Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/WaterplanAI/agentic-confignpx agentmods add skills/waterplanai/agentic-config/ac-tools-setup-voice-modeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-setup-voice-mode)<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-setup-voice-mode"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-setup-voice-mode/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-setup-voice-mode"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-setup-voice-mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.01404 |
| Opus 5 | $0.00021 | $0.00702 |
| Sonnet 5 | $0.00008 | $0.00281 |
| Haiku 4.5 | $0.00004 | $0.00140 |
Grade A, and why
ac-tools-setup-voice-mode scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup VoiceMode
Install and configure VoiceMode MCP for voice interactions in the target client.
Steps
- Install VoiceMode:
uvx voice-mode-install --yes
- Add the MCP server to the target client:
claude mcp add --scope user voicemode -- uvx --refresh voice-mode
- Configure local endpoints (Kokoro TTS + Whisper STT):
voicemode config set VOICEMODE_TTS_BASE_URLS http://127.0.0.1:8880/v1
voicemode config set VOICEMODE_STT_BASE_URLS http://127.0.0.1:2022/v1
voicemode config set VOICEMODE_PREFER_LOCAL true
voicemode config set VOICEMODE_ALWAYS_TRY_LOCAL true
This is critical. Without explicit _BASE_URLS, the default includes https://api.openai.com/v1 as fallback, which crashes with OPENAI_API_KEY errors even when local services are running.
- Verify installation:
claude mcp list
- Test voice mode:
- Restart the target client
- If the target runtime exposes a VoiceMode tool, use it to verify; otherwise restart the target client and confirm voice input/output there
First Run Note
Kokoro TTS may take 5+ minutes to load on first run while it downloads and initializes the model (~111MB). Check status with:
voicemode service kokoro status
Two MCP restarts required:
- After initial setup (step 5)
- After Kokoro model finishes downloading
Without the second restart, you may get "OpenAI API key" errors even with local config.
Configuration Options
Edit config with:
voicemode config edit
List all options:
voicemode config list
Key Settings
| Setting | Description |
|---|---|
VOICEMODE_PREFER_LOCAL |
Prefer local providers over cloud (true/false) |
VOICEMODE_ALWAYS_TRY_LOCAL |
Always attempt local providers first (true/false) |
VOICEMODE_SAVE_AUDIO |
Save audio files (true/false, default: false) |
VOICEMODE_WHISPER_MODEL |
Whisper model (tiny, base, small, medium, large-v2) |
VOICEMODE_KOKORO_DEFAULT_VOICE |
Default voice (e.g., af_sky) |
OPENAI_API_KEY |
Required only for cloud processing |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 170 lines · 42 tokens per session scan A e7c880275147
ac-tools-setup-voice-mode is a skill published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 1,404 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
vfx-text-cursor
A video or hero-frame effect where a cursor reveals a sentence character by character with coloured trails, light streaks, and a final shimmer.
migrate-skills-between-libraries
Use when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
audit-library-health
Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
browse-and-evaluate
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
install-from-remote-library
Use when installing skills from a shared ai-agent-skills library repo. Inspect with --list first, prefer --collection, and preview with --dry-run before installing.
review-a-skill
Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.