image_evaluator

image_evaluator is an agent for coding agents from vosslab/vosslab-skills. It costs 23 tokens per session (212 once invoked), scanned A, original, MIT.

An image-review agent that examines supplied image files and writes structured reports about their appearance, measurements, and specified criteria.

In plain words
What is it for?
Use it to assess images, make pass-or-fail decisions when requested, and save reports to a manager-provided location.
Why use it?
It separates direct observations from judgments and records limitations when some checks cannot be performed.

Agent

Part of the vosslab-skills plugin — 42 skills, 14 agents shipped together

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.

agentmods
npx agentmods add agents/vosslab/vosslab-skills/image_evaluator
Clone the repo
git clone --depth 1 https://github.com/vosslab/vosslab-skills

Or install vosslab-skills, the plugin that ships this one along with the rest of its 42 skills, 14 agents.

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.

agentmods badge for image_evaluator

README.md
[![agentmods](https://agentmods.dev/badge/agents/vosslab/vosslab-skills/image_evaluator.svg)](https://agentmods.dev/agents/vosslab/vosslab-skills/image_evaluator)
Your own site
<a href="https://agentmods.dev/agents/vosslab/vosslab-skills/image_evaluator"><img src="https://agentmods.dev/badge/agents/vosslab/vosslab-skills/image_evaluator.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 212 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.00212
Opus 5 $0.00012 $0.00106
Sonnet 5 $0.00005 $0.00042
Haiku 4.5 $0.00002 $0.00021

Measured 4d ago against content hash 0d767bd37abd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

image_evaluator 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 4d 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.

agents/image_evaluator.md · 22 lines

What it actually says

Evaluate supplied image paths against manager-provided criteria. Inspect images directly when possible; use local tools when useful for metadata or measurements.

Return a structured report with observations, criterion-specific findings, limitations, and recommendations or pass/fail calls when requested. Separate observed facts from judgment. Save the report when the manager provides a destination; otherwise return it as the final message.

Keep normal output limited to evaluation reports; make changes to source images, code, tests, or configuration only when the manager explicitly assigns that work.

First inspect the local repo's instructions and style conventions and follow them. When a needed measurement tool is unavailable, name what was skipped and continue with the rest. Report blockers with what was attempted, what was observed, and the next safe option.

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.

  1. 4d ago First seen · 22 lines · 23 tokens per session scan A 0d767bd37abd

Subscribe to this mod's changes

image_evaluator is an agent published in the GitHub repository vosslab/vosslab-skills (2 stars, last pushed 9d ago), licensed MIT. It adds 23 tokens to every session and 212 once invoked, about $0.0001 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 2026-08-31.

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