image-analyzer
Skill56 starsChanged 3 months agoMITView on GitHub
Inspect supplied images with available vision tools for OCR, visual description, object inspection, layout review, comparison, and structured extraction.
In this repository34 other files it gives its agents.
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- docxSkill
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- finance-skillsSkill
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The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
When comparing images, use the same checklist for every image.
- Distinctive: line 35
Use the image viewer or native vision capability available in Codex, Hermes, or Claude.
- Distinctive: line 37
Use an external OCR or vision service only when the user approves it and the required credentials are already configured.
- Distinctive: line 42
Do not infer sensitive identity, health, ethnicity, or exact location without reliable evidence and a legitimate user request.
- Distinctive: line 44
Do not claim that an object, logo, person, or place is certain when the image only supports a tentative match.
- Distinctive: line 46
Never upload a private image to an external service without user approval.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Rylai Codex-Hermes-Claude Edition | Original portable workflow by Rylai
Image Analyzer
Analyze the supplied image itself before making claims.
Workflow
- Resolve the exact local file, attachment, or user-approved URL.
- Inspect the original resolution when small text, fine detail, or cropping matters.
- Match the analysis to the request: description, OCR, layout, objects, comparison, or extraction.
- Separate direct observations from interpretation and uncertainty.
- Preserve reading order for OCR and mark unreadable regions instead of guessing.
- For structured extraction, define the schema first and use
nullfor unavailable fields. - When comparing images, use the same checklist for every image.
- Return concise evidence and note any resolution or visibility limits.
Runtime Routes
- Use the image viewer or native vision capability available in Codex, Hermes, or Claude.
- Use an external OCR or vision service only when the user approves it and the required credentials are already configured.
Safety
- Do not infer sensitive identity, health, ethnicity, or exact location without reliable evidence and a legitimate user request.
- Do not claim that an object, logo, person, or place is certain when the image only supports a tentative match.
- Never upload a private image to an external service without user approval.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

