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 markus-global/markus --skill feishu-interactiongit clone --depth 1 https://github.com/markus-global/markusWrote 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/markus-global/markus/feishu-interaction)<a href="https://agentmods.dev/skills/markus-global/markus/feishu-interaction"><img src="https://agentmods.dev/badge/skills/markus-global/markus/feishu-interaction/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/markus-global/markus/feishu-interaction"><img src="https://agentmods.dev/badge/skills/markus-global/markus/feishu-interaction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.01380 |
| Opus 5.5 | $0.00010 | $0.00552 |
| Sonnet 5.5 | $0.00005 | $0.00276 |
| Haiku 4.5 | $0.00002 | $0.00138 |
Grade A, and why
feishu-interaction 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 1mo 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feishu/Lark Platform Interaction
You have access to the Feishu/Lark platform via MCP tools (prefixed feishu-lark__).
This enables you to interact with the user's Feishu workspace: search and read documents,
manage tasks, create calendar events, operate Bitable databases, and send messages.
Available Capabilities
Documents (文档)
docx.v1.document.rawContent— Read document contentdocx.builtin.import— Import documents (create new docs from content)docx.builtin.search— Search documents by keywordwiki.v2.space.getNode— Get Wiki node contentwiki.v1.node.search— Search Wiki nodes
Tasks (任务)
task.v2.task.create— Create a new task with title, description, due datetask.v2.task.patch— Update an existing tasktask.v2.task.addMembers— Add members to a tasktask.v2.task.addReminders— Add reminders to a task
Calendar (日历)
calendar.v4.calendarEvent.create— Create a calendar eventcalendar.v4.calendarEvent.patch— Modify a calendar eventcalendar.v4.calendarEvent.get— Get calendar event detailscalendar.v4.freebusy.list— Query free/busy statuscalendar.v4.calendar.primary— Get primary calendar info
Bitable (多维表格)
bitable.v1.appTable.list— List tables in a basebitable.v1.appTableField.list— List fields in a tablebitable.v1.appTableRecord.search— Search recordsbitable.v1.appTableRecord.create— Create recordsbitable.v1.appTableRecord.update— Update records
Messaging (消息)
im.v1.message.create— Send a message to a chat or userim.v1.message.list— List messages in a chatim.v1.chat.create— Create a new group chatim.v1.chat.list— List chats the bot is in
Contacts (通讯录)
contact.v3.user.batchGetId— Batch get user IDs by email/mobile
Best Practices
Document Operations
- Search before read — Always search for documents first to find the correct
document_id - Prefer Wiki nodes — If the user mentions "知识库" or "Wiki", use wiki APIs
- Cite sources — When referencing document content in replies, include the document title
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 111 lines · 24 tokens per session scan A 273bab113e77
feishu-interaction is a skill published in the GitHub repository markus-global/markus (208 stars, last pushed today), licensed Apache-2.0. It adds 24 tokens to every session and 1,380 once invoked, about $0.0001 per session on Opus 5.5. 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.
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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.
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Optionally manage, validate, compare, and publish workspace artifact candidates with the standalone Workbench CLI when checkpoints or multiple candidates would materially improve the task.
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close-issue
Close a GitHub or GitLab issue with a summary comment.