语音播报控制技能。将AI回复内容转换为语音朗读。触发方式:(1)用户说"朗读"时,自动将AI最后一条文字回复转为语音;(2)用户说"开启语音播报"时,之后所有回复自动朗读;(3)用户说"静音"时,暂停语音播报。用于:用户(尤其是iOS用户)希望通过语音方式接收信息,或双手不便时通过TTS播放回复内容。
Security Analysis
medium confidenceThe skill's described purpose (TTS voice broadcasting) mostly matches its instructions, but there are incoherent or risky details — notably Feishu delivery is required but no credentials are declared, the skill forces broadcast of 'urgent' content (overriding mute), and it writes persistent state — these gaps merit clarification before install.
Name/description (voice broadcast/TTS for replies) matches the instructions to parse commands, use a TTS tool, and send audio. However SKILL.md requires sending voice via Feishu (飞书) but the skill does not declare any Feishu credentials or environment variables; that omission is unexpected unless the platform itself provides a built-in Feishu tool.
Instructions read/write /workspace/memory/voice_state.json (reasonable for local state) and call a 'tts' tool then send audio via Feishu. Two problematic behavioral items: (1) the skill forces broadcasting of 'urgent' clinical/critical content and explicitly ignores mute, which overrides user preferences and can leak sensitive info; (2) it says the TTS tool will auto-send audio and set textual reply empty, which is a side-effect that may be surprising and could hide textual context or logging. The SKILL.md gives the agent broad discretion to decide 'urgent'—this is vague and risky.
Instruction-only skill with no install spec or code files — lowest install risk. Nothing is downloaded or written beyond the declared workspace state file.
No environment variables or credentials are requested. That is reasonable if the platform provides built-in 'tts' and Feishu tools, but inconsistent if Feishu sending requires tokens: sending messages to a channel usually needs credentials (e.g., Feishu bot token) which are not declared. The skill does not request any unrelated secrets or system paths.
The skill writes a small persistent state file under /workspace/memory/voice_state.json to track auto/mute flags — this is proportionate for its function. always:false and normal invocation settings are appropriate. It does not request system-wide privileges or modify other skills.
Guidance
Before installing, confirm the platform's environment: does it provide a built-in 'tts' tool and Feishu integration so no credentials are needed? If not, ask the author which credentials/config are required and why they weren't declared. Decide whether you accept the 'urgent content forced broadcast' behavior — this will override mute and could expose sensitive information. Verify where /workspace/memory/voice_state.json is stored and whether other skills or users can read it. Test the skill in a restricted environment first and request the author to add explicit handling for 'urgent' rules (e.g., a configurable whitelist) and to declare any required credentials.
Latest Release
v1.0.0
voice-broadcast 1.0.0 - 新增语音播报技能:支持将AI回复内容转换为飞书语音消息朗读。 - 用户可通过“朗读”、“开启/关闭语音播报”、“静音/取消静音”等命令灵活控制朗读行为。 - 支持自动和手动播报,静音和回复恢复功能。 - 状态(auto、muted)按需存储在 JSON 文件,实现记忆切换。 - 文本自动分段或截取精华,避免超长朗读。 - 仅支持飞书频道,其他渠道不触发播报。
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Published by @gabriel-zz on ClawHub