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Install in OpenClaw
/install meeting-assistant-claw
Description
全流程会议助理虾。核心职责：录音转写、提炼待办并分发任务。业务价值：结果闭环——直接将待办指派到人的协作软件中，防止烂尾。 激活场景：用户发送会议录音文件（mp3/m4a/opus/wav/flac 等音频格式），要求转写、记纪要、提炼待办、分发任务。 触发关键词：转写录音、会议纪要、会议记录、提炼待办、会议总结...
Usage Guidance
Before installing or running this skill, consider the following:
- Metadata mismatch: The SKILL.md requires FEISHU_APP_ID/FEISHU_APP_SECRET and a local SenseVoice transcription environment, but the published registry entry lists no required env vars or installs. Ask the publisher to update metadata to list these requirements.
- Sensitive credentials: FEISHU_APP_ID/SECRET give the skill the ability to obtain tenant_access_token and read/send messages and access contact lists. Only provide credentials for a purpose-scoped app and review app permissions (im:message:send_as_bot, contact:contact.base:readonly, im:chat).
- Data exposure & privacy: Audio may contain sensitive information. Transcripts are written to disk (~./transcripts, ~/.cache/modelscope). Decide whether storing transcripts locally or sending notifications to Feishu is acceptable for your data policy.
- Trust the transcription stack: The skill expects to use SenseVoice/FunASR and will download models into ~/.cache/modelscope. Ensure these packages and model sources are trusted and obtained from official releases to avoid malicious binaries.
- Plugin dependency: It prefers an internal openclaw-lark plugin if present; otherwise it will call Feishu APIs directly. Confirm presence and integrity of that plugin if you intend to use it.
- Test safely: If you proceed, test in an isolated/dev account first (limited-permission Feishu app, non-production audio) to verify behavior and tokens are handled correctly.
If the publisher cannot or will not clearly declare required env vars, install steps, and the Feishu app scope, treat the skill as untrusted and avoid providing production credentials.
Capability Analysis
Type: OpenClaw Skill
Name: meeting-assistant-claw
Version: 1.0.0
The skill is a legitimate meeting assistant designed to transcribe audio files, summarize content, and distribute tasks via Feishu (Lark). It uses the SenseVoice-Small model for local transcription and provides a clear, multi-step workflow in SKILL.md that includes a mandatory user confirmation step before sending any external messages. While it handles sensitive credentials (FEISHU_APP_ID/SECRET) and executes Python scripts for transcription, these actions are strictly aligned with its stated purpose and use official API endpoints (open.feishu.cn). No evidence of data exfiltration, malicious persistence, or prompt injection was found.
Capability Assessment
Purpose & Capability
The stated purpose (transcribe audio, extract tasks, and send them via Feishu) aligns with the instructions. However, the SKILL.md demands a large local transcription stack (Python venv, funasr/modelscope/onnxruntime/torch, cached models) and Feishu app credentials, while the registry metadata lists no required env vars or binaries. That metadata omission is inconsistent and reduces transparency.
Instruction Scope
Runtime instructions perform local file I/O (reading audio, writing transcripts under ~/.cache and ./transcripts, checking ~/.openclaw/extensions), run a Python one-liner to invoke local models, and call Feishu APIs to read contacts and send messages. Those actions are within the skill's described purpose, but they reference other local components/paths (sensevoice-transcribe skill, openclaw-lark plugin) and require access to contact lists and networked Feishu endpoints — all of which should be explicitly declared.
Install Mechanism
There is no install spec (instruction-only), which is low-risk from an installer standpoint. But the skill mandates preinstalled heavy ML packages and model caches; those will download large model files to ~/.cache/modelscope and require CPU/GPU resources. Expect significant disk, network, and dependency footprints despite no install recipe being provided.
Credentials
SKILL.md requires FEISHU_APP_ID and FEISHU_APP_SECRET, plus access to the Feishu contact API (reading user open_id), yet the skill metadata lists no required environment variables or credentials. Requesting credentials that grant access to the org's user directory and sending messages is sensitive and should be declared explicitly in metadata and justified by the skill.
Persistence & Privilege
The skill is not marked always:true and does not request permanent platform-wide privileges. It can be invoked by the agent (normal default). It reads/writes files within user-visible paths and checks for an optional plugin; it does not appear to modify other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install meeting-assistant-claw - After installation, invoke the skill by name or use
/meeting-assistant-claw - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
首次发布：录音转写→会议纪要→待办提取→飞书消息分发一站式闭环
Metadata
Frequently Asked Questions
What is 全流程会议助理虾?
全流程会议助理虾。核心职责：录音转写、提炼待办并分发任务。业务价值：结果闭环——直接将待办指派到人的协作软件中，防止烂尾。 激活场景：用户发送会议录音文件（mp3/m4a/opus/wav/flac 等音频格式），要求转写、记纪要、提炼待办、分发任务。 触发关键词：转写录音、会议纪要、会议记录、提炼待办、会议总结... It is an AI Agent Skill for Claude Code / OpenClaw, with 92 downloads so far.
How do I install 全流程会议助理虾?
Run "/install meeting-assistant-claw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 全流程会议助理虾 free?
Yes, 全流程会议助理虾 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 全流程会议助理虾 support?
全流程会议助理虾 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 全流程会议助理虾?
It is built and maintained by Ricky (@tujinsama); the current version is v1.0.0.
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