hunt-research-system-and-tradecraft
hunt-research-system-and-tradecraft is a Blue team & detection skill for AI agents, published by OTRF in the ThreatHunter-Playbook repository on GitHub. Skillspace rates hunt-research-system-and-tradecraft C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Research system internals and adversary tradecraft to ground a threat hunt in real system behavior and realistic abuse patterns. Use this skill at the start of hunt planning, when you are given a high-level hunt topic but lack a clear understanding of how the system normally operates or how adversaries are known to abuse it. This skill informs early hunt direction by producing candidate abuse patterns, key assumptions, and cited sources, and should be used before defining a concrete hunt hypothesis or selecting data sources.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 4,610
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General threat-hunt research methodology, reusable by any security team
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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