Atlas / Skills / h-mmer / Hunt

HuntCAUTION

skills/h-mmer/hunt

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.

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
—
Stars
1,004
01

Overview

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.

Read from source at commit be1723764604OBSERVED · 2026-10-13
02

Install

Commands as the repository documents them. They are shown, not run.

uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py classes \
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py budget \
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py exhaustion-gate \
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py record-outcome \
uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record <target> <status> "<technique>" "<details>"
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py record-outcome --vuln-class "<class>" --result <confirmed|killed|d
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: hunt
description: "Active vulnerability hunting on a target. Loads scope, reads brain, detects tech stack, runs targeted tests with concrete payloads. Usage: /hunt target.com [--vuln-class idor|xss|ssrf|sqli|ssti|oauth|rce|race|graphql|upload|business-logic|llm-ai]"
disable-model-invocation: false
---
Active hunting on: $ARGUMENTS

ALL agents dispatched by this command MUST use `model: "inherit"` in the Agent tool call.

Read `rules/hunting.md` AND `rules/mistakes.md` FIRST. Both are always active.
- `rules/hunting.md` — 29 hunting rules (Rule 0 → Rule 28)
- `rules/mistakes.md` — "Top 10 Most Common Mistakes" + category rules from real engagements. Agents repeat these without the reminder (hallucinated file paths, curl vs browser, theoretical impact, CVSS mismatch, etc.).
- `rules/waf-bypass-protocol.md` — 7-level bypass ladder. If any probe returns a WAF block (403/429/challenge page), this file is mandatory reading before concluding dead end. "WAF blocks the payload" is NEVER a valid stop reason by itself — that's exactly the scenario this file exists for.
- `rules/payloads.md` — ready-to-use payloads organized by vuln class, with bypass variants for common WAFs (CF, Akamai, AWS WAF, F5, Imperva).

## Phase 1: Read Before Touching (mandatory)

1. Read scope.yaml — confirm target is in scope
2. Read brain: `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief <target>` — what's tested, what's exhausted
3. Read hacktivity.md — what has been reported and paid for this program
4. `uv run python3 $CLAUDE_PROJECT_DIR/tools/scope_check.py <target>` — hard validation

## Phase 1.5: Policy Enforcement (MANDATORY)

Read `policy.md` and extract ALL actionable constraints into a policy preamble.
This preamble MUST be included in every agent dispatch from this command.

```
POLICY CONSTRAINTS (VIOLATION = DISQUALIFICATION/BAN):
SCOPE AND POLICY MUST BE OBEYED AT ALL TIMES.
[constraints extracted from policy.md]
```

Failure to include policy constraints in agent dispatches may result in
disqualification from the program or account ban.

## Phase 2: Tech Stack Detection

```bash
TARGET="<parsed from arguments>"
curl -sI https://$TARGET | grep -iE "server|x-powered-by|x-aspnet|x-runtime|x-generator"
```

Map stack → primary bug class:
- Ruby on Rails → mass assignment, IDOR
- Django → IDOR (ModelViewSet), SSTI
- Flask → SSTI, SSRF
- Express/Node → prototype pollution, path traversal
- Spring Boot → Actuator endpoints, SSTI
- Next.js → SSRF via Server Actions, open redirect
- GraphQL → introspection, IDOR via node(), auth bypass on mutations

## Phase 2.5: Auto-Select Vuln Class (autonomy-first)

If `--vuln-class` was NOT specified, generate ranked class hypotheses:

```bash
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py classes \
  --tech-stack "<detected stack + recon hints>" \
  --target <target> \
  --limit 8 \
  --output CLASS_HYPOTHESES.md
```

Use the top-ranked class first, then continue in ranked order. This ranking
combines stack signals + hacktivity ROI + brain exhaustion penalties.

## Phase 2.9: Writeup Intelligence (MANDATORY — do this BEFORE Phase 3)

Before testing ANY vuln class, search for prior art using the writeup-search MCP:

```
search_techniques "<vuln class>" — get known bypass techniques
search_writeups "<target tech stack> <vuln class>" — get relevant writeups
search_payloads "<vuln class>" — get ready-to-use payloads
```

If the writeup-search MCP is not available, read `rules/payloads.md` as fallback.

This is NOT optional — prior art saves hours and reveals techniques you wouldn't think of.
Skip this step = guaranteed duplicate or missed opportunity.

Include the writeup intelligence results in every hunter agent prompt you dispatch.
If a hunter signals a different vuln class mid-hunt:
1. Call `search_techniques` + `search_payloads` for the new class
2. Dispatch the appropriate specialized hunter with the fresh intelligence

## Phase 2.95: Autonomous Budget + Exhaustion Gates (MANDATORY)

Before dispatching classes, allocate budget:

```bash
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py budget \
  --tech-stack "<detected stack + recon hints>" \
  --target <target> \
  --total-minutes 120 \
  --total-tokens 30000 \
  --output CLASS_BUDGET.md
```

After any class is "exhausted", enforce quality:

```bash
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py exhaustion-gate \
  --attempts <N> \
  --combos-tested <N> \
  --combos-remaining <N> \
  --encoding-steps <N> \
  --differential-evidence
```

If gate fails, re-dispatch class with stricter matrix requirements.

After each class run, update telemetry:

```bash
uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py record-outcome \
  --vuln-class <class> \
  --result <confirmed|killed|downgraded|partial> \
  --attempts <N> \
  --elapsed-minutes <N>
```

### Chain-anchor preamble (MANDATORY for feeder classes)

For these vuln classes — **standalone is on the never-submit list or sells low** — extract the per-class anchors from `rules/chain-table.md` "Per-Class Chain Anchors" and prepend them to the hunter dispatch prompt:

```
open-redirect, cors-hunter, info-disclosure, csrf-hunter, subdomain-takeover,
xxe-hunter, file-upload, race-condition, business-logic, privilege-escalation
```

Inject this preamble verbatim into the hunter's task:

```
CHAIN-ANCHOR DIRECTIVE — this finding class sells low/N-A standalone.

After confirming the bug, you MUST probe the following chain anchors before
declaring the finding complete (see rules/chain-table.md "Per-Class Chain
Anchors" section for full list):

[paste the 3-5 anchors for the specific class from chain-table.md]

For each anchor:
- If the anchor returns signal → label finding as CHAIN-CANDIDATE in brain
  with `--from-capability "<this finding's capability>"` and STOP. Do not
  write a single-bug report. The orchestrator will dispatch chain-builder.
- If all anchors fail → finding is informational. Apply rules/never-submit.md
  before an
04

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (3)

HIGHNetwork egress · net.metadata_ip · CWE-200, CWE-319
SKILL.md:244
curl "https://$TARGET/api/image?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/"
Why it matters. cloud metadata endpoint: the classic SSRF credential grab
MEDIUMNetwork egress · net.raw_ip · CWE-200, CWE-319
SKILL.md:244
curl "https://$TARGET/api/image?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/"
LOWInventory / provenance · inv.no_license · CWE-1104
Why it matters. no LICENSE file and no repo licence
Fix. add a licence

Gates applied: no_behavioural_pass, no_license.

Audited 2026-10-13 · audit v0.4.1 · source sha be1723764604full audit observations/trust-audit/skill/h-mmer__hunt.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-13be1723764604CAUTIONB89first audit
06

Questions

What does the Hunt skill do?

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.

Is Hunt safe to install?

With care. The audit graded it B (89/100) and found 3 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Hunt access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (be1723764604), read on 2026-10-13. The repository is watched, and a new audit runs when it changes — this is the first audit.

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