AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
Test an AI model on a specific backend using the Pipelex inference test infrastructure.
Install Test Model
$ npx skills add Pipelex/pipelex --skill test-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Pipelex/pipelex test-model --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/Pipelex/pipelex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/test-model .claude/skills/test-model && 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 "test-model" agent skill from https://github.com/Pipelex/pipelex/tree/main/.claude/skills/test-model into .claude/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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/Pipelex/pipelex/tree/main/.claude/skills/test-modelType 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 Pipelex/pipelex --skill test-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Pipelex/pipelex test-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Pipelex/pipelex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/test-model .agents/skills/test-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "test-model" agent skill from https://github.com/Pipelex/pipelex/tree/main/.claude/skills/test-model into .agents/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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 Pipelex/pipelex --skill test-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Pipelex/pipelex test-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Pipelex/pipelex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/test-model .cursor/skills/test-model && 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 "test-model" agent skill from https://github.com/Pipelex/pipelex/tree/main/.claude/skills/test-model into .cursor/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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/Pipelex/pipelex.git --path .claude/skills/test-model--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 Pipelex/pipelex --skill test-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Pipelex/pipelex test-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Pipelex/pipelex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/test-model .gemini/skills/test-model && 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 "test-model" agent skill from https://github.com/Pipelex/pipelex/tree/main/.claude/skills/test-model into .gemini/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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 Pipelex/pipelex test-modelInstalls 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 Pipelex/pipelex --skill test-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Pipelex/pipelex.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/test-model .github/skills/test-model && 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 "test-model" agent skill from https://github.com/Pipelex/pipelex/tree/main/.claude/skills/test-model into .github/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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 Pipelex/pipelex --skill test-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Pipelex/pipelex test-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Pipelex/pipelex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/test-model .opencode/skills/test-model && 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 "test-model" agent skill from https://github.com/Pipelex/pipelex/tree/main/.claude/skills/test-model into .opencode/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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
test-model- GitHub stars
- 939
- Token cost
- ~1.3k tokens
- SKILL.md length
- 508 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Test an AI model on a specific backend using the Pipelex inference test infrastructure.
- Works in 5 steps: Identify the model and backend → Create a temporary test profile → Run tests → …
- The user says test model X
- SKILL.md covers Step 1: Identify the model and…, Step 2: Create a temporary…, Step 3: Run tests and Step 4: Interpret results, plus 1 more section
- Calls make
What it does
Test Model is an agent skill from Pipelex/pipelex. Test an AI model on a specific backend using the Pipelex inference test infrastructure. Handles test profile creation, fixture regeneration, and running the right test class for the model type (LLM, image gen, extract, search). Use when the user says "test model X", "test gpt-5.4 on openai", "test model on anthropic", "run inference test for model", "try model X on backend Y", "verify model X works", or any variation of running inference tests against a specific model on a specific backend. Also use when the user…
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Image generation. It works with OpenAI. The repository describes itself as: Build AI methods with your coding agent, then run them anywhere: as an MCP for chatbots, as a webapp for people, or via API for your software.
When your agent uses it
- The user says test model X
- Test gpt-5.4 on openai
- Test model on anthropic
- Run inference test for model
Example prompts
- “test model X”
- “test gpt-5.4 on openai”
- “test model on anthropic”
- “/test-model”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Identify the model and backend
- Create a temporary test profile
- Run tests
- Interpret results
- Clean up (optional)
What it can do on your machine
Read from SKILL.md and the folder at commit 67cf575. 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
Shell commands in SKILL.md call:
make
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Test Model loads about 1.3k tokens when it runs. Until then it costs about 159 tokens; SKILL.md has 508 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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 508 words (~1,281 tokens).
“This skill runs inference tests for a specific model on a specific backend. It creates a temporary test profile, regenerates fixtures, runs the tests, and cleans up.”
- name
- test-model
Files
Just SKILL.md in .claude/skills/test-model of Pipelex/pipelex.
Open the folder on GitHubat commit 67cf575
Compare with similar skills
Test Model 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 |
|---|---|---|---|---|---|---|
| Test Model this skillPipelex/pipelex | 939 | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.6k | — | ~2.5k | Automated safety check: Notes | MIT | |
| Openai Image Gentrpc-group/trpc-agent-go | 1.8k | 13 repos | ~843 | Automated safety check: Pass | Apache-2.0 | |
| Imagegentheowenyoung/home | 115 | 4 repos | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Image Generationonyx-dot-app/onyx | 32k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence |
Similar skills
GPT Image Generation CLI
wuyoscar/GPT-Image2-Skill
Generates and edits images with GPT Image 2 or 2.5 through a packaged CLI and a prompt gallery, after settling which model fits the request.
Openai Image Gen
trpc-group/trpc-agent-go
Batch-generate images via OpenAI Images API. An agent skill from trpc-group/trpc-agent-go.
Imagegen
theowenyoung/home
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts.
Image Generation
onyx-dot-app/onyx
Generate or edit raster images (photos, illustrations, textures, sprites, mockups, logos, infographics) using the workspace's configured image-generation provider via onyx-cli image.
BlockRun Image Generation
BlockRunAI/ClawRouter
Generates or edits images through ClawRouter's local image API, with a choice of models and sizes and payment handled automatically through x402.
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Related
Works with
Categories
Questions about Test Model
What does Test Model do?
Test an AI model on a specific backend using the Pipelex inference test infrastructure. Test Model is an agent skill from Pipelex/pipelex. Test an AI model on a specific backend using the Pipelex inference test infrastructure.
When should I use Test Model?
Test Model fits situations like: the user says test model X; test gpt-5.4 on openai; test model on anthropic; run inference test for model.
How do I install Test Model in Claude Code?
Run `npx skills add Pipelex/pipelex --skill test-model -a claude-code`. Or copy the skill folder (.claude/skills/test-model in Pipelex/pipelex) into .claude/skills/test-model in your project. Claude Code loads it when a task matches its description.
How do I install Test Model in Codex?
Run `npx skills add Pipelex/pipelex --skill test-model -a codex`. Or copy the skill folder (.claude/skills/test-model in Pipelex/pipelex) into .agents/skills/test-model in your project. Codex loads it when a task matches its description.
Can I use Test Model 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 Pipelex/pipelex --skill test-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-model, .gemini/skills/test-model, .github/skills/test-model and .opencode/skills/test-model in your project.
What does Test Model need to run?
Going by SKILL.md and its folder, Test Model needs the command-line tools its instructions call (make).
Does Test Model access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Test Model 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. Review the folder before installing.
What licence does Test Model use?
Test Model has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Test Model use?
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Test Model?
Skills that share tags, products or a category with Test Model: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), GPT Image Generation CLI (wuyoscar/GPT-Image2-Skill, 5.6k stars), Openai Image Gen (trpc-group/trpc-agent-go, 1.8k stars) and Imagegen (theowenyoung/home, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Test Model?
Pipelex (a GitHub organization) maintains it in Pipelex/pipelex, which has 939 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 6, 2026.
Source: Pipelex/pipelex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.