opt
opt is a Skill evaluation & testing skill for AI agents, published by tkersey in the dotfiles repository on GitHub. Skillspace rates opt C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Orchestrate evidence-backed optimization of user-owned Codex skills through $seq or $shadow evidence, $tune diagnosis, and $refine package editing and validation. Use for explicit skill audits, missed/false/ceremonial activation, decision-contract tuning, regression repair, or authorized skill edits. Not for application-code optimization or autonomous portfolio mutation.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 63
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
- 100 / 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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