target-profiling

target-profiling is a Penetration testing & red team skill for AI agents, published by haibo3434358 in the ScareAISec repository on GitHub. Skillspace rates target-profiling D (61/100) and it passed the safety scan; the rating is based on static analysis only.

目标全景画像与攻击面优先级分析。当需要系统性整理目标资产、技术栈、认证体系、API 风格、权限/租户模型、业务高价值功能、WAF/CDN/中间件、移动端/小程序入口，并推断最该优先测试的漏洞类型时使用。适合在 recon-full 或 crawl 后生成结构化目标档案。

Grade
D
Quality
61 / 100
Safety
Passed
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, so go by its current files.

View source on GitHubhaibo3434358/ScareAISec

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • 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

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