opik-optimizer
opik-optimizer is a Prompt design & optimisation skill for AI agents, published by vincentkoc in the dotskills repository on GitHub. Skillspace rates opik-optimizer C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 94
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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