recall
recall is a Memory stores & recall skill for AI agents, published by AgentSystemLabs in the core repository on GitHub. Skillspace rates recall D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Save durable project knowledge to Mission Control's Recall (project memory) so future sessions start already knowing it. Use when you discover or decide something worth remembering about THIS project — an architecture fact, a decision and its rationale, a convention, a stack detail, a glossary term, a known issue, or a useful discovery ("X lives in Y", "Z is generated"). Requires a Mission Control agent session (MC_API_URL, MC_API_TOKEN, MC_TASK_ID are injected automatically). Not for transient to-dos, run-specific notes, or projects running outside Mission Control.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 113
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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