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.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
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.