recording-what-an-agent-did
recording-what-an-agent-did is an LLM evaluation & observability skill for AI agents, published by FlyFission in the nuclear-grade-context-engineering repository on GitHub. Skillspace rates recording-what-an-agent-did D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Captures an agent run's tool calls, decision points, inputs, outputs, token use, and approval steps as a clear, repeatable record linked into the packet trace and verification record. Use when how the agent got there matters for debugging, auditing, cost review, or defending a release decision. Do not use for a read-only run that changes nothing, or to produce a certified compliance audit trail.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 32
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
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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.