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Paddleocr Skills — DeepSeek Harness 插件(DSH Plugin)
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dsh-paddleocr-skills

Paddleocr Skills

PaddleOCR 文本识别和文档解析技能,支持原生 DeepSeek Harness 工具和 GUI 配置。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:Aidenwu0209/dsh-PaddleOCR-Skills#f5c86addb2d4e930a86658ba8cb2375010b48164
README兼容性版本

兼容性与来源证明

Paddleocr Skills 以 dsh-paddleocr-skills 发布,当前版本为 0.1.2。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
web
发布来源
github
Registry 更新时间
2026/9/2

版本

0.1.2stable
2026/9/2

相关插件

正在加载相关插件…

最新版
0.1.2
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
web
许可证
Apache-2.0
发布源
github
GitHub
★ 4
周下载
0
最近提交
2026/9/2
查看源码 ↗
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README

dsh-PaddleOCR-Skills

English | 简体中文

Source and adoption: This project is adapted from PaddleOCR-Skills, whose skills.sh listing has 4.3K+ installs across supported AI agents.

A native DeepSeek Harness bundle with two native tools, two skills, and a dedicated Settings → PaddleOCR GUI.

Included

  • paddleocr_text_recognition for image/PDF text extraction.
  • paddleocr_doc_parsing for layout, tables, Markdown, and document structure.
  • GUI fields for both endpoints, timeouts, uv, result storage, and a DSH Credential reference.
  • A visible, clickable PaddleOCR official website link, plus direct API-token and official-documentation links in the GUI.
  • Tokens stored through DSH Credentials and never returned to the browser.
  • Real-path workspace containment for local inputs.
  • Auditable raw JSON results under .dsh-paddleocr/results/ by default.

Install

Requires Node.js ^22.19.0 || >=24.0.0, DeepSeek Harness >=0.1.0-rc.6 <0.2.0, Python 3.9+, and uv. Exact disposable-profile install/start/uninstall results for the current DSH window are recorded in COMPATIBILITY.md.

One-prompt installation (easiest)

Copy the entire prompt below into a terminal-capable AI agent:

Install the DeepSeek Harness GUI plugin from https://github.com/Aidenwu0209/dsh-PaddleOCR-Skills on this computer.
1. Check Node.js 22.19+, Python 3.9+, npx, and uv. If something is missing, explain it and use its official installer. Do not use sudo or change unrelated settings without my permission.
2. Run: npx @deepseek-ai/dsh plugin --profile web add "github:Aidenwu0209/dsh-PaddleOCR-Skills#main"
3. Start npx @deepseek-ai/dsh web, wait for the actual local Web URL, and open it.
4. Verify that Settings → PaddleOCR exists and displays clickable links to https://www.paddleocr.com, the API-token page, and the official API documentation.
5. Do not invent, expose, or log my token. Stop at the credential fields and tell me exactly which HTTPS endpoints and token are still required.
6. Do not claim success until the plugin command succeeds, the Web URL responds, and the Settings panel is visible. Report the commands, versions, URL, and verification result.

From OpenClaw, install the repository-specific setup guide with:

openclaw skills install @aidenwu0209/dsh-paddleocr-skills-setup

This guides installation into DeepSeek Harness; it does not misrepresent the DSH bundle as an OpenClaw code plugin.

npx @deepseek-ai/dsh plugin --profile web add "github:Aidenwu0209/dsh-PaddleOCR-Skills#main"
npx @deepseek-ai/dsh web

Built lib/ artifacts are committed, so GitHub installation does not require dependency build-script approval.

Open Settings → PaddleOCR. The panel at the top links directly to the PaddleOCR website, the API-token page, and the official API documentation. Then enter the full HTTPS endpoints ending in /ocr and /layout-parsing, keep or change the default PADDLEOCR_ACCESS_TOKEN credential reference, enter the token, and save. Either endpoint may be left blank when only one tool is needed.

Data boundary

Remote tool calls send the selected local file bytes (base64) or HTTPS URL to the externally configured PaddleOCR service. Do not use the plugin for data that is not allowed to leave the workspace. OCR and document content is untrusted data and must never be followed as agent instructions.

The local same-origin GUI may set or remove the token but cannot read it. The host resolves the credential per operation and passes it only through an explicit managed-subprocess environment.

Development

pnpm install
pnpm check
python3 -m compileall -q skills
pnpm pack --dry-run

See UPSTREAM.md for provenance. Licensed under Apache-2.0.