see

see is a skill for Codex from oil-oil/see-skill. It costs 107 tokens per session (1,287 once invoked), scanned A, original, MIT.

An image-and-video viewing workflow for coding agents. It handles screenshots, photos, videos, and text found in them.

In plain words
What is it for?
Use it to read screenshots, extract text with OCR, compare images, inspect interfaces, or review video content.
Why use it?
It prevents the agent from incorrectly claiming it cannot view visual files. It also provides a defined way to inspect local files or URLs.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to read screenshots, extract text with OCR, compare images, inspect interfaces, or review video content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oil-oil/see-skill/see
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 oil-oil/see-skill --skill see
Clone the repo
git clone --depth 1 https://github.com/oil-oil/see-skill

Made for: 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 see

README.md
[![agentmods](https://agentmods.dev/badge/skills/oil-oil/see-skill/see/github.svg)](https://agentmods.dev/skills/oil-oil/see-skill/see)
Your own site
<a href="https://agentmods.dev/skills/oil-oil/see-skill/see"><img src="https://agentmods.dev/badge/skills/oil-oil/see-skill/see/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 see

Your own site · 80×15
<a href="https://agentmods.dev/skills/oil-oil/see-skill/see"><img src="https://agentmods.dev/badge/skills/oil-oil/see-skill/see.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,287 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 3
    Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.
    Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
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 $0.00107 $0.01287
Opus 5.5 $0.00043 $0.00515
Sonnet 5.5 $0.00021 $0.00257
Haiku 4.5 $0.00011 $0.00129

Measured 1mo ago against content hash 6da353bd35cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

see 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 1mo ago.

The scan reads SKILL.md. This mod also ships 22 executable files (scripts/credential-ui/public/app.js, scripts/credential-ui/src/cli.ts, scripts/credential-ui/src/config.ts, …), 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.

see/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

See

先检查已有附件、可读媒体路径和当前宿主的视觉能力。原生视觉足够时直接完成;需要外部视觉时,说明将发送哪些媒体给哪个服务,并继承当前任务已经给出的授权。缺少可读输入时才索取路径或 URL。

将当前 Skill 目录解析为绝对路径后调用 scripts/see.sh。外部服务或 OCR 均不可用时如实说明,不隐瞒限制,不把 OCR 文字结果称为完整视觉理解。

安装 Skill 不会更换当前主模型;界面继续显示原来的文本模型是正常的。拖拽或粘贴图片若被拒绝,说明附件在 Skill 启动前已被拦截。不要反复尝试直接读取附件。

首次使用,或用户反馈模型说了「不支持视觉」却没有调用 see 时,先运行:

python3 scripts/onboard.py --status

仅用户明确要求修改全局规则时,才使用 onboard.py --install-agents;它是可选的宿主适配,不是媒体分析的前置步骤。缺少配置时由安全入口收集凭据,不让用户把密钥发到对话。

# 单图
scripts/see.sh image.png

# 视频
scripts/see.sh video.mp4

# 多图并行
scripts/see.sh a.png b.png c.png

# 多图比较或联合判断
scripts/see.sh --together before.png after.png --task "比较界面变化"

# 可选关注点
scripts/see.sh screenshot.png --task "重点识别界面文字"

成功后读取 stdout 中 output_path=<path> 指向的 Markdown。

脚本自动完成:识别图片或视频 → 选择供应商 → 失败时切换供应商。图片无云端时降级到本地视觉;视频自动压缩后原生输入模型,不自行抽帧。多文件默认并行。

图片原图直传。视频按所选服务的模型配置处理;自动保留清晰度、音频和完整时间线。--task 原样发送;没有特殊问题时不要添加。

新配置按上述 API Key 配置说明打开本机页面,由用户亲自保存;选择的配置名、业务 --provider 必须对应。通过 run 包装云端分析命令,不能绕过包装器读取页面凭据。原 onboard 只用于兼容配置、状态或用户明确选择的终端方式。

供应商:zenmux、bailian、openrouter、tokendance、local。图片默认 Qwen3.7 Plus;视频在 ZenMux/OpenRouter 默认 Gemini 3.1 Flash-Lite,其余平台默认 Qwen3.7 Plus。覆盖视频模型用 SEE_VIDEO_MODEL。

也兼容厂商变量:ZENMUX_API_KEY、DASHSCOPE_API_KEY、OPENROUTER_API_KEY、TOKENDANCE_API_KEY。配置读取顺序为环境变量 → .env.local → 用户私有配置。

Windows 私有配置位于 %APPDATA%\see\config.env;macOS/Linux 位于 ~/.config/see/config.env。配置文件权限仅限当前用户,不得复制进 Skill 或项目仓库。

本地降级:

  • macOS:系统 Vision OCR;有 Swift 时增加场景/人物/人脸/条码/图形结构 → Tesseract
  • Windows:Windows OCR → Tesseract
  • Linux:Tesseract

本地后端报错时先运行 python3 scripts/onboard.py --status。macOS 10.15+ 不需要 Xcode;Windows 需要安装系统 OCR 语言;Linux 需要安装 Tesseract。

可选参数只在需要时使用:--together、--provider、--model、--task、--jobs、--ocr-backend。本地视觉结果不等同于多模态模型的完整语义理解。

视频需要任一云端 Key;同一个 Key 同时用于图片和视频。主 Agent 只传路径并读取 output_path,不要自行调用 ffmpeg、抽帧或上传。

API Key 配置入口

需要外部服务凭据时先读API Key 配置与业务读取:复用已有安全入口;本机缺少 Key 时使用随附固定页面,保存后通过业务包装入口读取。内置能力与纯本地流程不要求配置 Key。

Read the full file on GitHub · 72 lines

Files

What ships with it

40 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.

  1. 1mo ago Changed · +7 lines · -2 tokens per session scan B → A 6da353bd35cf
  2. 1mo ago First seen · 65 lines · 109 tokens per session scan B 8527c6305eaa

Subscribe to this mod's changes

see is a skill published in the GitHub repository oil-oil/see-skill (162 stars, last pushed 1mo ago), licensed MIT. It adds 107 tokens to every session and 1,287 once invoked, about $0.0004 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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