Borrowing it
Nothing to install: this file belongs to good-boy4069/Deepseek-omnimodal. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/good-boy4069/Deepseek-omnimodal/main/CLAUDE.mdgit clone --depth 1 https://github.com/good-boy4069/Deepseek-omnimodalWrote 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.
[](https://agentmods.dev/instructions/good-boy4069/deepseek-omnimodal/claude-md)<a href="https://agentmods.dev/instructions/good-boy4069/deepseek-omnimodal/claude-md"><img src="https://agentmods.dev/badge/instructions/good-boy4069/deepseek-omnimodal/claude-md/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.
<a href="https://agentmods.dev/instructions/good-boy4069/deepseek-omnimodal/claude-md"><img src="https://agentmods.dev/badge/instructions/good-boy4069/deepseek-omnimodal/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00495 | $0.00495 |
| Opus 5 | $0.00247 | $0.00247 |
| Sonnet 5 | $0.00099 | $0.00099 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
Deepseek-omnimodal CLAUDE.md 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 10d 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.
What it actually says
Omnimodal
主模型是纯文本模型时，遇到图片、视频、音频或生成任务，必须自动使用 omnimodal 插件，不要自行假设媒体内容。
识别
- 图片：
omnimodal_recognize_image(image, task, mode)。 - 视频：
omnimodal_recognize_video(video, task, mode)。 - 音频：
omnimodal_recognize_audio(audio, task, mode)；长音频会自动转写。 - 多文件：
omnimodal_recognize_images_batch、omnimodal_recognize_videos_batch、omnimodal_recognize_audios_batch。 - 剪贴板图片：
omnimodal_read_clipboard_image(task, mode)。 - 拖拽媒体：
omnimodal_read_dragged_image/omnimodal_read_dragged_video/omnimodal_read_dragged_audio，只适用于会落盘的客户端。 - 网页：先
omnimodal_capture_page(...)，再把截图交给批量识别。 - Windows：先
omnimodal_list_windows()，再omnimodal_capture_windows(...)，把 PNG 交给批量识别。
生成
omnimodal_generate_image、omnimodal_generate_video、omnimodal_generate_video_from_image、omnimodal_edit_video、omnimodal_generate_audio。- 生成工具必须设置
confirm=true才会实际调用付费接口；否则只返回预计费用。 - 生成完成后直接返回结果路径，不要自动再调用识别工具验证；除非用户明确要求检查生成结果。
- 异步任务可用
omnimodal_get_task_result(task_id)查询。
Claude 桌面端
Claude 桌面端跨窗口拖入的媒体不落盘。处理顺序：
- 图片：复制进剪贴板后调用
omnimodal_read_clipboard_image。 - 其他媒体或剪贴板不可用：请用户保存为文件后提供明确路径。
- 禁止自行扫描
Temp、按时间戳猜文件，或输出“很可能/可能是你刚粘贴的图片”。
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.
- 10d ago First seen · 30 lines · 495 tokens per session scan A 1bf152528d99
Deepseek-omnimodal CLAUDE.md is an instructions file published in the GitHub repository good-boy4069/Deepseek-omnimodal (4 stars, last pushed 24d ago), licensed MIT. It adds 495 tokens to every session, about $0.0025 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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