Autonomous God-Mode Bug Hunter Skill
SkillSecurityAutonomous end-to-end security research and full-surface bug hunting engine. Executes non-stop reconnaissance, attack-surface discovery, parameter mining, multi-stage vulnerability verification, minimal-impact PoC generation, and structured reporting on authorized targets.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Autonomous God-Mode Bug Hunter Skill skill
What this skill tells your AI
The instructions your AI receives, as published by zyrexnn/cybermes in skills/autonomous-godmode-hunter/SKILL.md and read by ahel’s review.
1. Operational Directive & Scope Rule
- Explicit Operator Authorization: When target domains, URLs, or CIDRs are specified in
scope.yamlor conversation prompt, proceed with aggressive, exhaustive, and continuous technical validation. - Non-Destructive & Rate Controlled: Never perform DoS, volume saturation, or destructive data alterations. Always strive for Maximum Technical Validation with Minimum Unnecessary Impact.
- Zero False Positives: Never declare a vulnerability confirmed without reproducible HTTP request/response proofs, browser console logs, or execution evidence.
2. Autonomous Execution Pipeline
[ Target Defined in scope.yaml ]
│
┌──────────────┴──────────────┐
▼ ▼
[ Passive Recon ] [ Active Discovery ]
- Subfinder / Assetfinder - HTTPx Probe & Tech Detect
- Historical URL Mining (gau) - Katana SPA / JS Crawling
│ │
└──────────────┬──────────────┘
▼
[ Attack Surface Ranking & Fuzzing ]
- Content / Directory Fuzzing (ffuf / feroxbuster)
- Parameter Mining (burp-parameter-names)
- Client-side JS Secret & Endpoint Extraction
│
▼
[ Deep Vulnerability Hypothesis ]
- Auth & Session Handling (Dual-account matrix)
- IDOR / BOLA / Mass-Assignment Testing
- Injection Vectors (SQLi, SSTI, Command Injection)
- Client-side Flaws (DOM XSS, CORS, CSRF via Puppeteer MCP)
- SSRF & OOB Interaction Testing
│
▼
[ Controlled Exploit Validation ]
- Replay & Mutate Requests
- Isolate Root Cause Flaw
- Generate Minimal-Impact PoC Script (Python)
│
▼
[ Evidence Capture & Reporting ]
- Raw HTTP Request & Response Proofs
- Write CVSS v3.1 Structured Markdown Report to reports/
3. Autonomous Tooling Integration Guide
- Reconnaissance:
subfinder -d <target> -silent | httpx -silent -status-code -title -rate-limit 10 -t 5 - Crawling:
katana -u <url> -silent -depth 3 -rate-limit 10 -concurrency 3 - Fuzzing & Content Discovery:
ffuf -u <url>/FUZZ -w tools/wordlists/common.txt -rate 5 -t 5 -mc 200,301,302,403(fallback:katanacrawl +httpxprobe) - Vulnerability Scanning:
nuclei -u <url> -tags cve,auth-bypass -rate-limit 10 -c 5 -silent - XSS Analysis:
dalfox url <url> --silence(fallback:nucleixss templates or Puppeteer MCP) - SQLi Verification:
sqlmap -u "<url>?param=1" --batch --banner(fallback:nucleisqli templates or deterministic Python PoC) - Browser Automation: Use MCP tools (
puppeteer_navigate,puppeteer_screenshot,puppeteer_evaluate) for dynamic JavaScript and DOM verification.
4. Verification Checkpoint Matrix
| Vulnerability Type | Validation Standard | Evidence Requirement |
|---|---|---|
| IDOR / BOLA | Cross-tenant access between Account A & B | Both Request/Response pairs with leaked object |
| Auth Bypass | Accessing protected endpoint without valid credentials | Response payload showing privileged view |
| SQL Injection | DBMS version or deterministic differential response | Database banner or timing difference proof |
| XSS / DOM Flaw | Script execution context or DOM sink manipulation | Browser MCP console logs / DOM snapshot |
| SSRF | Server-side request callback or internal metadata fetch | Raw response headers and body |
5. Target-Scoped Output Hierarchy & Deliverables
Always create target-scoped directories before saving outputs (TARGET_SLUG e.g. example_com or 127_0_0_1_8888):
- Directory Setup:
mkdir -p reports/<TARGET_SLUG>/findings reports/<TARGET_SLUG>/pocs reports/<TARGET_SLUG>/evidence - Finding Report (Confirmed
low,medium,high,criticalonly):reports/<TARGET_SLUG>/findings/<severity>_<vuln_name>.md(clean snake_case, no square brackets) - Informational & Recon Findings: Group into
reports/<TARGET_SLUG>/evidence/recon_notes.md(Do NOT clutterfindings/with INFO files) - Standalone PoC:
reports/<TARGET_SLUG>/pocs/poc_<vuln_name>.py - Visual / HTTP Evidence:
reports/<TARGET_SLUG>/evidence/<filename> - Consolidated Summary: Run
aggregate_reports <TARGET_SLUG>to index findings intoreports/<TARGET_SLUG>/SUMMARY.md.
Signals
- GitHub stars
- 790
- Forks
- 138
- Last commit
- Sep 2026
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autonomous-godmode-hunter- Source
- github.com/zyrexnn/cybermes