forensics
forensics is a Root-cause investigation skill for AI agents, published by jonathaneoliver in the infinite-streaming repository on GitHub. Skillspace rates forensics D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-event causal analysis — "why does X keep happening", "compare A vs B", "find the pattern across these failures", "is this related to a change". Gathers events/network/samples + relevant past findings + applicable standards, then dispatches to the `playback-forensics-expert` subagent for hypothesis generation. Invoke when one event isn't enough (use `investigate` for single events) and the question is "why" not "what". Returns a tagged hypothesis plus a suggested test to confirm or refute.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 52
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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