agent-eyes

agent-eyes is a skill for Claude Code, Codex from majiayu000/claude-skill-registry. It costs 94 tokens per session (2,364 once invoked), scanned A, original, MIT.

A web-page inspection tool that gives an AI agent screenshots, accessibility results, page structure, and descriptions of page elements. Accessibility results show issues that may make a site harder for some people to use.

In plain words
What is it for?
Use it to inspect local or remote web pages, capture screenshots, review accessibility issues, examine the DOM, and describe page elements.
Why use it?
It helps an agent understand a web page visually and structurally instead of relying only on source code or text. Compact output also limits the amount of page detail returned.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run $SKILL_DIR/agent_eyes.py screenshot http://localhost:3000 --output ./tmp/page.png.

Good fit Use it to inspect local or remote web pages, capture screenshots, review accessibility issues, examine the DOM, and describe page elements.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/majiayu000/claude-skill-registry
agentmods
npx agentmods add skills/majiayu000/claude-skill-registry/agent-eyes-edrouhardmicrosoft-agent-canvas-skills

Made for: Claude Code, Codex.

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 agent-eyes

README.md
[![agentmods](https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-eyes-edrouhardmicrosoft-agent-canvas-skills/github.svg)](https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-eyes-edrouhardmicrosoft-agent-canvas-skills)
Your own site
<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-eyes-edrouhardmicrosoft-agent-canvas-skills"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-eyes-edrouhardmicrosoft-agent-canvas-skills/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.

agentmods 80×15 button for agent-eyes

Your own site · 80×15
<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-eyes-edrouhardmicrosoft-agent-canvas-skills"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-eyes-edrouhardmicrosoft-agent-canvas-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,364 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00094 $0.02364
Opus 5 $0.00047 $0.01182
Sonnet 5 $0.00019 $0.00473
Haiku 4.5 $0.00009 $0.00236

Measured 9d ago against content hash 2794260f8bc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agent-eyes 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 9d 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.

skills/agent/agent-eyes-edrouhardmicrosoft-agent-canvas-skills/SKILL.md · 286 lines

How it starts

The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Eyes

Visual context analyzer for web pages. Provides AI agents with the ability to "see" web applications through screenshots, accessibility scans, DOM snapshots, and element descriptions.

Prerequisites

  • Python 3.10+
  • uv package manager (recommended)
  • Playwright browsers installed: playwright install chromium

Compact Mode (Token-Efficient Output)

All commands support --compact / -c flag for token-efficient output:

Mode Screenshot DOM A11y Total Tokens
Standard Base64 inline depth=5, 20 children Full violations ~500K+
Compact File path only depth=3, 10 children Summary only ~3-5K

Use compact mode when context window size is a concern (which is most of the time).

# Compact context - reduces ~500K tokens to ~3-5K tokens
uv run $SKILL_DIR/agent_eyes.py context http://localhost:3000 --compact

# Compact screenshot - always saves to file, never returns base64
uv run $SKILL_DIR/agent_eyes.py screenshot http://localhost:3000 --compact

# Compact a11y - returns summary + top N issues only
uv run $SKILL_DIR/agent_eyes.py a11y http://localhost:3000 --compact

# Compact DOM - stricter limits on depth and children
uv run $SKILL_DIR/agent_eyes.py dom http://localhost:3000 --compact

Commands

All commands use uv run for automatic dependency management:

SKILL_DIR=".claude/skills/agent-eyes/scripts"

Screenshot

Capture full page or element screenshots:

# Full page screenshot (saves to .canvas/screenshots/)
uv run $SKILL_DIR/agent_eyes.py screenshot http://localhost:3000

# Element screenshot
uv run $SKILL_DIR/agent_eyes.py screenshot http://localhost:3000 --selector ".hero"

# Save to specific path
uv run $SKILL_DIR/agent_eyes.py screenshot http://localhost:3000 --output ./tmp/page.png

# Get as base64 (for inline context) - NOT recommended, use --compact instead
uv run $SKILL_DIR/agent_eyes.py screenshot http://localhost:3000 --base64

# RECOMMENDED: Compact mode - always saves to file, never returns base64
uv run $SKILL_DIR/agent_eyes.py screenshot http://localhost:3000 --compact

Read the full file on GitHub · 286 lines

Files

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.

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. 9d ago First seen · 286 lines · 94 tokens per session scan A 2794260f8bc8

Subscribe to this mod's changes

agent-eyes is a skill published in the GitHub repository majiayu000/claude-skill-registry (604 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 2,364 once invoked, about $0.0005 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 2026-09-03.

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