entry-point-mapping
entry-point-mapping is a Penetration testing & red team skill for AI agents, published by haibo3434358 in the ScareAISec repository on GitHub. Skillspace rates entry-point-mapping 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.
入口点 → 漏洞类型 → SKILL 映射表。Agent 在 Phase 2 测试功能点时，根据此表判断该入口点最可能存在什么漏洞，精准加载对应 SKILL。这是 Agent 渗透决策的核心路由表 — 定义'至少测什么'，但不限制你的推理。
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 55
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 83 / 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
- accesses sensitive system files
- 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.