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Expert skill for using DeepSeek-OCR, a vision-language model for optical character recognition with context optical compression supporting documents, PDFs, a...

媒体与内容

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 15 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :可疑 · OpenClaw :可疑

Package:adisinghstudent/deepseek-ocr

安全扫描(ClawHub)

  • VirusTotal :可疑
  • OpenClaw :可疑

OpenClaw 评估

The skill's instructions clearly describe running an OCR model and are coherent with the stated purpose, but the runtime guidance includes several actions that execute untrusted code (model repo code, downloaded wheels, and build-time scripts), so you should treat it as risky unless you vet sources and run it in isolation.

目的

Name/description match the provided instructions: cloning a DeepSeek-OCR repo, installing PyTorch/vLLM/transformers, downloading the model, and running inference are all consistent with an OCR model skill.

说明范围

Runtime instructions include commands that will execute code from external repos (git clone, pip install of a vllm wheel, pip install -r requirements.txt) and use transformers with trust_remote_code=True. Those steps allow arbitrary Python code from remote sources to run during model load/inference and are beyond simple 'read-only' OCR processing.

安装机制

Although the skill is instruction-only, the SKILL.md directs installing binaries/wheels from GitHub releases and a nightly wheel index; it also suggests installing flash-attn with --no-build-isolation. These measures require running code fetched from third-party URLs and building native extensions, which increases attack surface if the sources are untrusted.

证书

The registry lists no required credentials or config paths, which aligns with the skill. However, the instructions call snapshot_download and AutoModel.from_pretrained (trust_remote_code=True) — if the HuggingFace repo is private you may need an HF token; more importantly, model repos loaded with trust_remote_code can execute arbitrary code, which is a credential/execution-risk vector even without declared env vars.

持久

The skill does not request always:true, system-wide config changes, or persistent background privileges. It is instruction-only and does not declare permanent presence or modify other skills.

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「deepseek-ocr」。简介:Expert skill for using DeepSeek-OCR, a vision-language model for optical charac…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/adisinghstudent/deepseek-ocr/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

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