lark
lark is an Auth & identity skill for AI agents, published by vaayne in the agent-kit repository on GitHub. Skillspace rates lark D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Lark/Feishu CLI skills for Anna sessions. Covers workspace operations — calendar, docs, tasks, mail, and messenger — via the lark-cli tool. In Anna, lark-cli runs under an env-var auth model with binaries resolved from $ANNA_HOME/bin: LARKSUITE_CLI_USER_ACCESS_TOKEN, LARKSUITE_CLI_APP_ID, and LARKSUITE_CLI_BRAND are injected at session start; no manual config init or auth login is needed. Always read lark-shared first for identity selection (--as user vs --as bot), scope / permission-denied handling, token refresh, and the Anna-specific rules that override upstream documentation.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 52
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
- 78 / 100
- Maturity
- Structured: ships references or scripts
- 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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