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在 OpenClaw 中安装
/install openclaw-dashscope-kimi2-5-vision
功能描述
使用 Kimi K2.5 识别图片，专为阿里百炼 GLM 用户设计。自动从 OpenClaw 配置读取 API Key。当模型返回"no media-understanding provider"或用户要求图片分析时触发。
安全使用建议
This skill appears to do what it says: it reads a DashScope API key (from env or ~/.openclaw/openclaw.json), encodes your image, and uploads it to the DashScope endpoint for analysis. Before installing/running: (1) confirm you trust the DashScope endpoint (https://coding.dashscope.aliyuncs.com) because your images will be sent there; (2) check ~/.openclaw/openclaw.json and any files under ~/.openclaw for sensitive data you don't want read; (3) be aware the SKILL.md mentions caching the key but the script reads a cache file without writing one — if you want persistent caching, you'll need to add the key to ~/.openclaw/.env yourself. If any of these behaviours are unacceptable, do not install or run the script.
功能分析
Type: OpenClaw Skill
Name: openclaw-dashscope-kimi2-5-vision
Version: 1.0.0
The skill is designed to provide image recognition capabilities by interfacing with the Alibaba DashScope API. It retrieves API keys from standard OpenClaw configuration files (~/.openclaw/openclaw.json) and environment variables to facilitate seamless integration, and it sends data only to the official Alibaba endpoint (dashscope.aliyuncs.com). No evidence of data exfiltration to third parties, malicious execution, or unauthorized persistence was found in scripts/recognize.py or SKILL.md.
能力评估
Purpose & Capability
The name/description (Kimi K2.5 image recognition for Ali Bailian / DashScope) matches the code: the script encodes an image and posts it to a DashScope API using a 'DASHSCOPE_API_KEY'. The SKILL metadata declared no required env vars, which is acceptable because the key is optional and auto-detected. Minor inconsistency: SKILL.md says the script 'will cache' the key for next runs, but the script reads a cache file (~/.openclaw/.kimi_vision_key_cached) without ever writing to it.
Instruction Scope
SKILL.md and the script stay on-scope: they explain how to run the script, where the script searches for API keys (~/.openclaw/openclaw.json, env var, cache), and how to persist a key to ~/.openclaw/.env. Important runtime behavior: the script base64-encodes the entire image and sends it to the external DashScope API endpoint, which is expected for image recognition but means user images are transmitted off-machine.
Install Mechanism
Instruction-only skill with a single Python script and no install spec — nothing is downloaded or installed during skill setup.
Credentials
The only credential used is DASHSCOPE_API_KEY (located optionally in env or OpenClaw config); this is proportional to the stated purpose. Note: the skill will read ~/.openclaw/openclaw.json and optionally a cache file; users should ensure those files do not contain unrelated secrets they don't want read by the script. The script transmits image data to the listed external API (dashscope) — appropriate for functionality but privacy-relevant.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not perform any privileged system modifications. It suggests the user persist their API key to ~/.openclaw/.env (a user action).
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 openclaw-dashscope-kimi2-5-vision - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-dashscope-kimi2-5-vision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 — provides image recognition for Ali Bailian GLM users via Kimi K2.5.
- Enables automatic image analysis when requested or when model replies with “no media-understanding provider.”
- Detects and reuses existing API Keys from multiple locations; caches keys for future runs.
- Simple CLI tool for image recognition with optional custom prompts.
- Provides clear instructions for setup and troubleshooting missing API Keys.
元数据
常见问题
Kimi K2.5 Vision 是什么？
使用 Kimi K2.5 识别图片，专为阿里百炼 GLM 用户设计。自动从 OpenClaw 配置读取 API Key。当模型返回"no media-understanding provider"或用户要求图片分析时触发。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 145 次。
如何安装 Kimi K2.5 Vision？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-dashscope-kimi2-5-vision」即可一键安装，无需额外配置。
Kimi K2.5 Vision 是免费的吗？
是的，Kimi K2.5 Vision 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Kimi K2.5 Vision 支持哪些平台？
Kimi K2.5 Vision 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 Kimi K2.5 Vision？
由 flowstart（@flowstart）开发并维护，当前版本 v1.0.0。
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