Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/awarexone/agentic-bug-hunter/intelgit clone --depth 1 https://github.com/Awarexone/Agentic-Bug-HunterWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00440 |
| Opus 5 | $0.00000 | $0.00220 |
| Sonnet 5 | $0.00000 | $0.00088 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
intel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/intel
Fetch actionable intelligence for a target.
What This Does
- Runs
learn.pyfor CVEs and advisories matching the target's tech stack - Fetches HackerOne Hacktivity for the target (via HackerOne MCP if available)
- Cross-references with hunt memory — flags untested CVEs and new endpoints
- Outputs prioritized intel with hunt recommendations
Usage
/intel target.com
Output
INTEL: target.com
═══════════════════════════════════════
ALERTS:
[CRITICAL] CVE-2026-XXXX — Next.js middleware bypass (CVSS 9.1)
target.com runs Next.js 14.2.3 (vulnerable). Patch: 14.2.4.
→ You haven't tested this endpoint yet. Hunt candidate.
[HIGH] New feature detected: /api/v3/billing/invoices
Not in your tested_endpoints list. 3 new paths.
→ New = unreviewed. Priority hunt target.
[INFO] 2 new disclosed reports on HackerOne for target.com
→ Read for methodology insights before hunting.
MEMORY CONTEXT:
Last hunted: 2026-03-24 (2 days ago)
Tech stack: Next.js 14.2.3, GraphQL, PostgreSQL
Untested CVEs: 1 critical, 0 high
Data Sources
| Source | What | Auth required? |
|---|---|---|
learn.py — NVD |
CVEs matching tech stack | No |
learn.py — GitHub Advisory |
Security advisories | No |
learn.py — HackerOne Hacktivity |
Disclosed reports | No |
| HackerOne MCP (if connected) | Program stats, policy | No (public) |
| Hunt memory | Previously tested endpoints | Local files |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 55 lines · 0 tokens per session scan A d8dfa2a1ceaf
intel is a command published in the GitHub repository Awarexone/Agentic-Bug-Hunter (4,651 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 440 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
recon
Run full recon pipeline on a target — subdomain enum (Chaos API + subfinder), live host discovery (dnsx + httpx), URL crawl (katana + waybackurls + gau), gf pattern classification, nuclei scan. Outputs to recon/ / directory. Usage: /recon target.com.
hunt
Active vulnerability hunting. Two-track dispatcher — asks Red Team vs WAPT, hands off to hunt-dispatch skill and sibling commands. Usage: /hunt target.com | /hunt .target.com | /hunt targets.txt [--vuln-class X] [--source-code P] [--chrome].
token-scan
Meme coin and token security scan — checks for rug pull vectors (hidden mint, honeypot, fee manipulation, LP lock bypass, authority retention, bonding curve exploits, fake renounce, sandwich amplification). Manual 8-class grep audit (with an optional automated scanner if present). Usage: /token-scan [--chain solana].
autopilot
Run autonomous hunt loop on a target — scope check → recon → rank surface → hunt → validate → report with configurable checkpoints. Usage: /autopilot target.com [--paranoid|--normal|--yolo].
validate
Validate a finding — runs 7-Question Gate + 4-gate checklist. Kills weak findings before report writing. Prevents N/A submissions that hurt validity ratio. Usage: /validate.
triage
Quick 7-Question Gate triage on a finding before writing a report. Kills N/A submissions before they happen. Faster than /validate — for quick go/no-go decisions. Usage: /triage.