self-improvement
self-improvement is a Runtime diagnostics & profiling skill for AI agents, published by pageel in the para-workspace repository on GitHub. Skillspace rates self-improvement D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Enables the AI Agent to continuously improve developer velocity and code quality by recording terminal failures, recurring TDD errors, and architectural drift into the para-graph memory, and retrieving past resolutions to avoid repeating mistakes.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 46
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
- 84 / 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
- 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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