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Security
Command

/intel

On-demand intelligence fetch for a target — CVEs, disclosed reports, new features. Wraps learn.py + hunt memory context. Usage: /intel target.com

From plugin
agentic-bug-hunter
5.8k42 skills9 agents42 commands3 hooks
$ npx -y skills add awarexone/agentic-bug-hunter --agent claude-code

Command definition

intel.md
description: On-demand intelligence fetch for a target — CVEs, disclosed reports, new features. Wraps learn.py + hunt memory context. Usage: /intel target.com

/intel

Fetch actionable intelligence for a target.

What This Does

1. Runs `learn.py` for CVEs and advisories matching the target's tech stack 2. Fetches HackerOne Hacktivity for the target (via HackerOne MCP if available) 3. Cross-references with hunt memory — flags untested CVEs and new endpoints 4. 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 |

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