A remote image-questioning tool that sends pictures to a hosted vision-and-language model. It can answer yes-or-no questions or describe what appears in an image, without requiring a graphics processor.

Use it to describe scenes, check facts such as whether a drawer is open, or verify what appears in a camera frame. It supports OpenRouter by default and can be configured for Vertex AI Gemini.

It helps software check what a camera sees using ordinary image data, instead of relying only on fixed image-processing rules or running a model locally.

vlm — Skill for Claude Code by graph-robots

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add graph-robots/open-robot-skills --skill vlm

Clone the repo

git clone --depth 1 https://github.com/graph-robots/open-robot-skills

Made for: Claude Code.

Or install open-robot-skills, the plugin that ships this one along with the rest of its 15 skills.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/graph-robots/open-robot-skills/vlm.svg)](https://agentmods.dev/skills/graph-robots/open-robot-skills/vlm)

Your own site

<a href="https://agentmods.dev/skills/graph-robots/open-robot-skills/vlm"><img src="https://agentmods.dev/badge/skills/graph-robots/open-robot-skills/vlm.svg" alt="Measured on agentmods" height="20"></a>

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 761 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00064	$0.00761
Opus 5	$0.00032	$0.00380
Sonnet 5	$0.00013	$0.00152
Haiku 4.5	$0.00006	$0.00076

Measured 8d ago against content hash 34a50286d9f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

vlm 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (tools.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

tools/vlm/SKILL.md · 64 lines

What it actually says

vlm

API-backed vision-language Q&A. Zero GPU: every provider is a remote endpoint. Images are gap-native uint8 [H, W, 3] numpy arrays, PNG-encoded on the wire.

Providers

Selected by GAP_VLM_PROVIDER (default openrouter); each tool also accepts a per-call provider= override.

Provider	Backend	Config (env)
`openrouter`	OpenRouter's OpenAI-compatible chat-completions API	`OPENROUTER_API_KEY` (or `GAP_VLM_API_KEY`); `GAP_VLM_MODEL` (default `gemini-3.1-flash-lite-preview`, see `DEFAULT_MODEL` in `tools.py`); set `GAP_VLM_BASE_URL` to point at another OpenAI-compatible server (e.g. a local vLLM)
`vertex`	Vertex AI via google-genai (Gemini models)	`GAP_VLM_MODEL`, `GAP_VLM_PROJECT_ID`, `GAP_VLM_REGION`

The vertex provider lazy-imports google-genai — install the engine's vertex extra first: pip install "graph-as-policy[vertex]".

When to use

Semantic scene checks and checkpoint verification (vlm.query_yes_no).
Free-form scene descriptions or attribute queries (vlm.query).
Prefer gemini-er.detect when you need pixel-space bounding boxes, and molmo.point_prompt when you need a single click point.

Notes

vlm.query_yes_no coerces with the source-verbatim rule: answer is true iff "yes" appears in the lowercased reply.
Requests carry no system prompt and no temperature knob (mirrors the original vlm.v1 proto); both providers pin temperature: 0.0.

Files

What ships with it

4 files 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.

Changes

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.

8d ago First seen · 64 lines · 64 tokens per session scan A 34a50286d9f2

Subscribe to this mod's changes

vlm is a skill published in the GitHub repository graph-robots/open-robot-skills (39 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 761 once invoked, about $0.0003 per session on Opus 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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