inspect-ai
inspect-ai is an LLM evaluation & observability skill for AI agents, published by JackHopkins in the factorio-learning-environment repository on GitHub. Skillspace rates inspect-ai 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.
Use this skill whenever asked to run Inspect AI evaluations, analyze .eval or .json log files, read trajectory data, or work with the Inspect AI Python API. Triggers include mentions of "inspect eval", ".eval files", "eval logs", "trajectory", "EvalLog", "samples", "scores", or references to the inspect_ai Python package. Also use when asked to analyze agent behavior from evaluation runs, extract scores/metrics, retry failed evals, or compare evaluation results programmatically.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,034
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.
Our review
- Architecture
- 98 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- dynamic code execution (eval/exec)
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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