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.
npx skills add yoreland/lark-cli-mcp --skill feishu-larkgit clone --depth 1 https://github.com/yoreland/lark-cli-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yoreland/lark-cli-mcp/feishu-lark)<a href="https://agentmods.dev/skills/yoreland/lark-cli-mcp/feishu-lark"><img src="https://agentmods.dev/badge/skills/yoreland/lark-cli-mcp/feishu-lark/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yoreland/lark-cli-mcp/feishu-lark"><img src="https://agentmods.dev/badge/skills/yoreland/lark-cli-mcp/feishu-lark.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00240 | $0.01834 |
| Opus 5 | $0.00120 | $0.00917 |
| Sonnet 5 | $0.00048 | $0.00367 |
| Haiku 4.5 | $0.00024 | $0.00183 |
Grade A, and why
feishu-lark 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feishu / Lark (user identity)
Drive the @yoreland/lark-cli-mcp MCP server to operate Feishu/Lark as the logged-in human user (sender/creator shown in Feishu is the user, not a bot). All tools return JSON — parse it to extract ids, titles, and content.
Prerequisites (one-time)
MCP server registered in the client and the user logged in:
- MCP config — Command
npx, Arguments-y @yoreland/lark-cli-mcp - Terminal setup:
npx -y @yoreland/lark-cli-mcp -- config init --new(scan QR to bind the Feishu app)npx -y @yoreland/lark-cli-mcp auth(OAuth device-flow login; requests domains im,contact,docs,wiki,drive,base)
If tools are missing or calls fail with auth errors, tell the user to run those commands and reconnect. Login is interactive/personal — never do it on their behalf.
Tools
Messaging (IM)
| Tool | Use for | Required args |
|---|---|---|
feishu_send_message |
Send a message | text or markdown; plus chat_id OR user_id |
feishu_get_messages |
Read recent messages | chat_id OR user_id |
feishu_reply_message |
Reply to a message | message_id, text (opt in_thread) |
feishu_search_messages |
Search messages | keyword |
feishu_list_chats |
Find a group → chat_id |
(opt keyword) |
feishu_search_user |
Find a user → open_id |
query (name/email) |
feishu_get_thread |
View a thread | message_id |
Docs / Wiki / Drive
| Tool | Use for | Required args |
|---|---|---|
feishu_search_docs |
Search docs/wiki/sheets | query |
feishu_doc_fetch |
Read a document | doc (URL or token) |
feishu_doc_create |
Create a doc (markdown) | title (opt markdown, folder_token) |
feishu_doc_update |
Update a doc | doc, markdown (opt mode, new_title) |
feishu_drive_search |
Search Drive files | (opt query, doc_types, mine) |
feishu_wiki_node_list |
List wiki nodes | space_id (opt parent_node_token) |
feishu_wiki_node_get |
Get a wiki node | node_token (accepts a Lark URL) |
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.
- 9d ago First seen · 104 lines · 240 tokens per session scan A a501d7aa0235
feishu-lark is a skill published in the GitHub repository yoreland/lark-cli-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 240 tokens to every session and 1,834 once invoked, about $0.0012 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 2026-08-31.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
box
Box manages cloud files, sharing, search, and metadata.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
recipe-save-email-attachments
Find Gmail messages with attachments and save them to a Google Drive folder.
recipe-bulk-download-folder
List and download all files from a Google Drive folder.
material-organizer
Organize only the materials the user has already provided or explicitly pointed to. The job is to make messy inputs easier to scan, reuse, archive, or continue from later while preserving source traceability.