information-disclosure-methodology
information-disclosure-methodology is a Penetration testing & red team skill for AI agents, published by haibo3434358 in the ScareAISec repository on GitHub. Skillspace rates information-disclosure-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.
Web 应用敏感信息泄露检测与利用。当发现 .git/.svn 目录、备份文件路径(.bak/.zip/.tar.gz)、.env 配置文件、Swagger/OpenAPI 文档、debug 页面等信息泄露点时使用。也适用于发现源码泄露后的深入利用：git 历史审计（git log -p -S 搜索已删除的密码和 flag）、svn wc.db 文件列表提取、.DS_Store 目录枚举。优先于漏洞利用——信息泄露可直接提供凭据和攻击路径，往往比直接挖漏洞更快进入系统
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 55
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
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- mentions secrets in text
Not checked 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.