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在 OpenClaw 中安装
/install voice-wake
功能描述
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "...
安全使用建议
This skill is coherent and low-risk: it only runs the local macOS `say` command when a message exactly starts with the trigger phrase. Before installing, confirm that (1) the agent will run on macOS (otherwise `say` won't be available), (2) you are comfortable with the agent executing a simple shell command that will speak whatever response it generates (including potentially sensitive text), and (3) you accept that optional env vars SAY_VOICE and SAY_RATE control voice/pace but are not declared in the metadata. If you want stronger safety, restrict the skill to macOS hosts and verify it will not be invoked for messages that might expose secrets or private content.
能力评估
Purpose & Capability
Name and description match the SKILL.md instructions: the skill only asks the agent to call the local macOS `say` command when the incoming message begins with the exact trigger phrase. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
Instructions are narrow and specify exactly when to use `say` and how to format spoken text. Minor issues: the SKILL.md references optional environment variables (SAY_VOICE, SAY_RATE) that are not declared in the skill metadata, and the skill does not declare an OS restriction even though it only works on macOS. The runtime snippets run a simple local shell pipeline (printf | say); this is expected for the stated purpose but will fail on non-macOS hosts.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is written to disk and no external packages or downloads are requested.
Credentials
The skill declares no required environment variables or credentials, which is proportionate. It does reference optional env vars (SAY_VOICE, SAY_RATE) in SKILL.md; these are harmless for functionality but are not listed in requires.env, which is a minor metadata mismatch.
Persistence & Privilege
always is false and the skill does not request persistent installation or elevated privileges. It does not modify other skills or system-wide settings according to the provided files.
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 voice-wake - 安装完成后，直接呼叫该 Skill 的名称或使用
/voice-wake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
v1.0.3
- Switched skill focus from "jm-call" AI calling to "voice-wake-say" for speaking responses aloud on macOS with the `say` command.
- Removed code and documentation related to outbound calling, API references, and scripts.
- Added info and workflow for detecting when to use macOS `say` (voice recognition trigger).
- Provides strict guidance: only speak if user message starts with "User talked via voice recognition".
- Added failure handling for when speech output is unavailable.
- Now text-only, with optional local speech output on macOS; no longer handles outbound calls.
v1.0.2
**Summary:**
Skill metadata now standardized and privacy/configuration info clarified. No logic or workflow changes.
- Skill name corrected from "jm-aicall" to "yanxi-aicall"; "author" and homepage updated correspondingly.
- Added explicit `required_env_vars` and `required_binaries` sections to metadata for easier setup and validation.
- Included a machine-readable `privacy` block, specifying PII handling and user consent requirement.
- Enhanced documentation about privacy protection, API key configuration methods, and file permissions.
- No functional changes to the core call workflow or response logic.
v1.0.1
Version 1.0.1 – Changelog
- Major update: SKILL.md rewritten with comprehensive documentation and workflow.
- Now includes step-by-step instructions for outbound call handling: intent extraction, info collection, confirmation, API invocation, and result processing.
- Strong privacy statement: explicit user consent required before calls; clear data usage and retention explanation.
- Expanded guidance on information collection, scene-specific questioning, and error/result handling.
- Added configuration details for API integration, environment, and security practices.
- Enhanced description of applicable scenarios and batch questioning for efficiency.
v1.0.0
JM AI Call 3.0.0 introduces a robust workflow and intelligent information collection for outbound call automation.
- Improved information extraction and context-aware questioning to reduce follow-up prompts.
- Streamlined multi-question prompts to gather all required details in fewer steps.
- Dynamic response handling: collects missing info when backend returns parameter errors.
- Enhanced user confirmation flow and clear result feedback, including handling risk control blocks.
- Supports various call scenarios (appointments, promotions, reminders, inquiries, care calls) without preset limitations.
元数据
常见问题
jm-call 是什么？
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 235 次。
如何安装 jm-call？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install voice-wake」即可一键安装，无需额外配置。
jm-call 是免费的吗？
是的，jm-call 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
jm-call 支持哪些平台？
jm-call 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 jm-call？
由 kiefer（@kieferhuan）开发并维护，当前版本 v1.0.3。
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