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Loom
作者
aiwithabidi
· GitHub ↗
· v1.0.0
322
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当前安装
1
版本数
在 OpenClaw 中安装
/install loom
功能描述
Loom — manage video recordings, transcripts, and folders via Developer API
使用说明 (SKILL.md)
🎥 Loom
Loom — manage video recordings, transcripts, and folders via Developer API
Requirements
| Variable | Required | Description |
|---|---|---|
LOOM_ACCESS_TOKEN |
✅ | Developer API access token |
Quick Start
# List videos
python3 {{baseDir}}/scripts/loom.py videos --per_page \x3Cvalue>
# Get video
python3 {{baseDir}}/scripts/loom.py video-get id \x3Cvalue>
# Update video
python3 {{baseDir}}/scripts/loom.py video-update id \x3Cvalue> --title \x3Cvalue> --description \x3Cvalue>
# Delete video
python3 {{baseDir}}/scripts/loom.py video-delete id \x3Cvalue>
# Get transcript
python3 {{baseDir}}/scripts/loom.py video-transcript id \x3Cvalue>
# List comments
python3 {{baseDir}}/scripts/loom.py video-comments id \x3Cvalue>
# List folders
python3 {{baseDir}}/scripts/loom.py folders
# Get folder
python3 {{baseDir}}/scripts/loom.py folder-get id \x3Cvalue>
All Commands
| Command | Description |
|---|---|
videos |
List videos |
video-get |
Get video |
video-update |
Update video |
video-delete |
Delete video |
video-transcript |
Get transcript |
video-comments |
List comments |
folders |
List folders |
folder-get |
Get folder |
folder-videos |
List folder videos |
user |
Get current user |
members |
List workspace members |
Output Format
All commands output JSON by default. Add --human for readable formatted output.
python3 {{baseDir}}/scripts/loom.py \x3Ccommand> --human
Script Reference
| Script | Description |
|---|---|
{{baseDir}}/scripts/loom.py |
Main CLI — all commands in one tool |
Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.
📅 Need help setting up OpenClaw for your business? Book a free consultation
安全使用建议
This skill is a small CLI for the Loom Developer API and only needs LOOM_ACCESS_TOKEN. Before installing: (1) review the included scripts/loom.py (it is short and uses only stdlib); (2) be aware the script will look for LOOM_ACCESS_TOKEN in the environment or in a .env file under WORKSPACE (default ~/.openclaw/workspace/.env) — if that file contains other secrets, the script will read it (though it only extracts the named variable). If you keep other secrets in that .env, consider moving them or setting LOOM_ACCESS_TOKEN explicitly in the environment. Also limit the token's scope and rotate it if you become concerned. Overall the skill is coherent with its stated purpose, but the implicit .env file read is an undocumented behavior you should accept consciously before use.
功能分析
Type: OpenClaw Skill
Name: loom
Version: 1.0.0
The Loom skill bundle is a standard CLI implementation for interacting with the Loom Developer API (developer.loom.com). The script `scripts/loom.py` uses only Python standard libraries to perform CRUD operations on videos and folders, with no evidence of data exfiltration, unauthorized execution, or malicious prompt injection.
能力评估
Purpose & Capability
Name/description, commands in SKILL.md, and the included Python script all align: the tool calls the Loom Developer API endpoints and requires a LOOM_ACCESS_TOKEN.
Instruction Scope
SKILL.md documents CLI operations against the Loom API only, but the script's get_env() will read a .env file under WORKSPACE (defaulting to ~/.openclaw/workspace/.env) to find LOOM_ACCESS_TOKEN. The README/metadata do not mention reading workspace files.
Install Mechanism
No install spec; this is an instruction-only skill with a small standalone Python script that uses only the standard library — low install risk.
Credentials
Declared requirement is a single LOOM_ACCESS_TOKEN (primary credential), which is appropriate. However, the script also reads the WORKSPACE environment variable (if present) and the .env file in that workspace directory to retrieve the token. That file may contain unrelated secrets; reading it is not declared in SKILL.md and increases the chance of accidental exposure of other variables.
Persistence & Privilege
No elevated privileges requested. always is false, the skill does not modify other skills or global agent config, and it does not request persistent installation.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install loom - 安装完成后，直接呼叫该 Skill 的名称或使用
/loom触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of the Loom skill.
- Manage Loom video recordings, transcripts, comments, and folders via the Developer API.
- Includes a CLI supporting video listing, detail, update, delete, transcript retrieval, and comment listing.
- Folder and workspace management commands available.
- Requires a LOOM_ACCESS_TOKEN environment variable.
- Outputs results in JSON with an optional human-readable format.
- No external dependencies (stdlib only); compatible with Python 3.10+.
元数据
常见问题
Loom 是什么？
Loom — manage video recordings, transcripts, and folders via Developer API. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 322 次。
如何安装 Loom？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install loom」即可一键安装，无需额外配置。
Loom 是免费的吗？
是的，Loom 完全免费（开源免费），可自由下载、安装和使用。
Loom 支持哪些平台？
Loom 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Loom？
由 aiwithabidi（@aiwithabidi）开发并维护，当前版本 v1.0.0。
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