agentic-self-improvement
agentic-self-improvement is a Prompt design & optimisation skill for AI agents, published by ChuckSRQ in the awesome-hermes-skills repository on GitHub. Skillspace rates agentic-self-improvement B (86/100) and it passed the safety scan; the rating is based on static analysis only.
Run behavioral benchmarks against the agent, detect failure patterns, generate guidance patches, apply them with auto-revert safety net. Implements the closed-loop self-improvement cycle from Hermes PR
- Grade
- B
- Quality
- 86 / 100
- Safety
- Passed
- GitHub stars
- 71
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
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Self-improvement loop built specifically for the Hermes Agent product.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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