Borrowing it
Nothing to install: this file belongs to MidnightV1/Claude-Code-Feishu. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MidnightV1/Claude-Code-Feishu/master/.claude/skills/feishu-sheet/SKILL.mdgit clone --depth 1 https://github.com/MidnightV1/Claude-Code-FeishuWrote 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/midnightv1/claude-code-feishu/feishu-sheet)<a href="https://agentmods.dev/skills/midnightv1/claude-code-feishu/feishu-sheet"><img src="https://agentmods.dev/badge/skills/midnightv1/claude-code-feishu/feishu-sheet.svg" alt="Measured on agentmods" 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 | $0.00087 | $0.00831 |
| Opus 5 | $0.00044 | $0.00415 |
| Sonnet 5 | $0.00017 | $0.00166 |
| Haiku 4.5 | $0.00009 | $0.00083 |
Grade A, and why
feishu-sheet 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 7d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 7d ago First seen · 85 lines · 87 tokens per session scan A 09a02c62584d
feishu-sheet is a skill published in the GitHub repository MidnightV1/Claude-Code-Feishu (23 stars, last pushed 4mo ago), with no licence file. It adds 87 tokens to every session and 831 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
dcf-model
Build discounted cash flow valuation workbooks in Excel.
audit-xls
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this…
google-drive-sheets
Find, read, export, edit, and manage the user's Google Drive, Docs, Sheets, and Slides through per-user OAuth.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
large-file-parquet-analysis-and-highlight
A workflow for processing large Excel workbooks by counting their rows, converting them to Parquet when needed, and finding maximum values. Parquet is a data-file format designed for efficient reading.
excel-basic-statistics-and-routing
An Excel workflow for filtering grouped data, calculating averages, extracting row ranges, removing duplicates, and adding totals.