Grida is an open-source graphics workspace that combines an infinite canvas editor, SVG tools, a database and CMS, and forms. Designers and developers use it to create, import, render, and manage visual documents and connected data, while the catalogue add-ons support its workflows.
Borrowing it
Nothing to install: this file belongs to gridaco/grida. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gridaco/grida/main/.agents/skills/vision/SKILL.mdgit clone --depth 1 https://github.com/gridaco/gridaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gridaco/grida/vision)<a href="https://agentmods.dev/skills/gridaco/grida/vision"><img src="https://agentmods.dev/badge/skills/gridaco/grida/vision/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gridaco/grida/vision"><img src="https://agentmods.dev/badge/skills/gridaco/grida/vision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00132 | $0.01400 |
| Opus 5.5 | $0.00053 | $0.00560 |
| Sonnet 5.5 | $0.00026 | $0.00280 |
| Haiku 4.5 | $0.00013 | $0.00140 |
Grade A, and why
vision scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- vision — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vision — Local Image Querying via Ollama
Ask natural-language questions about images without passing them to the main agent as visual input. Useful for verifying screenshots, annotating assets, or building automated checks around visual output.
When to Use This Skill
- Describing a screenshot for a PR description or user-facing document
- Checking whether an automated browser run produced visible canvas content
- Asking "do any elements overlap?" on a rendered output
- Any question where the answer is in the pixels but you don't want to use vision tokens in the main context
Quick Reference
All commands use uv run — dependencies are installed automatically.
SCRIPT=.agents/skills/vision/scripts/ask.py
# health check (fast, no image, confirms Ollama + model respond)
uv run $SCRIPT --ping
# system info — memory, storage, installed models
uv run $SCRIPT --info
uv run $SCRIPT --memory
uv run $SCRIPT --storage
# describe an image (default prompt)
uv run $SCRIPT path/to/image.png
# explicit shortcut
uv run $SCRIPT path/to/image.png describe
# custom question
uv run $SCRIPT path/to/image.png \
--prompt "Do you see any overlapping UI elements?"
uv run $SCRIPT canvas.png \
--prompt "Does this canvas contain any designed content, or is it empty?"
# optional: pin a specific Gemma 4 tag (default is any installed gemma4)
uv run $SCRIPT image.png --model gemma4:e4b
# list installed Gemma 4 vision models
uv run $SCRIPT --list-models
Prerequisites
Ollama must be running locally. The script connects to http://localhost:11434
and fails immediately if it cannot reach it.
# start Ollama (if not already running)
ollama serve
# install Gemma 4 (multimodal — required for this skill)
ollama pull gemma4
The script does not install models. If Gemma 4 is not installed it prints
the list of installed models and a pull suggestion, then exits.
uv is required to run the script (handles dependency installation
automatically). No requirements.txt or manual pip install needed.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 165 lines · 132 tokens per session scan A bde1db6d4489
vision is a skill published in the GitHub repository gridaco/grida (2,693 stars, last pushed 11d ago), licensed Apache-2.0. It adds 132 tokens to every session and 1,400 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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