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/satyaborg/blurt/agents-mdgit clone --depth 1 https://github.com/satyaborg/blurtWhat 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 | $0.00729 | $0.00729 |
| Opus 5 | $0.00365 | $0.00365 |
| Sonnet 5 | $0.00146 | $0.00146 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
blurt 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 2d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to coding agents (Claude Code, Codex, Cursor etc.) when working with code in this repository.
What is Blurt
On-device voice-to-text for macOS Apple Silicon. Single-file Python app - press right ⌘ to start, press it again to stop, and text pastes at the cursor. Uses Qwen3-ASR through MLX locally, no cloud/API.
Commands
# Dev install
uv pip install -e ".[dev]"
# Run
blurt
# Tests
pytest
pytest tests/test_blurt.py::test_get_model_mode_default # single test
# Lint
ruff check .
ruff format .
# Release (tags + pushes, triggers PyPI publish via CI)
./release.sh 0.5.0
Requires portaudio system dep (brew install portaudio).
Architecture
Single package: blurt/__init__.py contains everything. No submodules.
Flow: main() → starts pynput keyboard listener → successive shortcut presses toggle start_recording() and stop_recording() → stopped audio is concatenated and saved to ~/.blurt/audio/ → the selected Qwen3-ASR model transcribes it → pbcopy+osascript pastes it → the transcript is logged to ~/.blurt/blurts.jsonl.
Key design details:
- The fast (
Qwen3-ASR-0.6B-8bit) and accurate (Qwen3-ASR-1.7B-8bit) models are lazy-loaded and pre-warmed in a background thread at startup - Transcription paste works by saving/restoring clipboard (pbcopy/pbpaste) and simulating ⌘V via osascript
- Silence is filtered using audio amplitude and RMS thresholds; prompt echo and repetition detection filter unsafe output before paste
- Global mutable state (
recording,audio_buffer,stream, etc.) protected bythreading.Lock - Versioning via
setuptools-scm(git tags), no hardcoded version - Sound feedback files bundled in
blurt/sounds/*.mp3
CLI Subcommands
blurt (run), blurt add <phrase>, blurt rm <phrase>, blurt vocab (list words), blurt log (view transcripts), blurt upgrade (self-update via pipx).
Vocab
~/.blurt/vocab.txt - one word/phrase per line. Passed to Qwen as transcription context to bias recognition.
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.
- 2d ago First seen · 65 lines · 729 tokens per session scan A ea74abb61958
blurt AGENTS.md is an instructions file published in the GitHub repository satyaborg/blurt (5 stars, last pushed 2d ago), licensed MIT. It adds 729 tokens to every session, about $0.0036 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
VoxType AGENTS.md
Instructions for zkwi/VoxType, covering voxtype ai 维护指南, 1. 不可破坏的主链路规则, 2. 不可回退的默认策略, 3. 代码修改原则 and 4. 目录职责.
open-agent-hub AGENTS.md
AGENTS.md instructions for guanyang/open-agent-hub, covering agents.md, 1. think before coding, 2. simplicity first, 3. surgical changes and 4. goal-driven execution.
agents
Always-loaded project anchor. Read this first. Contains project identity, non-negotiables, commands, and pointer to ROUTER.md for full context.
gmgn-skills CLAUDE.md
Instructions for GMGNAI/gmgn-skills, covering claude.md, critical rule — read this first, project overview, available skills and quick decision guide.
core copilot-instructions.md
Instructions for asdecided/core: These decisions are already accepted. Do not re-open or contradict them; ask the AsDecided MCP tools (getartifact, searchartifacts) for the full text before proposing a change that touches one.
OpenSuperMLX AGENTS.md
Instructions for axot/OpenSuperMLX, covering agents.md — opensupermlx, agent behavioral guidelines, 1. think before coding, 2. simplicity first and 3. surgical changes.