Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/michael-l-i/cadence-code/start-talkingnpx skills add michael-L-i/cadence-code --skill start-talkinggit clone --depth 1 https://github.com/michael-L-i/cadence-codeWrote 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/michael-l-i/cadence-code/start-talking)<a href="https://agentmods.dev/skills/michael-l-i/cadence-code/start-talking"><img src="https://agentmods.dev/badge/skills/michael-l-i/cadence-code/start-talking.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.01865 |
| Opus 5 | $0.00028 | $0.00932 |
| Sonnet 5 | $0.00011 | $0.00373 |
| Haiku 4.5 | $0.00006 | $0.00186 |
Grade A, and why
start-talking 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 4d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start Talking
Run a deliberate voice loop through the mcp__cadence-code__voice_status,
mcp__cadence-code__voice_models, mcp__cadence-code__voice_configure,
mcp__cadence-code__voice_start, mcp__cadence-code__voice_speak,
mcp__cadence-code__voice_listen, and mcp__cadence-code__voice_stop tools.
Antigravity may display these as the corresponding voice_status,
voice_models, voice_configure, voice_start, voice_speak,
voice_listen, and voice_stop tools under the cadence-code MCP server.
Cadence Code only performs speech input and output. The host agent controls
the conversation and authors every word sent to speech.
If the Cadence Code MCP tools are unavailable or still connecting, run the
bundled scripts/setup skill script and wait for it to finish. Do not
background it or retry it in parallel. On failure, show the error and end. On
success, ask the user to restart the host and invoke $start-talking or
/start-talking again, then end without attempting an MCP tool call. This
fallback applies to Antigravity, which does not document a server startup
timeout long enough to build the private venv on first run. Codex declares
startup_timeout_sec and keeps its existing setup flow.
Maintain two outputs for completed work:
- Keep useful technical detail in the normal written host response.
- Compose a separate short, conversational summary for
voice_speak. Never read code, file paths, bullet lists, or the full written response aloud.
-
Call
voice_status. Iffirst_runis true, callvoice_modelsbefore any audio tool or model download. Before asking any questions, reproduce this fixed onboarding script verbatim in a fencedtextblock. Do not summarize, rearrange, restyle, or generate any part of it from the model response.+-- WELCOME TO CADENCE CODE ----------------------------------------+ | | I want to talk with you. Ask me questions, think out loud, | or tell me what to build. | | YOU TALK -> I WORK -> WE KEEP GOING | | We take turns. Speak naturally after the chime. I answer aloud | with the useful details on screen, then listen for your next turn. | +-- QUICK CONTROLS -------------------------------------------------+ | $start-talking /start-talking Start a conversation. | $jump-in /jump-in Redirect me by voice. | $wrap-up /wrap-up End and release the models. | $voice-settings /voice-settings Change speech models. | You can also say "stop" or "goodbye" at any time. | +-- READY TO GO ----------------------------------------------------+ | Voice Pocket TTS 100M | Speech recognition Parakeet 110M | These local defaults load automatically. Change them anytime | with $voice-settings or /voice-settings. | +-- PRIVATE BY DEFAULT ---------------------------------------------+ | Listening and speaking stay on this Mac. Your transcript becomes | a normal coding-agent instruction. +------------------------------------------------------------------+Immediately call
voice_configurewithdefaults.ttsanddefaults.sttfromvoice_models(Pocket TTS and Parakeet 110M). Do not present a model selector, ask a model-selection question, or wait for confirmation. If configuration fails, show the error and end without callingvoice_start. Existing users withfirst_run: falseskip the fixed script and automatic default configuration silently. -
Call
voice_start, then pollvoice_statusuntilreadyis true.voice_startreturns as soon as the audio preflight passes and loads the speech models in the background, so a first-run model download can never outlive the host's MCP tool deadline. Whilestartingis true, wait between polls; do not narrate or start other work. Ifstart_erroris set, show it and end without retrying. Do not call any Cadence Code audio tool before this explicit skill invocation, and do not callvoice_speakorvoice_listenuntilreadyis true. Ifvoice_startor a poll returnsok: false, show the error and end without retrying. -
Verify the completed start result or final status includes
version,host,capture, andpreflight. The host must becodexwhen invoked from Codex orantigravitywhen invoked from Antigravity. If it does not match, the MCP process is stale or misconfigured: callvoice_stop, ask the user to restart the current host after updating or reinstalling the plugin, and end. -
Speak a greeting with
listen_after: true, then callvoice_listenimmediately. Iffirst_runwas true, use this short introduction verbatim: "Welcome to Cadence Code. I want to talk with you about whatever you're working on. We'll alternate turns: speak naturally after the chime, and I'll answer aloud while keeping the useful details on screen. If you want to interrupt me, press Escape and choose Jump In. What would you like to work on?" Otherwise use an ordinary casual one-sentence greeting. Cadence Code opens the mic as soon as playback finishes and the listen call collects that queued capture. Do not add filler or perform other work between those tool calls. -
Treat every non-empty transcript as the user's next instruction, including one returned with
end_reason: "timeout". Use normal host tools to do the work silently, without spoken command-by-command narration. -
For noticeably long work, first acknowledge it with one natural sentence and keep
listen_afterfalse for that progress update. When finished, callvoice_speakfirst withlisten_after: trueand a separately composed concise summary. As soon as it returns, stream the complete written result while the summary is still playing so text appears as the user listens. Cadence Code opens the mic immediately when playback ends even if writing is still in progress; callvoice_listenafter the written result to collect that capture. -
When a decision is needed, show detailed options in writing and speak only the concise question and most important tradeoff, with
listen_after: true. -
After presenting each written result, call
voice_listento collect the capture queued by the preceding end-of-turn speech. A valid transcript resets the consecutive no-speech timeout count. -
Cadence Code internally discards noise segments that transcribe to no words. After one remaining no-speech timeout, check in once. After two consecutive no-speech timeouts, call
voice_stopand end quietly. -
On
end_reason: "device_error", explain the microphone problem briefly when speech still works, callvoice_stop, and end. -
If the user says stop, goodbye, or equivalent, speak a short goodbye with
listen_afterfalse, callvoice_stopwithwait_for_speech: true, and do not listen again. -
If
voice_speakorvoice_listenreturnsok: false, show the error, callvoice_stop, and end instead of retrying indefinitely. In particular,error_code: "session_not_started"means the requiredvoice_startdid not complete; do not use an audio tool to activate or recover the session.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 138 lines · 57 tokens per session scan A 774c84fa0541
start-talking is a skill published in the GitHub repository michael-L-i/cadence-code (2 stars, last pushed 3d ago), licensed MIT. It adds 57 tokens to every session and 1,865 once invoked, about $0.0003 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 2026-08-31.
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