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在 OpenClaw 中安装
/install sm-ocr-scanner
功能描述
Perform OCR on image files (jpg, png, bmp, gif, tiff) using the system's `tesseract` binary and return extracted plain text.
安全使用建议
Before installing or running this skill: (1) Understand which script you'll use — scripts/ocr.sh runs local tesseract/pdftoppm and does not contact remote services; scripts/example.py will upload images to api.ocr.space using a demo API key. (2) If you only want local OCR, avoid running example.py or inspect/disable it. (3) Verify the required binaries are present (tesseract, pdftoppm) and that you are comfortable granting the skill access to any image files you pass it. (4) Do not process sensitive images with the example.py uploader unless you accept that the image will be sent to a third‑party service. (5) Consider removing or sandboxing the Python example if you want to eliminate unintended network exposure.
功能分析
Type: OpenClaw Skill
Name: sm-ocr-scanner
Version: 1.0.0
The skill provides legitimate OCR functionality using either a local Tesseract binary (via scripts/ocr.sh) or the OCR.space web API (via scripts/example.py). While the Python script sends image data to an external service, this is consistent with its stated purpose, and the documentation clearly identifies the API being used. No malicious behaviors, obfuscation, or prompt injection attempts were detected.
能力评估
Purpose & Capability
The skill's name and SKILL.md describe a local tesseract OCR wrapper, which matches scripts/ocr.sh (uses tesseract and pdftoppm). However the package also includes scripts/example.py that calls the external OCR.space API (network I/O) using a hardcoded demo key; this external-call capability is not documented or declared in the SKILL.md or registry metadata. Also the metadata claims no required binaries while the wrapper requires tesseract and pdftoppm — an omission that reduces transparency.
Instruction Scope
SKILL.md instructs running the local Bash wrapper (ocr.sh) only; it does not mention the example Python script that will POST images to an external service. The Python example will read local image files and transmit them to api.ocr.space (possible data exfiltration) — this network behavior is not disclosed in the runtime instructions.
Install Mechanism
There is no install spec (instruction-only); nothing is automatically downloaded or installed. The risk from install mechanisms is low because no archive downloads or package installs are specified.
Credentials
The skill requests no environment variables or credentials. The included example script contains a hardcoded public demo API key ('helloworld') for ocr.space — not a secret, but it means the example may rely on an external service. No other credentials are present or requested.
Persistence & Privilege
The skill is not always-enabled and is user-invocable; it does not request elevated privileges or try to modify other skills or global agent settings.
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 sm-ocr-scanner - 安装完成后，直接呼叫该 Skill 的名称或使用
/sm-ocr-scanner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 of sm-ocr-scanner.
- Provides an OCR tool that uses the system’s tesseract binary to extract plain text from image files (jpg, png, bmp, gif, tiff).
- Includes a ready-to-use Bash script for easy command-line usage.
- Default language set to English (`-l eng`), with instructions for adapting to other languages.
- Offers integration guidance for OpenClaw CLI via a shell alias.
- Replaces a non-functional placeholder with a fully working skill.
元数据
常见问题
Sm Ocr Scanner 是什么？
Perform OCR on image files (jpg, png, bmp, gif, tiff) using the system's `tesseract` binary and return extracted plain text. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 132 次。
如何安装 Sm Ocr Scanner？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sm-ocr-scanner」即可一键安装，无需额外配置。
Sm Ocr Scanner 是免费的吗？
是的，Sm Ocr Scanner 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Sm Ocr Scanner 支持哪些平台？
Sm Ocr Scanner 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 Sm Ocr Scanner？
由 kaarl92（@kaarl92）开发并维护，当前版本 v1.0.0。
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