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在 OpenClaw 中安装
/install ocr-local-hardened
功能描述
Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English.
安全使用建议
This skill is internally consistent and appears safe for local OCR use. Before installing, note: (1) Node and tesseract.js are required; run npm install or let your package manager install tesseract.js. (2) The first run will typically download Tesseract language data (~20MB per language) from the network unless you pre-cache traineddata — if you need fully offline use, pre-provision those files. (3) The skill warns and enforces guardrails: do not OCR remote URLs via the skill and do not transmit OCR output to external endpoints; outputs may contain secrets. (4) If you have strong security requirements, inspect the tesseract.js dependency source and the traineddata download host(s) to ensure they meet your policies. Otherwise this skill is coherent with its stated purpose.
功能分析
Type: OpenClaw Skill
Name: ocr-local-hardened
Version: 1.0.0
The skill is a local OCR tool using the legitimate Tesseract.js library. The 'hardened' aspect refers to defensive prompt instructions in SKILL.md and SAFETY.md designed to prevent the AI agent from being coerced into exfiltrating data or performing SSRF. The core logic in scripts/ocr.js is minimal, well-documented, and contains no malicious functionality or suspicious network activity beyond the documented download of language data.
能力标签
能力评估
Purpose & Capability
Name/description, package.json, SKILL.md, and scripts/ocr.js all align: the skill uses Node + tesseract.js to OCR local image files and supports Chinese/English. One caveat: although marketed as "100% local," SKILL.md and typical Tesseract.js behavior note that language traineddata (~20MB per language) is downloaded on first run — so an initial network download is expected unless the traineddata are pre-cached. This is a documented behavior, not inconsistent, but users expecting a fully offline install should be aware of it.
Instruction Scope
The runtime instructions and the script operate only on a user-specified local image path, accept language and --json flags, and output text/JSON to stdout. SKILL.md explicitly forbids fetching remote images and network exfiltration and the code does not perform network calls or read unrelated files or environment variables.
Install Mechanism
There is no risky download/install spec in the registry metadata; dependencies are standard (tesseract.js via npm) and package.json declares that dependency. Nothing is pulled from obscure URLs or extracted from archives by the skill itself.
Credentials
The skill requests no environment variables or credentials and does not declare any config paths. The scope of access (reading a user-specified local image file) is proportional to the stated purpose.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent privileges. It does not attempt to modify other skills or system-wide configuration.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ocr-local-hardened - 安装完成后，直接呼叫该 Skill 的名称或使用
/ocr-local-hardened触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release: Extract text from images locally using Tesseract.js, with no API key required.
- Supports Chinese (simplified/traditional) and English language recognition.
- Offers command-line options for language selection and JSON/text output.
- Includes security guardrails: no remote fetching, no network transmission of output, and strict credential redaction.
- Language data is downloaded on first run and cached for efficiency.
元数据
常见问题
Ocr Local Hardened 是什么？
Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 46 次。
如何安装 Ocr Local Hardened？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ocr-local-hardened」即可一键安装，无需额外配置。
Ocr Local Hardened 是免费的吗？
是的，Ocr Local Hardened 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ocr Local Hardened 支持哪些平台？
Ocr Local Hardened 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Ocr Local Hardened？
由 Faberlens（@snazar-faberlens）开发并维护，当前版本 v1.0.0。
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