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Bus Ticket Ocr
作者
SCNet-sugon
· GitHub ↗
· v1.0.3
· MIT-0
106
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install bus-ticket-ocr
功能描述
支持识别汽车票票据。
使用说明 (SKILL.md)
\r
Sugon-Scnet 汽车票识别 OCR 技能\r
\r 本技能封装了 Sugon-Scnet 汽车票识别 OCR 服务,通过单一接口即可调用 1 种识别能力,高效提取文字及票据信息。\r \r
功能特性\r
\r
- 汽车票据:覆盖汽车票识别,自动提取关键字段。\r \r
前置配置\r
\r
⚠️ 重要:使用前需要申请 Scnet API Token\r \r
申请 API Token\r
\r
- 访问 Scnet 官网 注册/登录\r
- 在控制台申请 API 密钥(格式:
sc-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)\r - 复制密钥备用\r \r
配置 Token\r
\r 手动配置(推荐)\r
- 在技能目录下创建
config/.env文件,内容如下:\r
# ===== Sugon-Scnet OCR API 配置 =====\r
# 申请地址:https://www.scnet.cn\r
SCNET_API_KEY=your_scnet_api_key_here\r
\r
# API 基础地址(一般无需修改)\r
SCNET_API_BASE=https://api.scnet.cn/api/llm/v1\r
```\r
2. 添加:`SCNET_API_KEY=你的密钥`\r
3. 设置文件权限为 600(仅所有者可读写)\r
**⚠️ 安全警告**:切勿将 API Key 直接粘贴到聊天对话中,否则可能被记录或泄露。\r
\r
\r
### Token 更新\r
\r
Token 过期后调用会返回 401 或 403 错误。更新方法:重新申请 Token 并替换 config/.env 中的 SCNET_API_KEY。\r
### 依赖安装\r
\r
本技能需要 Python 3.6+ 和 requests 库。请运行以下命令:\r
\r
```bash\r
pip install requests\r
```\r
\r
---\r
### 使用方法\r
\r
### 参数说明\r
\r
| 参数名 | 类型 | 必填 | 描述 |\r
|--------|------|------|------|\r
| ocrType | string | 是 | 识别类型枚举。必须为以下之一:\x3Cbr>• BUS_TICKET(汽车票) |\r
| filePath | string | 是 | 待识别图片的本地绝对路径。支持 jpg、png、pdf 等常见格式。 |\r
\r
### 命令行调用示例\r
\r
```bash\r
python .claude/skills/bus_ticket_ocr/scripts/main.py BUS_TICKET /path/to/invoice.jpg\r
```\r
\r
### 在 AI 对话中使用\r
\r
用户可以说:\r
\r
- “帮我识别这张汽车票,图片在 /Users/name/Downloads/id.jpg”\r
\r
AI 会根据 description 中的关键词自动触发本技能。\r
\r
### AI 调用建议\r
为避免触发 API 速率限制(10 QPS),请串行调用本技能,即等待前一个识别完成后再发起下一个请求。\r
如果使用 OpenClaw 的 exec 工具,建议设置 timeout 或 yieldMs 参数,让命令同步执行,避免多个命令同时运行导致并发。\r
\r
### 配置选项\r
\r
编辑 `config/.env` 文件:\r
\r
| 变量名 | 默认值 | 说明 |\r
|--------|--------|------|\r
| SCNET_API_KEY | 必需 | Scnet API 密钥 |\r
| SCNET_API_BASE | https://api.scnet.cn/api/llm/v1 | API 基础地址(一般无需修改) |\r
\r
### 输出\r
\r
- 标准输出:识别结果的 JSON 数据,结构与 API 文档一致,位于 `data` 字段内。\r
- 识别结果位于 data[0].result[0].elements 中,具体字段取决于 ocrType。\r
- 错误信息:如果发生错误,会输出以 `错误:` 开头的友好提示。\r
\r
### 注意事项\r
\r
- 本技能调用的 OCR API 有 10 QPS 的速率限制。\r
- 如果遇到 429 错误,请等待 2-3 秒后重试,不要连续发起请求。\r
- 建议在调用前确保图片已准备就绪,避免因网络问题导致重复调用。\r
\r
### 故障排除\r
\r
| 问题 | 解决方案 |\r
|------|----------|\r
| 配置文件不存在 | 创建 config/.env 并填入 Token(参考前置配置) |\r
| API Key 无效/过期 | 重新申请 Token 并更新 `.env` 文件 |\r
| 文件不存在 | 检查提供的文件路径是否正确 |\r
| 网络连接失败 | 检查网络连接或防火墙设置 |\r
| 不支持的文件类型 | 确保文件扩展名为允许的类型(参考 API 文档) |\r
| 401/403/Unauthorized | Token 无效或过期,重新申请并配置 |\r
| 429 Too Many Requests | 请求过于频繁,技能会自动等待并重试(最多 3 次)。若持续失败,请降低调用频率或联系服务方提高限额。 |\r
\r
安全使用建议
This skill will send any image file path you provide to Scnet's OCR API and requires an SCNET_API_KEY. Before installing, verify you trust the Scnet service and are comfortable sending those images off-host (do not send sensitive personal data unless you accept that). Correct the metadata mismatch: the registry should declare SCNET_API_KEY as required so the platform can surface the credential prompt. Store the API key securely (use environment variable or config/.env with permissions 600 as recommended) and never paste it into chat. If you need to keep images local, do not use this skill; consider an offline OCR alternative. Finally, note the skill's homepage entry in skill.yaml appears to be a placeholder — if provenance matters, ask the publisher for an authoritative source repository or documentation.
功能分析
Type: OpenClaw Skill
Name: bus-ticket-ocr
Version: 1.0.3
The bus-ticket-ocr skill is a legitimate implementation for performing OCR on bus tickets using the Sugon-Scnet API. The Python script (scripts/main.py) follows standard practices for configuration loading, error handling, and API interaction, including a retry mechanism for rate limiting. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; notably, the documentation in SKILL.md includes proactive security warnings advising users not to share their API keys in chat sessions.
能力标签
能力评估
Purpose & Capability
The skill's name/description (bus ticket OCR) align with the included code and SKILL.md which call Scnet's OCR API. One inconsistency: the registry metadata at the top of the submission reported "Required env vars: none", but both SKILL.md, skill.yaml, and scripts/main.py require SCNET_API_KEY (and optionally SCNET_API_BASE). This discrepancy is likely a packaging/metadata error and should be corrected.
Instruction Scope
SKILL.md and the script limit actions to reading a local image file path supplied by the user, loading SCNET_API_KEY from env or config/.env, and POSTing the file to https://api.scnet.cn/api/llm/v1/ocr/recognize. The instructions and code do not attempt to read other system files or unrelated environment variables. Note: the skill will transmit the user-supplied image to an external API (Scnet) — this is expected for an OCR service but is a privacy consideration for sensitive images.
Install Mechanism
No install spec — the skill is instruction-only with an included Python script. Dependencies are minimal (python3, requests) and there is no remote download or archive extraction. This is low-risk from an install perspective.
Credentials
The only required credential is SCNET_API_KEY (plus optional SCNET_API_BASE). That is proportionate to the stated functionality. Again, the registry metadata incorrectly listed no required env vars while the skill actually requires SCNET_API_KEY; ensure the platform prompts for this credential before use.
Persistence & Privilege
The skill does not request permanent/always-on presence and does not modify other skills or system configuration. It runs as a normal invocable skill and only reads/writes within its own skill directory (reads config/.env if present).
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 bus-ticket-ocr - 安装完成后,直接呼叫该 Skill 的名称或使用
/bus-ticket-ocr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
v1.0.3
bus-ticket-ocr v1.0.3
- Added skill.yaml metadata file.
- SKILL.md now specifies required/optional environment variables, dependencies, and safer configuration steps.
- Improved documentation: clarified API key handling, installation requirements, and updated sample usage.
- Enhanced security guidance for API key management in configuration.
v1.0.1
bus-ticket-ocr 1.0.1
- No changes detected from the previous version.
- Version number updated only; functionality and documentation remain the same.
v0.1.0
Initial release with OCR support for bus tickets:
- Added OCR capability for extracting structured information from bus ticket images.
- Supports input parameters: ocrType and filePath.
- Outputs structured JSON with recognition results and confidence scores.
- Requires configuration of Scnet API Token via .env file.
- Handles common errors such as invalid API key, file not found, network issues, and rate limiting (10 QPS).
- Includes CLI and AI dialogue usage instructions.
元数据
常见问题
Bus Ticket Ocr 是什么?
支持识别汽车票票据。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 106 次。
如何安装 Bus Ticket Ocr?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install bus-ticket-ocr」即可一键安装,无需额外配置。
Bus Ticket Ocr 是免费的吗?
是的,Bus Ticket Ocr 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Bus Ticket Ocr 支持哪些平台?
Bus Ticket Ocr 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 Bus Ticket Ocr?
由 SCNet-sugon(@scnet-sugon)开发并维护,当前版本 v1.0.3。
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