploiter / Infiltrator / Exfiltrator / Ghost ⚠️ Experimental run the real tool-backed ReAct loop (same engine as recon); unproven as a coordinated swarm — single-agent is the benchmarked path, live swarm exploitation still unreliable
Advanced modules (cloud, persistence, swarm, cognition) 🚧 Planned interface-only in src/stubs/
Self-improvement loop 🧪 Research records lessons + proposals today; feeding them back into planning is roadmap

Full feature-by-feature breakdown: FEATURES.md.

Coverage by domain

Where the storm reaches today — and where it's headed. Same discipline as everything else: a domain is ✅ only when there's a receipt behind it.

Domain What it covers Status
🕸️ Web apps, APIs, auth flows, OWASP Top 10 ✅ Core — XBEN 90.1% pass@1
📂 Code white-box source audits, SAST-style vuln hunting ✅ Proven (hunt result) — held-out CVE-Zero: single-agent 8/10 exact file/line/CWE, 10/10 found (7 languages); the repo-ingest engine itself is still ⚠️ experimental
🚩 CTF wargames, practice ranges, challenges ✅ Proven — Cybench 23/40 hint-free
🔌 Network / Infra recon, service/stack fingerprinting; lateral + privesc ✅ recon (live nmap/DNS/HTTP engine) · ⚠️ lateral/privesc experimental
🤖 Embedded / IoT / OT firmware, robotics, ICS/SCADA OSS ✅ CVE pipeline live — coordinated-disclosure drafts held for vendors
📦 Supply chain dependency audits, install-without-confirmation ⚠️ Real — dedicated class; hit a CWE-829 on the held-out set
💰 Blockchain smart contracts, DeFi, Solidity ⚠️ Reproduction only — Damn Vulnerable DeFi, not novel discovery
☁️ Cloud AWS/GCP/Azure misconfig, IAM, serverless 🚧 In development
📱 Mobile Android/iOS app security 🚧 In development
🏢 Identity / AD Kerberos, pass-the-hash, AD attacks 🚧 In development
🔐 Binary / RE overflows, ROP, exploit dev 🚧 In development — needs specialized tooling

The class/squad architecture means new domains compose rather than fork — each is a loadout (specialist classes + arsenal + target adapter + a benchmark). 🚧 domains ship dark until they have a number.

Benchmarks

Headline results. Each recomputes from the committed JSON with npm run verify-claims; full methodology and caveats are in the linked docs.

Suite Result Context
XBEN — XBOW's 104-challenge suite, black-box pass@1 mean 90.1% (Wilson-95 86.2–92.9), floor 91/104 · gpt-5.5 XBOW self-reports 85% on the same suite; ours re-derives the graded verdict from committed artifacts (raw transcripts stripped for privacy)
XBEN — white-box (reported separately) pass@1 98.7%, best-ball 104/104 · gpt-5.5 never blended with the black-box number
Cybench — 40-task academic bench, Opus 4.8, no hints 23/40 (58%) hint-free, single-run pass@1 (verify-claims-enforced) not the raw-score record (Anthropic: 76.5% pass@10); every flag graded against the committed oracle
CVE-Zero — 10 real post-cutoff (2026) CVEs, held-out, 7 languages single-agent 8/10 exact file/line/CWE (verified all-exact, stable) · 10/10 found (full pack) memorization- & fitting-proof: post-cutoff, and the hardened prompts were never tuned on these; verify-claims recomputes it. n=10, directional; the swarm's edge here is recall, not a coordination-beats-solo proof

How to read these:

  • Every solved flag is graded against a committed ground-truth oracle — not a self-report — and verify-claims recomputes the pass/fail. Raw per-step transcripts are stripped for operator privacy, so you re-check the graded verdict, not the raw tool output. Zero fabricated, enforced by an anti-fitting guard that runs on every push.
  • Black-box (source withheld) and white-box (source staged) are reported separately and never blended.
  • These ran a single-agent ReAct loop, not the 8-operator swarm. The swarm is framework architecture; it is not what scored these numbers.
  • Results are system-vs-system: this harness driving a strong current model, not an isolated-harness claim.

The number isn't the flex — the receipt is. A keyless, open-source harness that hands you the re-run instead of asking you to trust it: clone it, run npm run verify-claims, and every verdict above recomputes from its committed oracle in front of you.

Deeper reading: WALL_FORENSICS (per-challenge misses), CYBENCH, INTEGRITY_LEDGER (contamination audit and every retraction), OBSIDIVM (our own live web range).

Documentation

Doc Contents
FEATURES.md feature-by-feature status ([x] shipped / [~] partial / [ ] planned)
SCOPE_AND_AUTHORIZATION authority model, scope receipts, evidence and retest rules
VERIFIED_PROVENANCE how findings become tool-proven instead of model-asserted
CONTRIBUTION_RECEIPTS PR receipt template for scope, run mode, model/harness labels, redaction, and verification
TEAM_PREVIEW first-run path and review script
INSTALL_MATRIX macOS / Linux readiness table
ARSENAL_ACTIVATION_PLAN optional external-tool setup
PULL_REQUEST_DELIVERY contributor and maintainer checklist for scoped, reviewable PRs
CYBENCH · WALL_FORENSICS · INTEGRITY_LEDGER · COGNITIVE_ARCHITECTURE benchmark methodology
RELEASE_CHECKLIST the gates a release must pass

Architecture

┌─────────────────────────────────────────────────────────────────┐
│                        T3MP3ST COMMAND                          │
├─────────────────────────────────────────────────────────────────┤
│   MISSION CONTROL  ◄──  TARGET MODEL  ──►  ARSENAL (TOOLS)       │
│                          ▲                                       │
│   AGENT CELL:  RECON · SCANNER · EXPLOITER · INFILTRATOR ·       │
│                EXFILTRATOR · GHOST · COORDINATOR · ANALYST       │
│                          ▲                                       │
│   EVIDENCE VAULT  ·  CREDENTIAL STORE  ·  FINDINGS LEDGER        │
│                          ▲                                       │
│   OPSEC LAYER  ·  COMMS CHANNEL  ·  LLM BACKBONE                 │
└─────────────────────────────────────────────────────────────────┘

Operators map to MITRE ATT&CK and Cyber Kill Chain phases (recon is live; later phases are scaffolded):

Operator Phase MITRE Function
Recon Reconnaissance TA0043 OSINT, network discovery, asset enumeration
Scanner Discovery TA0007 vulnerability scanning, service fingerprinting
Exploiter Initial Access TA0001 exploitation, payload delivery
Infiltrator Lateral Movement TA0008 post-exploitation, privilege escalation
Exfiltrator Collection / Exfil TA0009/10 data extraction, credential harvesting
Ghost Persistence TA0003 persistence, stealth, cleanup
Coordinator Command & Control TA0011 mission control, orchestration
Analyst Analysis — pattern analysis, reporting

Providers: OpenRouter, Venice, Anthropic, OpenAI, or a keyless local agent (Claude Code / Codex / Hermes). Set OPENROUTER_API_KEY / VENICE_API_KEY / ANTHROPIC_API_KEY, or connect an agent in Settings.

Integrations: node dist/mcp-server.js exposes security_recon to MCP-aware agents. npm run server starts the HTTP API (POST /api/mission/start, GET /api/mission/status, and more). Full reference in docs/.

Contributing — join the swarm

Red-teaming shouldn't be a priesthood. Bring an adapter, a prompt pack, a runbook, a new arsenal tool, or a bug report.

One rule, non-negotiable: everything here is for authorized testing only. Owned, scoped, or consenting targets. Build for defenders, or don't build it here.

  1. Fork it, branch it.
  2. Open a PR with tests. If you touch a headline number, npm run verify-claims has to stay green.

Release process and gates: RELEASE_CHECKLIST.

License

AGPL-3.0. See LICENSE.


Fortes fortuna iuvat — fortune favors the bold.

⊰•-•✧ LOVE PLINY ✧•-•⊱ 🌩️