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在 OpenClaw 中安装
/install signus-signature-generator
功能描述
Generate signature images via the Signus API and return image files for chat delivery. Use when asked for signature generation through Signus API.
安全使用建议
This skill appears internally consistent: it needs Node.js, runs a bundled JS script, calls only https://api.signus.ai, and writes generated images into ~/.openclaw/media/signatures-font/. Before installing, verify you trust api.signus.ai and that running 'npm install' in the skill folder is acceptable in your environment. Because the registry didn’t include an automated install spec, the SKILL.md expects you (or your runtime) to run npm install — review package-lock.json and adm-zip's provenance if you require stricter supply-chain controls. Don’t send secrets in the JSON payloads; the skill does not handle Authorization headers, so if your deployment requires auth you should update the design rather than embedding credentials in inputs. Finally, if you want extra caution, run this skill in a restricted runtime/container since it performs network I/O and writes files to your home directory.
功能分析
Type: OpenClaw Skill
Name: signus-signature-generator
Version: 1.0.2
The skill is designed to generate signature images via the Signus API (api.signus.ai). The core logic in scripts/generate_font_signatures.js handles API requests, ZIP extraction using the adm-zip library, and image downloads without any evidence of data exfiltration, shell execution, or unauthorized access to sensitive system files.
能力评估
Purpose & Capability
Name/description match the included code and runtime instructions: the JS script POSTs to api.signus.ai, downloads image artifacts, and writes them to a media directory. No unrelated third-party services or credentials are requested.
Instruction Scope
SKILL.md clearly confines actions to preparing a Node.js runtime, invoking the bundled script, calling fixed Signus endpoints, extracting archives, and writing images under ~/.openclaw/media/signatures-font/. One operational note: the registry entry lists no install spec but the SKILL.md requires running 'npm install' in the skill folder before first run; this is a functional mismatch (not necessarily malicious) and means the skill will install adm-zip at runtime.
Install Mechanism
No automated installer in registry; dependencies are standard npm packages (adm-zip) pulled from the public npm registry as declared in package-lock.json. No downloads from unknown domains, no URL shorteners or extraction of remote archives beyond the expected ZIP responses from the Signus API.
Credentials
The skill declares and uses no environment variables or credentials. The code does read the user's home directory (to create an output folder) which is proportional to saving generated images. There are no requests for unrelated secrets or config paths.
Persistence & Privilege
Skill does not request always:true and has no special persistence behavior. It creates only its own media folder under the user's home and 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 signus-signature-generator - 安装完成后，直接呼叫该 Skill 的名称或使用
/signus-signature-generator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
v1.0.2
Update SKILL.md
v1.0.1
Update ClawHub description wording
v1.0.0
Initial release: generate signature images via Signus API and return image files for chat delivery
元数据
常见问题
Signus Signature Generator 是什么？
Generate signature images via the Signus API and return image files for chat delivery. Use when asked for signature generation through Signus API. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 183 次。
如何安装 Signus Signature Generator？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install signus-signature-generator」即可一键安装，无需额外配置。
Signus Signature Generator 是免费的吗？
是的，Signus Signature Generator 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Signus Signature Generator 支持哪些平台？
Signus Signature Generator 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 Signus Signature Generator？
由 signus-ai（@signus-ai）开发并维护，当前版本 v1.0.2。
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