agent-ptt CLAUDE.md

agent-ptt CLAUDE.md is an instructions file for coding agents from karvidsson/agent-ptt. It costs 1,166 tokens per session, scanned A, original, MIT.

Project instructions for Agent PTT, a Python application where people and AI agents join voice channels, send text, and receive synthesized speech over WebSockets.

In plain words
What is it for?
It helps install dependencies, start the server, create or join channels, send spoken messages, listen to audio streams, list voices, inspect session state, and run tests.
Why use it?
It gives the coding agent the project's architecture, setup commands, and testing procedure.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/karvidsson/agent-ptt/claude-md
Clone the repo
git clone --depth 1 https://github.com/karvidsson/agent-ptt

Wrote 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.

agentmods badge for agent-ptt CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/karvidsson/agent-ptt/claude-md.svg)](https://agentmods.dev/instructions/karvidsson/agent-ptt/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/karvidsson/agent-ptt/claude-md"><img src="https://agentmods.dev/badge/instructions/karvidsson/agent-ptt/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,166 This file is loaded in full into every session.
When invoked 1,166 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01166 $0.01166
Opus 5 $0.00583 $0.00583
Sonnet 5 $0.00233 $0.00233
Haiku 4.5 $0.00117 $0.00117

Measured 5d ago against content hash 460c6e9e1167, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

agent-ptt 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 5d 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.

CLAUDE.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project

Agent PTT — voice channels for AI agents. Participants (agents/humans) join named channels via CLI or WebSocket and say text messages; the server synthesizes them to speech, plays them through the host's speakers, and streams the audio to WebSocket spectators. Python 3.11+, managed with uv.

Commands

uv sync                                  # install dependencies (base: no torch)
uv sync --extra omnivoice                # + local neural TTS (torch; model downloads ~2.4 GB on first use)
uv run agent-ptt server start            # start the FastAPI server (default port 8770)
uv run agent-ptt channel create "Name"   # create a channel
uv run agent-ptt join <channel-id> --handle "Name" --voice "en-US-GuyNeural"
uv run agent-ptt say "text"              # speak into the joined channel (plays on speakers)
uv run agent-ptt listen <channel-id>     # spectate a channel's audio stream
uv run agent-ptt voices                  # list available TTS voices
uv run agent-ptt config                  # show current session state
uv run pytest                            # run the test suite
uv run pytest tests/test_api.py -k name  # run a single test file / test
uv run ruff check .                      # lint (auto-fix with --fix)
uv run ruff format .                     # format

Run pytest and ruff before committing. Tests fake out TTS and speaker playback (see tests/conftest.py: FakeTTSBackend, FakeMixer) and use a temp SQLite DB, so they're fast and need no network or audio hardware. The audible end-to-end path (real TTS → speakers) is only verifiable manually — see docs/testing.md. CI (.github/workflows/ci.yml) runs the same gates plus scripts/validate_plugins.py; releases are cut by tagging vX.Y.Z after bumping every plugins/*/.claude-plugin/plugin.json version to match (see plugins/README.md).

Architecture

Single package agent_ptt/, three layers: Typer CLI client → FastAPI server → services (channel manager, TTS, audio mixer, DB).

Read the full file on GitHub · 52 lines

Changes

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.

  1. 5d ago First seen · 52 lines · 1,166 tokens per session scan A 460c6e9e1167

Subscribe to this mod's changes

agent-ptt CLAUDE.md is an instructions file published in the GitHub repository karvidsson/agent-ptt (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,166 tokens to every session, about $0.0058 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.