memory-management
memory-management is a Memory stores & recall skill for AI agents, published by MODSetter in the SurfSense repository on GitHub. Skillspace rates memory-management B (84/100) and it passed the safety scan; a judge model has also reviewed it.
Persist SEO/GEO campaign context across Claude sessions with automatic hot-list, active work, and archive tiers. 项目记忆/跨会话
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 15,263
Placed #5 of 6 in the judged category final for Memory stores & recall.
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
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 2 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic tiered session memory pattern for SEO campaign context
Judge review
Placed #5 of 6 in the judged category final for Memory stores & recall.
- Trigger
82 82 - Instructions
75 75 - Specificity
80 80 - Safety
82 82 - Disclosure
62 62 - Maintenance
52 52
Genuinely useful numeric promotion and demotion thresholds and confirmation gates on risky writes, buried under self-promotional links to the author's paid skill marketplace listings.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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