A command-line tool for working with Lark, also called Feishu, a workplace collaboration platform. It covers services such as calendars, meetings, documents, spreadsheets, messaging, tasks, approvals, and shared files.

Use it to manage meetings, read or edit documents and sheets, send messages, handle tasks and approvals, access shared files, and call Lark APIs when needed.

It gives an agent a consistent way to use Lark while checking each service's commands, data formats, permissions, and account identity.

lark-cli — Skill by vaayne

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/vaayne/agent-kit/lark-cli

Any agent

npx skills add vaayne/agent-kit --skill lark-cli

Clone the repo

git clone --depth 1 https://github.com/vaayne/agent-kit

Made for: Claude Code, Codex.

Per session 200 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 614 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00200	$0.00614
Opus 5	$0.00100	$0.00307
Sonnet 5	$0.00040	$0.00123
Haiku 4.5	$0.00020	$0.00061

Measured 2d ago against content hash acd5024026ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lark-cli scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/lark-cli/SKILL.md · 54 lines

What it actually says

Lark CLI

lark-cli carries its own agent documentation, compiled into the binary and versioned with it. Read it from the CLI; do not work from memory and do not look for docs in this repo.

Routing

lark-cli --help                      # the 23 domains, one line each
lark-cli <domain> --help             # +shortcuts (prefer these) and raw API resources
lark-cli skills read lark-<domain>   # the domain guide: concepts, workflows, gotchas
lark-cli skills read lark-<domain> references/<file>.md   # deeper references
lark-cli schema <service>.<resource>.<method>             # params, types, scopes

Start with lark-cli --help to pick the domain, then read that domain's guide before the first call. lark-cli api <METHOD> <path> is the escape hatch when no typed command exists.

Read lark-cli skills read lark-shared first for auth, --as user vs --as bot, and permission-denied handling. Identity does not carry across commands: pass --as explicitly on every call in a workflow.

Rules

Every command's --help labels it read, write, or high-risk-write. high-risk-write requires --yes, and only after the user has confirmed. Use --dry-run to preview a request without sending it.

--jq <expr> filters JSON output. Suppress the _notice banner that otherwise pollutes every JSON response:

LARKSUITE_CLI_NO_UPDATE_NOTIFIER=1 LARKSUITE_CLI_NO_SKILLS_NOTIFIER=1 lark-cli ...

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago First seen · 54 lines · 200 tokens per session scan A acd5024026ac

Subscribe to this mod's changes

lark-cli is a skill published in the GitHub repository vaayne/agent-kit (53 stars, last pushed 5d ago), licensed MIT. It adds 200 tokens to every session and 614 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Productivity Writing and docs feishu lark workspace

lark-cli

Lark/Feishu CLI skills for Stella sessions. Covers workspace operations — calendar, docs, tasks, mail, and messenger — via the Stella-managed lark-cli tool. Stella installs the binary and injects a managed per-user OAuth token; no native CLI bootstrap is required. Always read lark-shared first for identity selection…

CherryHQ/stella · 79 tokens

lark-cli

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Lark CLI

Routing

Rules

What this file has done since we first saw it

Other skills, from other repositories

lark-cli

larksnap-fetch

openlark-api-field-verify

openlark-api

openlark-api-validation

openlark-code-standards