attack-surface-recon

attack-surface-recon is a Penetration testing & red team skill for AI agents, published by Ed1s0nZ in the CyberStrikeAI repository on GitHub. Skillspace rates attack-surface-recon F (51/100) and it passed the safety scan; the rating is based on static analysis only.

侦察/攻击面测绘:被动whois/amass/crt.sh/FOFA/Shodan,主动subfinder/httpx/naabu/katana/nuclei,DNS地域/CDN/Nginx catch-all/宝塔/UniApp指纹。开局第一动作,认知写入项目黑板。Use when starting recon, asset mapping, fingerprinting, or CDN/DNS bypass discovery.

Grade
F
Quality
51 / 100
Safety
Passed
GitHub stars
6,578

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubEd1s0nZ/CyberStrikeAI

Our review

Architecture
76 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Penetration testing & red team

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