alfred-learning-introspection
alfred-learning-introspection is a Memory stores & recall skill for AI agents, published by ssdavidai in the alfred repository on GitHub. Skillspace rates alfred-learning-introspection C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Look inside Alfred's own learning system — what observations have been recorded, what instincts have been learned, what reflections have been synthesized, and what's queued. Use when Sir asks questions like "what have you noticed about me lately?" or "why are you routing X emails to urgent?" or "show me what you've learned this week".
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 227
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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