Higress Openclaw Integration
higress-group/higress
Deploy and configure Higress AI Gateway for OpenClaw integration.
This skill should be used when the user sends an image and asks to "analyze this image", "describe this picture", "what's in this image", or any request requiring visual understanding of images.
No licenceAuto-check passed
Install Glm Vision
$ npx skills add archibate/dotfiles-opencode --skill glm-vision -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install archibate/dotfiles-opencode glm-vision --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/glm-vision .claude/skills/glm-vision && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "glm-vision" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/glm-vision into .claude/skills/glm-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-vision", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/archibate/dotfiles-opencode/tree/main/skills/glm-visionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add archibate/dotfiles-opencode --skill glm-vision -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install archibate/dotfiles-opencode glm-vision --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/glm-vision .agents/skills/glm-vision && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "glm-vision" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/glm-vision into .agents/skills/glm-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-vision", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add archibate/dotfiles-opencode --skill glm-vision -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install archibate/dotfiles-opencode glm-vision --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/glm-vision .cursor/skills/glm-vision && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "glm-vision" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/glm-vision into .cursor/skills/glm-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-vision", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/archibate/dotfiles-opencode.git --path skills/glm-vision--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add archibate/dotfiles-opencode --skill glm-vision -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install archibate/dotfiles-opencode glm-vision --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/glm-vision .gemini/skills/glm-vision && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "glm-vision" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/glm-vision into .gemini/skills/glm-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-vision", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install archibate/dotfiles-opencode glm-visionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add archibate/dotfiles-opencode --skill glm-vision -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/glm-vision .github/skills/glm-vision && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "glm-vision" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/glm-vision into .github/skills/glm-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-vision", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add archibate/dotfiles-opencode --skill glm-vision -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install archibate/dotfiles-opencode glm-vision --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/glm-vision .opencode/skills/glm-vision && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "glm-vision" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/glm-vision into .opencode/skills/glm-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-vision", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
glm-vision- GitHub stars
- 108
- Token cost
- ~795 tokens
- SKILL.md length
- 127 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 34
- Repo updated
- First seen
- Licence
- None found
At a glance
This skill should be used when the user sends an image and asks to "analyze this image", "describe this picture", "what's in this image", or any request requiring visual understanding of images.
- Works in 4 steps: 接收图片: 用户发送图片，保存到临时目录 → 构建请求: 将图片转为 base64 或使用 URL → 调用 API: 发送到 GLM-4.6V 模型 → …
- Sends an image and asks to analyze this image
- SKILL.md covers 概述, 使用场景, API 配置 and 调用方式, plus 5 more sections
- Runs Python scripts from its folder; calls python3; reaches open.bigmodel.cn; needs ZHIPU_API_KEY
What it does
Glm Vision is an agent skill from archibate/dotfiles-opencode. This skill should be used when the user sends an image and asks to "analyze this image", "describe this picture", "what's in this image", or any request requiring visual understanding of images. Provides image analysis using Zhipu GLM-4.6V multimodal model.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/analyze_image.py`).
It works with Zhipu GLM. The repository describes itself as: Archibate's personal configuration for OpenCode.
When your agent uses it
- Sends an image and asks to analyze this image
- Describe this picture
- Whats in this image
- Any request requiring visual understanding of images
Example prompts
- “analyze this image”
- “describe this picture”
- “s in this image”
- “/glm-vision”
Requirements
- Python 3
- A credential in ZHIPU_API_KEY
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 接收图片: 用户发送图片，保存到临时目录
- 构建请求: 将图片转为 base64 或使用 URL
- 调用 API: 发送到 GLM-4.6V 模型
- 返回结果: 解析并展示分析结果
What it can do on your machine
Read from SKILL.md and the folder at commit 46b6b23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
open.bigmodel.cn
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ZHIPU_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Glm Vision loads about 795 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 127 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 127 words (~795 tokens).
- name
- glm-vision
- version
- 0.1.0
Files
SKILL.md and 2 other files (scripts, references) in skills/glm-vision of archibate/dotfiles-opencode.
- SKILL.md
- references/api-reference.md
- scripts/analyze_image.py
Open the folder on GitHubat commit 46b6b23
Compare with similar skills
Glm Vision next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Glm Vision this skillarchibate/dotfiles-opencode | 108 | — | ~795 | Automated safety check: Pass | None | |
| Higress Openclaw Integrationhigress-group/higress | 9.5k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Image Generationjjyaoao/HelloAgents | 3.2k | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Adversarial Speczscole/adversarial-spec | 556 | 1 repos | ~8.3k | Automated safety check: Notes | MIT | |
| Weave Router Local Testingweave-os/router | 5.6k | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | |
| Video Understandjjyaoao/HelloAgents | 3.2k | 1 repos | ~6.2k | Automated safety check: Pass | MIT |
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Questions about Glm Vision
What does Glm Vision do?
This skill should be used when the user sends an image and asks to "analyze this image", "describe this picture", "what's in this image", or any request requiring visual understanding of images. Glm Vision is an agent skill from archibate/dotfiles-opencode. This skill should be used when the user sends an image and asks to "analyze this image", "describe this picture", "what's in this image", or any request requiring visual understanding of images.
When should I use Glm Vision?
Glm Vision fits situations like: sends an image and asks to analyze this image; describe this picture; whats in this image; any request requiring visual understanding of images.
How do I install Glm Vision in Claude Code?
Run `npx skills add archibate/dotfiles-opencode --skill glm-vision -a claude-code`. Or copy the skill folder (skills/glm-vision in archibate/dotfiles-opencode) into .claude/skills/glm-vision in your project. Claude Code loads it when a task matches its description.
How do I install Glm Vision in Codex?
Run `npx skills add archibate/dotfiles-opencode --skill glm-vision -a codex`. Or copy the skill folder (skills/glm-vision in archibate/dotfiles-opencode) into .agents/skills/glm-vision in your project. Codex loads it when a task matches its description.
Can I use Glm Vision in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add archibate/dotfiles-opencode --skill glm-vision -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/glm-vision, .gemini/skills/glm-vision, .github/skills/glm-vision and .opencode/skills/glm-vision in your project.
What does Glm Vision need to run?
Going by SKILL.md and its folder, Glm Vision needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named ZHIPU_API_KEY. Our summary lists: Python 3; A credential in ZHIPU_API_KEY.
Does Glm Vision access the network?
SKILL.md names 1 domain. In commands or code: open.bigmodel.cn; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Glm Vision safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Glm Vision use?
No licence was found for Glm Vision or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Glm Vision use?
About 795 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Glm Vision?
Skills that share tags, products or a category with Glm Vision: Higress Openclaw Integration (higress-group/higress, 9.5k stars), Image Generation (jjyaoao/HelloAgents, 3.2k stars), Adversarial Spec (zscole/adversarial-spec, 556 stars) and Weave Router Local Testing (weave-os/router, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Glm Vision?
archibate (a GitHub user) maintains it in archibate/dotfiles-opencode, which has 108 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on April 29, 2026.
Source: archibate/dotfiles-opencode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.