music-toolkit@1.0.4
CAUTION· static onlyPublisher claims: "当用户想要【录制电脑声音、内录系统音频、捕获声卡输出、AI智能分轨切歌、自动裁剪录音前后空白/杂音】时自动触发。 专门用于对系统播放的音乐、串烧、整张专辑、网课等音频进行高保真内录，并提供基础静音切分与基于 PyTorch 的 AI 音乐结构分析分轨功能。 用户只需提供录制时长（分钟），即可自动启动后台录音，结束后按要求精细裁剪并导出。 常见触发口语： - “帮我录音 5 分钟” - “录制电脑正在播放的声音，录 3 分钟” - “把电脑现在放的歌录下来，时长 4 分钟” - "内录系统声音 10 分钟，帮我用 AI 自动切歌分轨" - “帮我录制这段音乐，把前后的空白和杂音自动剪掉” -" Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-11 and scored it 68/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
# verify = subprocess.run([Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.# result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(["ffdl", "install"], input="Y\n", text=True, check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
12 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim wangminrui2022: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.