Ross ROSS = Recommend OSS · open-source software intelligence for agents

larksuite/cli

The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetings, and more, with 200+ commands and 20+ AI Agent Skills. observed · 2026-08-28

github.com/larksuite/cli · Go · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 87
  • Longevity 11

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 1.0
  • age_days: 161
  • days_rel: 8
  • days_push: 7
  • n_releases_24m: 91

Full methodology

Adoption not part of the score

16775 stars · 1350 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official Lark/Feishu CLI tool maintained by larksuite, written in Go and distributed via npm, with 200+ commands covering Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, and Meetings. It is designed for both humans and AI Agents, shipping 26 structured Agent Skills and a three-layer command architecture from shortcuts to raw API access.

Use cases

  • send Lark messages from the terminal
  • let an AI agent manage my Feishu docs and calendar
  • automate Lark Base and Sheets operations in scripts
  • read and send Lark mail via command line
  • create tasks and schedule meetings programmatically
  • embed Lark operations into my own AI agent workflow

When to choose

  • you or your AI agent needs to operate Lark/Feishu from the terminal or scripts
  • you want official, well-tested coverage of Lark business domains
  • you need agent-friendly structured output and prebuilt Agent Skills
  • you want OS keychain credential storage and injection protection

When to avoid

  • you use a different collaboration platform like Slack or Teams
  • you need a GUI for Lark rather than command-line interaction
  • you require deep customization beyond the extension/wrapper mechanism

Facets

cli-tool · maturity active

cli developer-tools workflow-automation chatbot agent-framework developer-tools cli cross-platform windows lark feishu ai-agents agent-skills messenger docs calendar official-cli go command-line automation macos linux nodejs

1 source

Member repositories

RepositoryRoleHealth v2
larksuite/climain77

For agents

markdown · JSON · MCP: product_card(name="larksuite/cli")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem