threat-actor-profiling
threat-actor-profiling is a Blue team & detection skill for AI agents, published by tsale in the awesome-dfir-skills repository on GitHub. Skillspace rates threat-actor-profiling 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.
Build structured threat actor profiles using the 5W1H framework and the Diamond Model. Use this skill whenever the user wants to profile a threat actor, create a TA report, analyze an APT group, build an adversary profile, assess threat actor capability, map TTPs to MITRE ATT&CK for a specific group, or produce any intelligence deliverable about a threat actor. Also trigger when the user mentions threat actor names (e.g. APT29, Lazarus, FIN7), asks about victimology, modus operandi, or wants to structure threat intelligence around an adversary. This skill applies to both internal tracking profiles and incident-driven analytical deliverables.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 321
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- 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
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