Speech Swift is a collection of Apple Silicon speech tools for recognizing, generating, transforming, and analyzing audio locally with MLX Swift and CoreML. It is for Mac and iOS applications that need on-device speech features such as transcription, voice agents, synthesis, and speaker identification; the catalogue entries provide instructions and skills for using it.
Borrowing it
Nothing to install: this file belongs to soniqo/speech-swift. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/soniqo/speech-swift/main/AGENTS.mdgit clone --depth 1 https://github.com/soniqo/speech-swiftWrote 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/soniqo/speech-swift/agents-md)<a href="https://agentmods.dev/instructions/soniqo/speech-swift/agents-md"><img src="https://agentmods.dev/badge/instructions/soniqo/speech-swift/agents-md/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/instructions/soniqo/speech-swift/agents-md"><img src="https://agentmods.dev/badge/instructions/soniqo/speech-swift/agents-md.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 | $0.05199 | $0.05199 |
| Opus 5.5 | $0.02080 | $0.02080 |
| Sonnet 5.5 | $0.01040 | $0.01040 |
| Haiku 4.5 | $0.00520 | $0.00520 |
Grade A, and why
speech-swift AGENTS.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 25d 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 — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
AI speech models for Apple Silicon (MLX Swift). ASR, TTS, speech-to-speech, VAD, diarization, speech enhancement.
Communication Style
- Communicate at the conceptual level first: what changed, why it matters, risk, tests, and recommendation.
- Keep status updates short and understandable. Do not dump command logs, low-level mechanics, or long implementation detail unless directly asked.
- For PRs and fixes, default to this summary shape: what changed, architecture fit, regression risk, tests run or needed, and recommendation.
- If there are bugs, blockers, or regression risks, lead with them clearly and briefly.
- When the user asks a direct question, answer it directly before adding supporting detail.
Workflow
- Always work in a separate git worktree so concurrent agents don't fight over the same working directory. Create one with
git worktree add ../speech-swift-<task> <branch>, do all edits there, push from there. Multiple agents may be running against this repo at the same time — checking out branches in the shared working copy clobbers their state and silently loses WIP files. Delete the worktree (git worktree remove) when the task is done. - Never commit, push, or comment on GitHub without explicit user confirmation. Draft first, ask to confirm, then execute.
- Every README.md change must update all 13 translations (
README_zh.md,README_ja.md,README_ko.md,README_es.md,README_de.md,README_fr.md,README_hi.md,README_pt.md,README_ru.md,README_ar.md,README_th.md,README_tr.md,README_vi.md). No exceptions. - Keep docs and comments scoped to this package. Model docs, code comments, and PR descriptions describe this package's models, APIs, and formats only — never downstream consumer apps or their integration rules.
Running Tests and Benchmarks — Sequential and Memory-Aware
Heavy operations in this repo load multi-gigabyte CoreML/MLX models. Run them strictly one at a time — overlapping them has exhausted memory and rebooted development machines.
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.
- 25d ago Changed · +6 lines · +146 tokens per session 267e9c5bf34f
- 1mo ago Changed · +2 lines · +52 tokens per session 98fa682ddd2b
- 1mo ago First seen · 357 lines · 5,001 tokens per session scan A cf8fe40d6906
speech-swift AGENTS.md is an instructions file published in the GitHub repository soniqo/speech-swift (1,247 stars, last pushed today), licensed Apache-2.0. It adds 5,199 tokens to every session, about $0.0208 per session on Opus 5.5. 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 instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.