Diagram Design
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages.
Install Model Sample Image Export
$ npx skills add open-edge-platform/anomalib --skill model-sample-image-export -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-edge-platform/anomalib model-sample-image-export --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/open-edge-platform/anomalib.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/model-sample-image-export .claude/skills/model-sample-image-export && 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 "model-sample-image-export" agent skill from https://github.com/open-edge-platform/anomalib/tree/main/.agents/skills/model-sample-image-export into .claude/skills/model-sample-image-export/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-sample-image-export", 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/open-edge-platform/anomalib/tree/main/.agents/skills/model-sample-image-exportType 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 open-edge-platform/anomalib --skill model-sample-image-export -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-edge-platform/anomalib model-sample-image-export --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/anomalib.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/model-sample-image-export .agents/skills/model-sample-image-export && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "model-sample-image-export" agent skill from https://github.com/open-edge-platform/anomalib/tree/main/.agents/skills/model-sample-image-export into .agents/skills/model-sample-image-export/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-sample-image-export", 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 open-edge-platform/anomalib --skill model-sample-image-export -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-edge-platform/anomalib model-sample-image-export --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/anomalib.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/model-sample-image-export .cursor/skills/model-sample-image-export && 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 "model-sample-image-export" agent skill from https://github.com/open-edge-platform/anomalib/tree/main/.agents/skills/model-sample-image-export into .cursor/skills/model-sample-image-export/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-sample-image-export", 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/open-edge-platform/anomalib.git --path .agents/skills/model-sample-image-export--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 open-edge-platform/anomalib --skill model-sample-image-export -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-edge-platform/anomalib model-sample-image-export --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/anomalib.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/model-sample-image-export .gemini/skills/model-sample-image-export && 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 "model-sample-image-export" agent skill from https://github.com/open-edge-platform/anomalib/tree/main/.agents/skills/model-sample-image-export into .gemini/skills/model-sample-image-export/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-sample-image-export", 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 open-edge-platform/anomalib model-sample-image-exportInstalls 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 open-edge-platform/anomalib --skill model-sample-image-export -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-edge-platform/anomalib.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/model-sample-image-export .github/skills/model-sample-image-export && 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 "model-sample-image-export" agent skill from https://github.com/open-edge-platform/anomalib/tree/main/.agents/skills/model-sample-image-export into .github/skills/model-sample-image-export/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-sample-image-export", 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 open-edge-platform/anomalib --skill model-sample-image-export -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-edge-platform/anomalib model-sample-image-export --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/anomalib.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/model-sample-image-export .opencode/skills/model-sample-image-export && 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 "model-sample-image-export" agent skill from https://github.com/open-edge-platform/anomalib/tree/main/.agents/skills/model-sample-image-export into .opencode/skills/model-sample-image-export/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-sample-image-export", 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
model-sample-image-export- GitHub stars
- 6.2k
- Token cost
- ~874 tokens
- SKILL.md length
- 395 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages.
- Works in 7 steps: Identify candidate checkpoints/runs in… → Verify the run is complete enough to… → If verification fails, schedule a few… → …
- Model sample images are missing
- SKILL.md covers Scope, Request changes when, Required Source Quality and Required Workflow, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Model Sample Image Export is an agent skill from open-edge-platform/anomalib. Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages. Use when model sample images are missing, outdated, or suspected to be invalid.
Its SKILL.md is about 870 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 Development, covering Technical documentation. The repository describes itself as: An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference. The licence is Apache-2.0.
When your agent uses it
- Model sample images are missing
- Suspected to be invalid
Example prompts
- “/model-sample-image-export”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Identify candidate checkpoints/runs in results/.
- Verify the run is complete enough to trust.
- If verification fails, schedule a few runs to train the model on a few categories.
- Generate predictions from the checkpoint/run.
- Inspect output quality before publishing images.
- Save the selected images into docs/source/images//results/.
- Update README/docs references.
What it can do on your machine
Read from SKILL.md and the folder at commit 4807ef1. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Model Sample Image Export loads about 874 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 395 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
The full file from open-edge-platform/anomalib at commit 4807ef1, republished under its Apache-2.0 licence (© open-edge-platform). 395 words, ~874 tokens.
Download SKILL.mdSave it as
.claude/skills/model-sample-image-export/SKILL.md (or your agent's skills folder).- name
- model-sample-image-export
- description
- Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages. Use when model sample images are missing, outdated, or suspected to be invalid.
Model Sample Image Export
Use this skill to create or refresh sample-result images for model documentation.
Scope
This skill focuses on:
- selecting completed trained checkpoints or finished benchmark runs
- exporting prediction/sample images
- copying or saving them into
docs/source/images/<model>/results/ - updating README/docs sample-result references
- rejecting broken or misleading outputs
It does not own benchmark table maintenance. Use benchmark-and-docs-refresh for that.
Request changes when
- sample images come from incomplete or untrusted runs;
- published outputs are clearly degenerate or misleading;
- README or docs references point to missing image files;
- the docs surface implies three valid examples when fewer trustworthy outputs exist.
Required Source Quality
Only use sample images from:
- completed trained checkpoints
- completed benchmark runs with valid prediction outputs
- finished model outputs that can be traced back to a real run artifact
- if no suitable completed checkpoint, benchmark output, or other traceable run artifact exists, schedule a few runs to generate trustworthy sample images
Do not use:
- incomplete runs
- partially written checkpoints
- outputs with empty/degenerate masks
- outputs driven by NaNs or obviously broken predictions
Required Workflow
- Identify candidate checkpoints/runs in
results/. - Verify the run is complete enough to trust.
- If verification fails, schedule a few runs to train the model on a few categories.
- Generate predictions from the checkpoint/run.
- Inspect output quality before publishing images.
- Save the selected images into
docs/source/images/<model>/results/. - Update README/docs references.
Show full SKILL.md (168 more words)Show less
Preferred Output Layout
docs/source/images/<model>/results/0.pngdocs/source/images/<model>/results/1.pngdocs/source/images/<model>/results/2.png
If you have fewer than 3 trustworthy images, train the model on a few more categories to generate more sample images.
README Update Pattern
Preferred pattern:
### Sample Results
Repeat for additional images.
Docs Update Pattern
Preferred docs-page pattern:
## Sample Results
```{eval-rst}
.. image:: ../../../../../images/<model>/results/0.png
```Validation Rules
Before publishing an image:
- Check that the referenced file exists.
- Check that the image is visually plausible.
- Check that the mask/anomaly region is not obviously wrong.
- Check that the sample came from a trained or otherwise valid completed run.
- If a model/category output is degenerate, exclude it and say so explicitly.
Reviewer checklist
- Check run completeness.
- Check image quality.
- Check exported file existence.
- Check README and docs references.
Repo-Specific Notes
- In this repo, some completed checkpoints can still produce bad masks.
- If generic visualization helpers fail, derive a narrow exporter for the specific model/run.
- Keep exporter scripts focused and traceable to the chosen checkpoints.
- When in doubt, prefer fewer trustworthy sample images over a full set of misleading ones.
© open-edge-platform, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/model-sample-image-export of open-edge-platform/anomalib.
Open the folder on GitHubat commit 4807ef1
Compare with similar skills
Model Sample Image Export 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 |
|---|---|---|---|---|---|---|
| Model Sample Image Export this skillopen-edge-platform/anomalib | 6.2k | — | ~874 | Automated safety check: Pass | Apache-2.0 | |
| Diagram Designcathrynlavery/diagram-design | 44k | 1 repos | ~7.5k | Automated safety check: Pass | MIT | |
| Simple Englishmoeru-ai/airi | 50k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Get API Docs with chubandrewyng/context-hub | 14k | 2 repos | ~775 | Automated safety check: Pass | MIT | |
| Doc SyncJetBrains/ideavim | 10k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Mailspring App ScreenshotsFoundry376/Mailspring | 18k | — | ~1.4k | Automated safety check: Pass | GPL-3.0 |
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Related
Categories
Questions about Model Sample Image Export
What does Model Sample Image Export do?
Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages. Model Sample Image Export is an agent skill from open-edge-platform/anomalib. Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages.
When should I use Model Sample Image Export?
Model Sample Image Export fits situations like: model sample images are missing; suspected to be invalid.
How do I install Model Sample Image Export in Claude Code?
Run `npx skills add open-edge-platform/anomalib --skill model-sample-image-export -a claude-code`. Or copy the skill folder (.agents/skills/model-sample-image-export in open-edge-platform/anomalib) into .claude/skills/model-sample-image-export in your project. Claude Code loads it when a task matches its description.
How do I install Model Sample Image Export in Codex?
Run `npx skills add open-edge-platform/anomalib --skill model-sample-image-export -a codex`. Or copy the skill folder (.agents/skills/model-sample-image-export in open-edge-platform/anomalib) into .agents/skills/model-sample-image-export in your project. Codex loads it when a task matches its description.
Can I use Model Sample Image Export 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 open-edge-platform/anomalib --skill model-sample-image-export -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-sample-image-export, .gemini/skills/model-sample-image-export, .github/skills/model-sample-image-export and .opencode/skills/model-sample-image-export in your project.
What does Model Sample Image Export need to run?
SKILL.md names no scripts, command-line tools or credentials: Model Sample Image Export is instructions for the agent only.
Does Model Sample Image Export 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 Model Sample Image Export 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 Model Sample Image Export use?
Model Sample Image Export is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Model Sample Image Export use?
About 874 tokens (SKILL.md is roughly 3.5k 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 Model Sample Image Export?
Skills that share tags, products or a category with Model Sample Image Export: Diagram Design (cathrynlavery/diagram-design, 44k stars), Simple English (moeru-ai/airi, 50k stars), Get API Docs with chub (andrewyng/context-hub, 14k stars) and Doc Sync (JetBrains/ideavim, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Model Sample Image Export?
open-edge-platform (a GitHub organization) maintains it in open-edge-platform/anomalib, which has 6,227 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 7, 2026.
Source: open-edge-platform/anomalib on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.