eval-driven-development
eval-driven-development is a Test-driven development skill for AI agents, published by ContextJet-ai in the awesome-llm-observability repository on GitHub. Skillspace rates eval-driven-development C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use this to build or change an LLM feature the reliable way, by writing evals first and iterating against them, instead of tweaking prompts by vibes. Trigger on "how do I improve this prompt", "my changes keep breaking other things", "how do I know if this is better", "iterate on my agent", or any prompt/model/RAG change. This is test-driven development for LLMs.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 21
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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