Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/chuancyzhang/deepseek-coworknpx agentmods add skills/chuancyzhang/deepseek-cowork/feishu-update-docWrote 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/chuancyzhang/deepseek-cowork/feishu-update-doc)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/feishu-update-doc"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/feishu-update-doc/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/chuancyzhang/deepseek-cowork/feishu-update-doc"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/feishu-update-doc.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 | $0.00027 | $0.00795 |
| Opus 5.5 | $0.00011 | $0.00318 |
| Sonnet 5.5 | $0.00005 | $0.00159 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
feishu-update-doc 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.
What it actually says
feishu-update-doc
模块兼容：所有脚本均提供
.js和.mjs两个版本。优先使用.js，若报require is not defined错误则改用同名.mjs文件。
直接用 exec 执行，不要检查文件或环境。
已实现的模式
| 模式 | 说明 | 状态 |
|---|---|---|
append |
在文档末尾追加内容 | 已实现 |
overwrite |
清除原内容后写入新内容（破坏性操作） | 已实现 |
replace_range |
替换匹配 selection 的第一处内容 | 暂未实现 |
replace_all |
替换匹配 selection 的所有内容 | 暂未实现 |
insert_before |
在匹配 selection 之前插入内容 | 暂未实现 |
insert_after |
在匹配 selection 之后插入内容 | 暂未实现 |
delete_range |
删除匹配 selection 的内容 | 暂未实现 |
暂未实现的模式会返回
{"error":"mode_not_implemented"}。当前请只使用append或overwrite。
命令
# 追加内容
node ./update-doc.js --open-id "SENDER_OPEN_ID" --doc-id "TOKEN" --mode "append" --markdown "内容"
# 覆盖全文（会清除原内容）
node ./update-doc.js --open-id "SENDER_OPEN_ID" --doc-id "TOKEN" --mode "overwrite" --markdown "内容"
可选：--new-title "新标题"
输出
脚本返回 JSON，包含 doc_url 字段（文档链接）和 reply 字段。务必将文档链接展示给用户。
必须确认的参数
| 参数 | 何时询问 |
|---|---|
--doc-id |
用户未提供文档链接或 token |
--mode |
用户未说明"追加"还是"覆盖"，必须询问。只能选择 append 或 overwrite |
--markdown |
用户未提供内容 |
授权
若返回 {"error":"auth_required"} 或 {"error":"permission_required"}，不要询问用户是否授权，直接立即执行以下命令发送授权链接：
- 若返回 JSON 中包含
required_scopes字段，将其数组值用空格拼接后传入--scope参数：
node ../feishu-auth/auth.js --auth-and-poll --open-id "SENDER_OPEN_ID" --chat-id "CHAT_ID" --timeout 60 --scope "<required_scopes 用空格拼接>"
-
若返回中不包含
required_scopes，则不加--scope参数（使用默认权限）。 -
{"status":"authorized"}→ 重新执行原始命令 -
{"status":"polling_timeout"}→ 立即重新执行此 auth 命令（不会重复发卡片） -
CHAT_ID不知道可省略
权限不足时（应用级）
若返回中包含 "auth_type":"tenant"，说明需要管理员在飞书开放平台开通应用权限，必须将 reply 字段内容原样发送给用户。
What ships with it
2 files 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 · 71 lines · 27 tokens per session scan A 9e0ddb4c9901
feishu-update-doc is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 795 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.
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…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
apify-youtube-transcript-scraper
Get YouTube captions, timestamped quotations, SRT/VTT and translated transcripts for videos, channels and playlists through the harshmaur/youtube-transcript-scraper Apify Actor.
legal-hold
Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.