memoir-onboard
memoir-onboard is a Memory stores & recall skill for AI agents, published by zhangfengcdt in the memoir repository on GitHub. Skillspace rates memoir-onboard C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Populate or refresh a persistent, high-level project snapshot in memoir. In a git repo this writes `codebase:onboard` (code-shape: modules, goals, rules, lessons) — use when: (1) the user asks for onboarding / a codebase tour ('what does this project do', 'give me a codebase overview', 'onboard me to this repo'); (2) the user explicitly runs `/memoir:onboard` or `/memoir:onboard --force`. In a non-git folder this writes `project:onboard` (file-shape: per-file structured blobs) using deterministic stdlib extractors instead of LLM passes — use for writing, video editing, bookkeeping, and other mixed-media projects. Snapshot contents seed future sessions via SessionStart injection. Skip for ordinary recall (use memory-recall) or trivial one-file questions.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 594
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
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 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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