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在 OpenClaw 中安装
/install stylepilot
功能描述
StylePilot 个人衣橱助手。用户拍照存储衣服信息,或询问穿搭搭配(今天穿什么/出行带什么)时激活。不要主动触发,只在用户明确表示需要穿搭建议时使用。 StylePilot is a personal wardrobe assistant. Activate only when the user expli...
安全使用建议
This skill appears to do exactly what it claims: a local-first wardrobe CLI that copies images into data/images/ and stores metadata in a local SQLite DB. Before installing, consider: 1) Where the agent will run — on your local machine this stores images and DB locally (check data/ permissions and backups); if the agent runs in a hosted/cloud environment, local-only claims may not protect your photos. 2) The run.sh entrypoint will execute the included Python scripts and will create/modify data/ and the DB (you can override the DB location with WARDROBE_DB_PATH). 3) Review the images you add—they are stored unencrypted by default. 4) If you want stronger privacy, run the code in an isolated environment or add encryption/access controls for data/wardrobe.db and data/images/. Finally, you can run the included tests locally (tests/*) to verify behavior before enabling the skill in an agent.
功能分析
Type: OpenClaw Skill
Name: style-pilot
Version: 1.0.1
The StylePilot skill bundle is a well-structured personal wardrobe assistant that operates entirely locally. A review of the Python scripts (wardrobe.py, db.py) and the bash wrapper (run.sh) shows no evidence of data exfiltration, network activity, or malicious execution. The code follows security best practices by using parameterized SQL queries to prevent injection, implementing file size and extension checks for image storage, and using MD5 hashing for filenames to prevent path traversal. The SKILL.md instructions are strictly focused on the stated purpose and do not contain any prompt-injection attacks or instructions to access sensitive system data.
能力评估
Purpose & Capability
Name/description (personal wardrobe assistant) match the code and SKILL.md: scripts implement local storage (data/wardrobe.db), image copying, outfit generation, and feedback. No unrelated credentials, binaries, or cloud services are requested.
Instruction Scope
SKILL.md instructs the agent to call the included CLI (run.sh / scripts/wardrobe.py) with explicit flags (scene, weather, days) and to store images under data/images/. The runtime steps (init, add, list, outfit, feedback) align with the script implementation. The instructions do not ask the agent to read unrelated system files or transmit data externally.
Install Mechanism
No install spec; this is an instruction-and-code-only skill. All code is included in the bundle (Python scripts + run.sh). No external downloads or package installs are performed by the skill itself.
Credentials
No required environment variables or credentials are declared. The only optional env var observed is WARDROBE_DB_PATH (used to override the DB path for tests), which is reasonable and documented. Requested filesystem access (data/ directory, images) is proportional to the stated purpose.
Persistence & Privilege
always:false and user-invocable. The skill stores data under a project-local data/ directory and uses a local SQLite DB; it does not modify other skills or request system-wide configuration. Autonomous invocation remains allowed by default but is not unusual and SKILL.md gives clear activation rules.
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 stylepilot - 安装完成后,直接呼叫该 Skill 的名称或使用
/stylepilot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
v1.0.1
Fix: 创建 images 目录,解决图片存储问题;Security: 增强文件操作和脚本执行安全性
v1.0.0
Initial release
元数据
常见问题
StylePilot 是什么?
StylePilot 个人衣橱助手。用户拍照存储衣服信息,或询问穿搭搭配(今天穿什么/出行带什么)时激活。不要主动触发,只在用户明确表示需要穿搭建议时使用。 StylePilot is a personal wardrobe assistant. Activate only when the user expli... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 134 次。
如何安装 StylePilot?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stylepilot」即可一键安装,无需额外配置。
StylePilot 是免费的吗?
是的,StylePilot 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
StylePilot 支持哪些平台?
StylePilot 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 StylePilot?
由 Mars YANG(@mars2003)开发并维护,当前版本 v1.0.1。
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