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 agentmods add skills/apiliumcode/mayros/feishu-docnpx skills add ApiliumCode/mayros --skill feishu-docgit clone --depth 1 https://github.com/ApiliumCode/mayrosWhat 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 | $0.00027 | $0.00647 |
| Opus 5 | $0.00014 | $0.00324 |
| Sonnet 5 | $0.00005 | $0.00129 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
feishu-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 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.
This is a copy
100% identical to feishu-doc — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feishu Document Tool
Single tool feishu_doc with action parameter for all document operations.
Token Extraction
From URL https://xxx.feishu.cn/docx/ABC123def → doc_token = ABC123def
Actions
Read Document
{ "action": "read", "doc_token": "ABC123def" }
Returns: title, plain text content, block statistics. Check hint field - if present, structured content (tables, images) exists that requires list_blocks.
Write Document (Replace All)
{ "action": "write", "doc_token": "ABC123def", "content": "# Title\n\nMarkdown content..." }
Replaces entire document with markdown content. Supports: headings, lists, code blocks, quotes, links, images ( auto-uploaded), bold/italic/strikethrough.
Limitation: Markdown tables are NOT supported.
Append Content
{ "action": "append", "doc_token": "ABC123def", "content": "Additional content" }
Appends markdown to end of document.
Create Document
{ "action": "create", "title": "New Document" }
With folder:
{ "action": "create", "title": "New Document", "folder_token": "fldcnXXX" }
List Blocks
{ "action": "list_blocks", "doc_token": "ABC123def" }
Returns full block data including tables, images. Use this to read structured content.
Get Single Block
{ "action": "get_block", "doc_token": "ABC123def", "block_id": "doxcnXXX" }
Update Block Text
{
"action": "update_block",
"doc_token": "ABC123def",
"block_id": "doxcnXXX",
"content": "New text"
}
Delete Block
{ "action": "delete_block", "doc_token": "ABC123def", "block_id": "doxcnXXX" }
Reading Workflow
- Start with
action: "read"- get plain text + statistics - Check
block_typesin response for Table, Image, Code, etc. - If structured content exists, use
action: "list_blocks"for full data
Configuration
channels:
feishu:
tools:
doc: true # default: true
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.
- 2d ago First seen · 106 lines · 27 tokens per session scan A a6729850c0f0
feishu-doc is a skill published in the GitHub repository ApiliumCode/mayros (12 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 647 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to feishu-doc, differing in 0 lines, and is treated as a copy.
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