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Install in OpenClaw
/install voice-wake
Description
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "...
Usage Guidance
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install voice-wake - After installation, invoke the skill by name or use
/voice-wake - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is jm-call?
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "... It is an AI Agent Skill for Claude Code / OpenClaw, with 235 downloads so far.
How do I install jm-call?
Run "/install voice-wake" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is jm-call free?
Yes, jm-call is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does jm-call support?
jm-call is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created jm-call?
It is built and maintained by kiefer (@kieferhuan); the current version is v1.0.3.
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