memory-recall
memory-recall is a Memory stores & recall skill for AI agents, published by zhangfengcdt in the memoir repository on GitHub. Skillspace rates memory-recall D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Recall facts from past sessions via memoir for questions or tasks that may depend on prior preferences, decisions, conventions, or knowledge. Use one fast summarize/get pass by default, exclude metrics unless requested, never call legacy `memoir recall`, and defer repo-structure onboarding questions to memoir-onboard.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 594
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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