Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/tbthr/feishu-skill/feishu-analyst)<a href="https://agentmods.dev/skills/tbthr/feishu-skill/feishu-analyst"><img src="https://agentmods.dev/badge/skills/tbthr/feishu-skill/feishu-analyst/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/tbthr/feishu-skill/feishu-analyst"><img src="https://agentmods.dev/badge/skills/tbthr/feishu-skill/feishu-analyst.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 | $0.00066 | $0.02528 |
| Opus 5 | $0.00033 | $0.01264 |
| Sonnet 5 | $0.00013 | $0.00506 |
| Haiku 4.5 | $0.00007 | $0.00253 |
Grade A, and why
feishu-analyst 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feishu Document Analyst
Analyze Feishu documents efficiently with zero-context MCP calling.
Zero-Context MCP 调用
本 Skill 使用 零上下文模式 调用飞书 MCP 工具:
- 工具定义不加载到 context(节省 ~15,000 tokens)
- 工具响应不注入 context(执行时 0 tokens)
- 通过
executor.py外部执行
Prerequisites
依赖已内置,只需确保:
- Python 3.8+
mcppackage 已安装:pip install mcp
首次使用配置
方式一:运行配置脚本(推荐)
python scripts/setup.py
方式二:设置环境变量
export FEISHU_APP_ID='your-app-id'
export FEISHU_APP_SECRET='your-app-secret'
export FEISHU_AUTH_TYPE='tenant' # 或 'user'
获取凭证:https://open.feishu.cn/ → 创建应用 → 凭证与基础信息
Quick Start
For PRD Analysis (Recommended)
Use the dedicated slash command: /feishu-prd-analyse <URL>
Example:
/feishu-prd-analyse https://dy3m1s1v7v.feishu.cn/docx/CgMCdRMh8oMtDKxVcURcrb0DnVr
This command will automatically:
- Read the ENTIRE document (all text, tables, whiteboards, images, diagrams, flowcharts, etc.)
- Use zero-context MCP calling via
executor.py - Load the PRD checklist from
references/prd_checklist.md - Extract document content and convert to Markdown
- Apply systematic analysis framework
- Generate structured review with findings and recommendations
Manual Analysis
入口选择指南
| 场景 | 入口 | 说明 |
|---|---|---|
| 固定流程(PRD 分析) | /feishu-prd-analyse |
稳定、可预测 |
| 动态需求 | Python API | 灵活、可组合 |
| 命令行操作 | CLI | 直接调用 |
1. CLI 命令
# 获取文档并保存到临时文件
python "${CLAUDE_PLUGIN_ROOT}/skills/feishu-analyst/scripts/cli.py" save "https://xxx.feishu.cn/wiki/xxx"
# 输出示例:
# {
# "document_id": "G85TdPCcTo91CYx4aYzcLKCnnFe",
# "title": "文档标题",
# "blocks_file": "/tmp/document_G85TdPCcTo91CYx4aYzcLKCnnFe_blocks.json",
# "markdown_file": "/tmp/document_G85TdPCcTo91CYx4aYzcLKCnnFe.md"
# }
# 指定输出目录
python "${CLAUDE_PLUGIN_ROOT}/skills/feishu-analyst/scripts/cli.py" save "https://xxx.feishu.cn/wiki/xxx" --output-dir ./output
# 获取文档大纲
python "${CLAUDE_PLUGIN_ROOT}/skills/feishu-analyst/scripts/cli.py" outline /tmp/document_xxx_blocks.json
# 列出所有工具
python "${CLAUDE_PLUGIN_ROOT}/skills/feishu-analyst/scripts/cli.py" list
# 获取工具描述
python "${CLAUDE_PLUGIN_ROOT}/skills/feishu-analyst/scripts/cli.py" describe get_feishu_document_blocks
# 直接调用工具
python "${CLAUDE_PLUGIN_ROOT}/skills/feishu-analyst/scripts/cli.py" call get_feishu_document_info \
--args '{"documentId": "https://xxx.feishu.cn/wiki/xxx", "documentType": "wiki"}'
What ships with it
8 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.
- 9d ago First seen · 283 lines · 66 tokens per session scan A 2e29439db88e
feishu-analyst is a skill published in the GitHub repository Tbthr/feishu-skill (3 stars, last pushed 6mo ago), licensed MIT. It adds 66 tokens to every session and 2,528 once invoked, about $0.0003 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.
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