Star200+

Agent Vision Toolkit

STRONG · 79
Community indexed

给纯文本 LLM agent 装上眼睛：图片问答、OCR、截图分析、视觉定位等一套视觉工具箱 + skill，并可无缝接入 Codex、Claude Code、OpenCode、Pi ｜ Give text-only LLM agents vision: image Q&A, OCR, screenshot understanding, visual grounding, image-to-SVG - a vision toolkit & skill, with drop-in integration for Codex, Claude Code, OpenCode, Pi

Verified installs0
Stars321
Version1.0.0
Quality100/100 · Excellent
Trust79/100 · Review then install
Audit92/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add Anionex/agent-vision-toolkit

Maintenance

fresh

16d since push

Risk

Safe to try

Stars/forks activity: 321 stars, 14 forks; issue activity unavailable in current metadata

GitHub quality

321

100/100 Quality · 84/100 Trust

Coverage tags

CodingCoding agentsutilityagent-skillskill

Review notes

Stars/forks activity: 321 stars, 14 forks; issue activity unavailable in current metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
79

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
92

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

321 GitHub stars

Repo activity

321 stars, 14 forks

Maintenance

16d since push

License

MIT

Install

npx skills add Anionex/agent-vision-toolkit

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • Stars/forks activity: 321 stars, 14 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Navigate local resources

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add Anionex/agent-vision-toolkit
Policy
review
Human review
yes

Trust and risk

Trust
79/100
Audit
92/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add Anionex/agent-vision-toolkit
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • High-risk permission hints: Shell or command execution
  • Stars/forks activity: 321 stars, 14 forks; issue activity unavailable in current metadata

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Agent safety v2

64/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • Stars/forks activity: 321 stars, 14 forks; issue activity unavailable in current metadata

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install anionex-agent-vision-toolkit

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Agent%20Vision%20Toolkit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Agent%20Vision%20Toolkit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/anionex-agent-vision-toolkit/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Agent Vision Toolkit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Agent%20Vision%20Toolkit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/anionex-agent-vision-toolkit/install
Install command: npx skills add Anionex/agent-vision-toolkit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/anionex-agent-vision-toolkit/install

LLM text format

/api/skills/anionex-agent-vision-toolkit/install?format=text

Find alternatives

/api/skills/search?q=Agent%20Vision%20Toolkit&limit=3

Agent prompt

Use Agent Vision Toolkit for this task. Review https://www.openagentskill.com/api/skills/anionex-agent-vision-toolkit/install, then install with: npx skills add Anionex/agent-vision-toolkit

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/anionex-agent-vision-toolkit

LLM text

/api/registry/manifest/anionex-agent-vision-toolkit?format=text

Install alias

/api/registry/install/anionex-agent-vision-toolkit

Recommend

/api/registry/recommend?task=Use%20Agent%20Vision%20Toolkit%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Local desktop

Use-case tags

Local desktopCoding agentsMultimodal media

Platforms

Python, Claude Code, OpenAI Agents

Audit report

Safe to try · 92/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Local desktop

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Local desktop

Trust label

Production-ready

Install path

Command ready

Use when

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 17 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Local desktop task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

79
OpenAgentSkill Trust Score

GitHub adoption

INFO

321 GitHub stars

Stars/forks activity

CHECK

321 stars, 14 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

16d since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Stars/forks activity: 321 stars, 14 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
321
Freshness
16d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Operate local tools

Local desktop

I need my agent to operate local files and desktop apps in a repeatable workflow.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Process rich media

Multimodal media

I need my agent to process images, video, or audio and extract useful information.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Alternative shortlist

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Overview

<div align="center">

# agent-vision-toolkit

**What it thinks is what it sees — give any text-only coding agent eyes: image Q&A, OCR, screenshot understanding, visual grounding, and image-to-SVG, as a vision toolkit plus a skill, with optional drop-in integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode.**

🌐 [**中文**](README_CN.md) ｜ **English**

</div>

If your coding agent runs on a text-only model like DeepSeek V4, it can't look at images — screenshots, mockups, diagrams, and error dialogs are all dead ends. This repository gives it eyes in two layers:

1. **The toolkit** — four CLIs, plus a skill that teaches your agent when to reach for each one. Works in any agent with a shell. 2. **Seamless integration** *(optional upgrade)* — a transparent local proxy and single-file native extensions, so **pasted images and built-in image tools work too**, with no tool call and no extra prompting.

All code has been verified in real Codex + DeepSeek sessions, and the same pipeline has been live-verified end-to-end in Claude Code, Pi, Oh My Pi, and OpenCode. Use cases include but are not limited to: image Q&A, screenshot analysis, Computer Use GUI operation, and multi-step image reasoning.

> If this project helps you, feel free to star🌟 & follow～ I'll keep sharing more practical tools and tips.

## Real-world Effects

<p align="center"> <img src="assets/effect-3.jpg" alt="Multi-round image Q&A with the optional glance CLI" width="49%"> <img src="assets/effect-4.jpg" alt="DeepSeek V4 playing chess by locating screen elements with glance/ground" width="49%"> </p>

*Left: multi-round image Q&A with `glance`. Right: with `ground`, DeepSeek V4 locates screen elements to play chess autonomously.*

<p align="center"> <img src="assets/effect-1.jpg" alt="DeepSeek in Codex answering a style question about a UI screenshot" width="49%"> <img src="assets/effect-2.jpg" alt="DeepSeek in Codex debugging mismatched UI fields from a screenshot" width="49%"> </p>

*Left:

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Aug 5, 2026

Frameworks & tools

Python

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

recent repository activity

Audit

Install review

Install and adoption review

92
Safe to try
Security
84/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Agent Vision Toolkit, ready for a manual X post.

Curator note
Agent Vision Toolkit: 给纯文本 LLM agent 装上眼睛：图片问答、OCR、截图分析、视觉定位等一套视觉工具箱 + skill，并可无缝接入 Codex、Claude Code、OpenCode、Pi ｜...

321 stars

https://www.openagentskill.com/skills/anionex-agent-vision-toolkit?ref=x
Open X draft
Optional reply with install command
Listing + install path for Agent Vision Toolkit:
https://www.openagentskill.com/skills/anionex-agent-vision-toolkit?ref=x

Install: npx skills add Anionex/agent-vision-toolkit
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Anionex
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to Anionex but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/anionex-agent-vision-toolkit?metric=listed&label=Listed)](https://www.openagentskill.com/skills/anionex-agent-vision-toolkit)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/anionex-agent-vision-toolkit?metric=trust&label=Trust)](https://www.openagentskill.com/skills/anionex-agent-vision-toolkit)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/anionex-agent-vision-toolkit?metric=audit&label=Audit)](https://www.openagentskill.com/skills/anionex-agent-vision-toolkit/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/anionex-agent-vision-toolkit?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/anionex-agent-vision-toolkit)
Preview badge Open audit Creator kit

Author

A

Anionex✓

@anionex

Tags

agent-skillskillagentcoding-agentpython

Platform fit

Claude CodeOpenAI Agents

Health signals

GitHub stars
321
Quality score
63/100
Last GitHub push
Aug 6, 2026
Framework hints
1
OpenAgentSkill views
17
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

79
  • GitHub adoption321 GitHub starsINFO
  • Stars/forks activity321 stars, 14 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance16d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO

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InstallView on GitHub