iom-pentest
iom-pentest is a Penetration testing & red team skill for AI agents, published by chainreactors in the malice-network repository on GitHub. Skillspace rates iom-pentest D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Autonomous penetration testing through IoM C2 MCP tools. Covers the full engagement lifecycle: reconnaissance, privilege escalation, credential harvesting, lateral movement, and persistence. Operates in an OODA loop — each phase analyzes results before deciding the next action. Use this skill whenever the user wants to run automated pentest, red team assessment, privilege escalation analysis, post-exploitation, or any offensive operation through IoM — even if they just mention "pentest", "提权", "横向", "信息收集", "凭据", "持久化", or "自动化测试".
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 470
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.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- 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
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