adversary-emulation
adversary-emulation is a Penetration testing & red team skill for AI agents, published by PurpleAILAB in the Decepticon repository on GitHub. Skillspace rates adversary-emulation 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.
Threat-informed adversary emulation — pick a real APT, load its profile, and reproduce its TTPs within RoE scope to test detection & response. Index of available actor profiles + the emulation methodology.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 4,718
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
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.