documents
documents is a Workspace, docs & work tracking skill for AI agents, published by yjwong in the lark-cli repository on GitHub. Skillspace rates documents F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Read and write Lark documents - get content as markdown or blocks, create new documents, append content (text, headings, lists, code), list folders. Use when user asks about a Lark doc, wants to read/create/edit a document, or mentions a document URL/ID.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 53
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
- 81 / 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
- 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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