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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