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在 OpenClaw 中安装
/install songsee-hardened
功能描述
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
安全使用建议
This skill appears coherent and limited to running the songsee CLI. Before installing: (1) verify the brew tap/source (steipete/tap) is the official maintainer you trust, since third‑party Homebrew formulas can execute install scripts; (2) confirm you want your agent to be allowed to invoke the skill autonomously (this is the platform default); (3) follow the embedded guardrails — do not pipe audio or generated images to network tools, avoid manual ffmpeg commands (let songsee handle conversion), and require explicit confirmation before processing files that look sensitive or very large; (4) ensure ffmpeg availability only if you need to decode non‑native formats locally. If you want extra assurance, inspect the upstream GitHub repo/formula and test the brew install in a controlled environment before enabling the skill broadly.
功能分析
Type: OpenClaw Skill
Name: songsee-hardened
Version: 1.0.0
The skill provides audio visualization capabilities using the songsee CLI tool. It includes extensive defensive instructions (guardrails) in SKILL.md and SAFETY.md designed to prevent the AI agent from exfiltrating data, misusing ffmpeg, or processing sensitive audio files without user confirmation. These instructions are clearly intended to harden the agent against potential prompt-injection attacks and misuse, and no malicious logic or suspicious indicators were found.
能力评估
Purpose & Capability
Name/description: generate spectrograms with songsee. Declared requirement is the songsee binary and the install uses a brew formula that provides that binary — everything requested is consistent with the stated purpose and nothing unrelated (cloud creds, extra binaries, or config paths) is required.
Instruction Scope
SKILL.md only instructs the agent to run songsee CLI commands and includes explicit security guardrails (no piping to network commands, avoid manual ffmpeg invocation, confirm on sensitive files or extreme parameters). It does not instruct reading unrelated files, using unrelated env vars, or sending data to external endpoints.
Install Mechanism
Install uses a Homebrew formula (steipete/tap/songsee) which is a standard low-risk mechanism; however, third-party brew taps and formulas should be verified (formula maintainer and repo) because install-time scripts can run during installation.
Credentials
The skill requests no environment variables, no credentials, and no config paths, which is proportional for a CLI wrapper that only needs the songsee binary.
Persistence & Privilege
always:false and no persistent configuration or cross-skill modifications are requested. The skill can be invoked by the agent (normal), but it does not request elevated or persistent privileges.
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 songsee-hardened - 安装完成后，直接呼叫该 Skill 的名称或使用
/songsee-hardened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
songsee-hardened 1.0.0
- Initial release: generate spectrograms and feature-panel visualizations from audio files using the songsee CLI.
- Supports processing of WAV/MP3 natively; other formats via ffmpeg if available.
- Includes flexible visualization options, time slicing, and customizable output settings.
- Stdin input supported for audio streams.
- Strengthened with security guardrails to keep visualizations and audio local, limit resource consumption, and safeguard sensitive audio content.
元数据
常见问题
Songsee Hardened 是什么？
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 83 次。
如何安装 Songsee Hardened？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install songsee-hardened」即可一键安装，无需额外配置。
Songsee Hardened 是免费的吗？
是的，Songsee Hardened 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Songsee Hardened 支持哪些平台？
Songsee Hardened 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 Songsee Hardened？
由 Faberlens（@snazar-faberlens）开发并维护，当前版本 v1.0.0。
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