memory-onboarding
memory-onboarding is a Memory stores & recall skill for AI agents, published by basicmachines-co in the basic-memory repository on GitHub. Skillspace rates memory-onboarding D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, and set up their AI assistant to load it automatically. Use this skill whenever a user says they're new to Basic Memory, wants to 'get started', 'set up', or 'onboard' with Basic Memory, doesn't know what to use it for, asks how to organize their memory project or knowledge base, wants help designing folders/schemas/conventions, or asks how to make their assistant remember context between sessions. Also use it when a user has an empty or messy Basic Memory project and wants structure.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 3,949
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
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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