feishu-webhook

feishu-webhook is a skill for Claude Code from grasscaograss/AwesomeWeldoneSkills. It costs 63 tokens per session (432 once invoked), scanned A, original, Apache-2.0.

A workflow for sending text messages to a Feishu group through a webhook, which is a URL that lets software post messages to another service. It uses a PowerShell 7 script and UTF-8 text files for Chinese messages.

In plain words
What is it for?
Use it to send Feishu notifications, reminders, and alerts after preparing the message and confirming that it should be posted.
Why use it?
It avoids common encoding problems that can turn Chinese text into unreadable characters. Requiring confirmation before sending can also prevent unintended notifications.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

Good fit Use it to send Feishu notifications, reminders, and alerts after preparing the message and confirming that it should be posted.

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Install with agentmods
npx agentmods add skills/grasscaograss/awesomeweldoneskills/feishu-webhook
Install

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.

Any agent
npx skills add grasscaograss/AwesomeWeldoneSkills --skill feishu-webhook
Clone the repo
git clone --depth 1 https://github.com/grasscaograss/AwesomeWeldoneSkills

Made for: Claude Code.

Its marketplace also offers this one on its own, as the plugin feishu-webhook/plugin install feishu-webhook after adding the marketplace above.

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.

agentmods badge for feishu-webhook

README.md
[![agentmods](https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/feishu-webhook/github.svg)](https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/feishu-webhook)
Your own site
<a href="https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/feishu-webhook"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/feishu-webhook/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.

agentmods 80×15 button for feishu-webhook

Your own site · 80×15
<a href="https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/feishu-webhook"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/feishu-webhook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.00432
Opus 5 $0.00032 $0.00216
Sonnet 5 $0.00013 $0.00086
Haiku 4.5 $0.00006 $0.00043

Measured 10d ago against content hash 65ef41c16687, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

feishu-webhook scanned grade A with 1 finding 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 10d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/feishu-webhook.ps1, scripts/feishu-webhook.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**重要:必须使用 pwsh 7 脚本发送,禁止使用 curl 或 Python。**
feishu-webhook/SKILL.md · 40 lines

What it actually says

飞书 Webhook 消息发送

重要:必须使用 pwsh 7 脚本发送,禁止使用 curl 或 Python。

  • curl 在 Windows 上无法正确处理中文编码,会导致乱码。
  • Python 在本环境不可用(python/python3 指向 Microsoft Store 占位符,实际未安装)。

发送方法

步骤一: 将消息内容写入临时文件(使用 Write 工具):

路径:.claude/tmp/msg.txt,内容为要发送的文本。

步骤二: 执行 pwsh 7 脚本(默认 UTF-8):

pwsh -NoProfile -ExecutionPolicy Bypass -File ".claude/skills/feishu-webhook/scripts/feishu-webhook.ps1" -Webhook "912c3ff9626dc8fd25a16fd9d102f629" -MsgFile ".claude/tmp/msg.txt"

步骤三: 删除临时文件:

rm .claude/tmp/msg.txt

编码说明

pwsh 7 默认使用 UTF-8。脚本启动时会显式设置输入、输出和 cmdlet 编码默认值,并通过 [System.IO.File]::ReadAllText(path, UTF8) 读取消息文件。

消息发送时统一使用 application/json; charset=utf-8,避免中文在 webhook 请求或控制台输出中乱码。

Files

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.

Changes

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.

  1. 10d ago First seen · 40 lines · 63 tokens per session scan A 65ef41c16687

Subscribe to this mod's changes

feishu-webhook is a skill published in the GitHub repository grasscaograss/AwesomeWeldoneSkills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 63 tokens to every session and 432 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.