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.

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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