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 instructions/michael-l-i/cadence-code/claude-mdgit 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/instructions/michael-l-i/cadence-code/claude-md)<a href="https://agentmods.dev/instructions/michael-l-i/cadence-code/claude-md"><img src="https://agentmods.dev/badge/instructions/michael-l-i/cadence-code/claude-md.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 | $0.00544 | $0.00544 |
| Opus 5 | $0.00272 | $0.00272 |
| Sonnet 5 | $0.00109 | $0.00109 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
cadence-code CLAUDE.md 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code Guide
Project Summary
cadence-code gives Claude Code a fully local voice interface on Apple Silicon.
The plugin's stdio MCP process owns the selected TTS and STT models directly for
an active conversation; there is no HTTP daemon or local summarization model.
Speech models run through MLX Audio. MLX is not used to generate or rewrite
Claude's response.
The main integration surface is /cadence-code:start-talking. It loops between
choosing models on a new install, then speaking and listening through
voice_start, voice_speak, voice_listen, and voice_stop. After pressing
Escape, /cadence-code:jump-in silences current audio and captures added
guidance through voice_interrupt. /cadence-code:wrap-up ends the
conversation and releases the models. Claude Code supplies the exact text
spoken by TTS. There is no passive narration.
Read AGENTS.md for the shared project map, commands, development principles,
and Git workflow. Claude-specific notes below override only when they conflict.
Claude-Specific Flow
- Claude Code installs and wires the plugin through its normal plugin mechanism; the plugin manifest starts the lightweight stdio MCP server without manual MCP setup.
voice_startacquires the machine-wide voice-session lock and loads TTS and STT in the background; pollvoice_statusuntilreadyis true. The first call may trigger model downloads; later turns reuse the warm models.commands/start-talking.mddrives the conversation. Claude acknowledges longer tasks briefly and performs the actual work silently. Detailed results remain visible in Claude Code, whilevoice_speakreceives a separately composed, concise result or question based on the current task. Summary requests should answer the requested subject, not explain the voice machinery.voice_stopnormally cancels active audio, drops both model providers, clears the MLX cache, and releases the session lock. Wrap Up can let a short final message finish first. Normal MCP process exit runs the same cleanup; operating-system process teardown remains the final safety net.
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 · 49 lines · 544 tokens per session scan A acf03fb17b48
cadence-code CLAUDE.md is an instructions file published in the GitHub repository michael-L-i/cadence-code (2 stars, last pushed 3d ago), licensed MIT. It adds 544 tokens to every session, about $0.0027 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.
Other instructions, from other repositories
claude-mlx-tts CLAUDE.md
Instructions for aperepel/claude-mlx-tts, covering claude.md, project overview, architecture, development commands and install plugin locally for development.
claude-mlx-tts AGENTS.md
Instructions for aperepel/claude-mlx-tts, covering agent instructions, quick reference and landing the plane (session completion).
Vocello AGENTS.md
AGENTS.md instructions for PowerBeef/Vocello, covering agents.md — vocello (qwenvoice), product and authority, start and resume work, hard invariants and domain routing.
localvoxtral AGENTS.md
AGENTS.md instructions for T0mSIlver/localvoxtral, covering localvoxtral — agent guide, build & test — read this first on a non-mac dev box, proof culture — non-negotiable, test tiers — the short version and ci / shipping.
OpenSuperMLX AGENTS.md
AGENTS.md instructions for axot/OpenSuperMLX, covering agents.md — opensupermlx, agent behavioral guidelines, 1. think before coding, 2. simplicity first and 3. surgical changes.
localvoxtral CLAUDE.md
Claude Code instructions for T0mSIlver/localvoxtral, a project described as: Talk to your coding agents by voice. Realtime, fully local macOS dictation that streams words as you speak and grounds LLM polishing in the exact Claude Code session under your cursor — Ghostty, iTerm2, Terminal.app, even a herdr pane. 100%…