session-memory
session-memory is a Memory stores & recall skill for AI agents, published by murphytrueman in the design-system-ops repository on GitHub. Skillspace rates session-memory D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Persist and recall findings across skill runs within and between sessions, building a cumulative knowledge base of what has been discovered about a design system. This is the cross-skill memory layer — it saves what was found, when, and by which skill, so future runs can compare, correlate, and avoid repeating work. Trigger when someone says: save these findings, remember this for later, compare with last run, what did we find before, load previous findings, recall the last audit, session history, show me what changed, cross-reference with previous runs, or anything about persisting, recalling, or comparing findings over time. Do NOT trigger for generating a single standalone report — use the specific skill for that. Do NOT trigger for running a full diagnostic — use full-system-diagnostic for that.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 143
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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