ctf-web-methodology

ctf-web-methodology is a Penetration testing & red team skill for AI agents, published by wgpsec in the AboutSecurity repository on GitHub. Skillspace rates ctf-web-methodology F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

CTF Web 挑战的总体方法论。当面对 CTF 靶场、xbow benchmark、Web 安全挑战赛时使用。包含挑战类型快速识别、攻击策略选择决策树、常见出题模式、何时切换方向的判断标准。与 exploit/ 下的具体漏洞技能配合使用

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
1,734

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.

Our review

Architecture
88 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • accesses sensitive system files
  • 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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.