recall
recall is a Memory stores & recall skill for AI agents, published by AbyssCN in the xihe repository on GitHub. Skillspace rates recall D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Memory layer active recall: when reasoning/writing/decisions stall, the agent proactively queries the memory store instead of waiting for a hook to fire. Fills the blind spots left by passive (hook-triggered) consumption. Trigger: /recall / recall / there should be precedent / 查历史 / 翻一下记忆 / 以前怎么做的. Skip: file grep / call chains (/graph) / library docs (context7) / git history (git log).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.