self-correction-loop
self-correction-loop is a Memory stores & recall skill for AI agents, published by Resgrid in the Core repository on GitHub. Skillspace rates self-correction-loop D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Self-improving correction capture system. After ANY user correction, detect it, generalize the lesson, and store it as a reusable rule in MEMORY.md. Ensures Claude's mistake rate drops over time by compounding corrections into permanent knowledge. Load this skill when a user corrects Claude's output, mentions "remember this", "don't do that again", "learn from mistakes", "update memory", or when starting a new session (to review existing rules).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 218
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
- Apache-2.0
- Adoption
- Adopted by 3 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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