agent-improver
agent-improver is a Skill evaluation & testing skill for AI agents, published by exiao in the skills repository on GitHub. Skillspace rates agent-improver 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.
Autonomously improve AI agent skills through eval-driven mutation loops. Use when asked to "improve a skill", "optimize agent performance", "evolve a skill", "run an improvement loop", "make this skill better", "optimize this prompt", "self-improve", "mutation loop", "eval-driven optimization", or "GEPA-style evolution". Also use when diagnosing why a skill underperforms or when building eval datasets from real session history. Works against any agent type: ADK, LangChain, CrewAI, AutoGen, custom Python, HTTP API, or CLI agents.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 35
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.
Our review
- Architecture
- 84 / 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
- dynamic code execution (eval/exec)
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.