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glm-master-skillglm 大师技能

Agent Skill

glm-master-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

24,113

周安装

985

GitHub Stars

5

下载量

7,801
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:glm-master-skill(glm 大师技能)
来源仓库:https://github.com/jaredforreal/glm-master-skill
安装命令:
openclaw skills install glm-master-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install glm-master-skill

简介

策展式发现 GLM 生态系统中可用的技能资源。

  • 不执行脚本,仅提供文档索引与技能介绍。
  • 帮助用户在 OpenClaw 内快速找到相关工具。
  • 定期更新以反映最新技能发布情况。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • glm-master-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
glm-master-skill
description
|
metadata
openclaw
requires
env
[]
bins
[]
emoji
🎯
source
https://github.com/zai-org/GLM-skills/tree/main/skills/glm-master-skill
homepage
https://github.com/zai-org/GLM-skills/tree/main/skills/glm-master-skill

GLM Master Skill (Guide Only) / GLM 技能总览(仅指南)

This is a documentation-only master skill.

  • ✅ It introduces available GLM skills.
  • ✅ It provides official install links and commands.
  • ❌ It does not run any local scripts.
  • ❌ It does not use subprocess.

本 Skill 只做导航与安装说明,不执行任何本地脚本。


Official Skills Catalog / 官方技能目录

GLM-OCR

SkillPurposeLink
glmocrGeneral OCR (text extraction)https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr
glmocr-tableTable extractionhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-table
glmocr-formulaFormula extractionhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula
glmocr-handwritingHandwriting OCRhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-handwriting
glmocr-sdkGLM-OCR SDK guidancehttps://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-sdk

GLM-Image

SkillPurposeLink
glm-image-genText-to-image generationhttps://github.com/zai-org/GLM-skills/tree/main/skills/glm-image-gen

GLM-V

SkillPurposeLink
glmv-captionImage/video/file captioninghttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-caption
glmv-prompt-genPrompt generation from visual inputhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-prompt-gen
glmv-resume-screenResume screeninghttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen
glmv-groundingImage/video target localization & bounding-box visualizationhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-grounding
glmv-doc-based-writingDocument-based content generation (PDF/DOCX)https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-doc-based-writing
glmv-pdf-to-pptPDF to HTML presentation conversionhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-pdf-to-ppt
glmv-pdf-to-webPDF to academic project website conversionhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-pdf-to-web
glmv-prd-to-appBuild full-stack web app from PRD documents & prototypeshttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-prd-to-app
glmv-stock-analystMulti-source stock analysis and report generationhttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-stock-analyst
glmv-web-replicationFrontend visual replication of public websiteshttps://github.com/zai-org/GLM-skills/tree/main/skills/glmv-web-replication

Installation Methods / 安装方式

Method A: Install from Clawhub (Recommended first)

npx clawhub@latest install <skill-name>

Example:

npx clawhub@latest install glmocr
npx clawhub@latest install glmv-caption
npx clawhub@latest install glm-image-gen

You can also install multiple skills at once:

npx clawhub@latest install glmocr glmocr-table glmocr-formula glmocr-handwriting glmocr-sdk glm-image-gen glmv-caption glmv-prompt-gen glmv-resume-screen glmv-grounding glmv-doc-based-writing glmv-pdf-to-ppt glmv-pdf-to-web glmv-prd-to-app glmv-stock-analyst glmv-web-replication

Method B: If Clawhub is rate-limited

You may see errors like:

✖ Rate limit exceeded (retry in 47s, remaining: 0/20, reset in 47s)

Use one of the following:

  1. Wait and retry after reset time.
  2. Install from the official GitHub skill directory directly.

你可能会遇到 Clawhub 频率限制;可等待重试,或改用 GitHub 源安装。

Method C: Install from GitHub source

Use each skill's official path (see catalog above).

General idea:

git clone https://github.com/zai-org/GLM-skills.git

Then follow that skill's own SKILL.md for exact setup steps.


API Key Setup (required by most downstream skills)

Most GLM skills require the environment variable ZHIPU_API_KEY. This master skill itself does not read or use the key, but downstream skills will.

Security best practices: - Create a limited-scope API key with only the permissions needed for the skills you plan to use. - Store the key in environment variables only — never hardcode it in source files or commit it to version control. - Add ZHIPU_API_KEY to your .gitignore if storing it in a .env file. - Rotate the key periodically and revoke unused keys at https://bigmodel.cn/usercenter/proj-mgmt/apikeys.

Get API key: https://bigmodel.cn/usercenter/proj-mgmt/apikeys

Set in shell:

export ZHIPU_API_KEY="your_key"

或者写入环境配置文件(如 ~/.zshrc)以长期生效,但请确保该文件不会被提交到版本控制系统。


How an Agent should use this Master Skill

When user asks for GLM OCR / GLM Image / GLM-V capabilities:

  1. Match user intent to one or more skills in the catalog.
  2. Recommend installation via npx clawhub@latest install <skill-name> first.
  3. If rate-limited, tell user to retry later or use GitHub skill source.
  4. Open the selected skill's official SKILL.md and follow its instructions.

当用户提出具体任务时,Agent 按上述流程引导安装并跳转到对应技能文档。


Resource Links

  • GLM-5: https://github.com/zai-org/GLM-5
  • GLM-OCR: https://github.com/zai-org/GLM-OCR
  • GLM-Image: https://github.com/zai-org/GLM-Image
  • GLM-V: https://github.com/zai-org/GLM-V
  • API Docs: https://docs.bigmodel.cn/
  • API Key: https://bigmodel.cn/usercenter/proj-mgmt/apikeys

Why this design / 设计原因

Some skill-sharing platforms may flag subprocess execution as high risk during review.

To keep this master skill safe and easy to pass review:

  1. No helper .py installer.
  2. No local command execution logic.
  3. Only official links + clear installation instructions.

由于 subprocess 在审核中可能被视为高风险,这里采用“纯文档”方式。


Security Note

This master skill intentionally avoids executable helper scripts. It is designed for safer sharing/review in public skill marketplaces.

本 Skill 刻意不包含可执行安装脚本,以降低审核风险。

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.09%
按下载量换算5,936

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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