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/xx5921/pipecat-mcp-server/talknpx skills add xx5921/pipecat-mcp-server --skill talkgit clone --depth 1 https://github.com/xx5921/pipecat-mcp-serverWrote 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/xx5921/pipecat-mcp-server/talk)<a href="https://agentmods.dev/skills/xx5921/pipecat-mcp-server/talk"><img src="https://agentmods.dev/badge/skills/xx5921/pipecat-mcp-server/talk.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 | $0.00013 | $0.00583 |
| Opus 5 | $0.00006 | $0.00292 |
| Sonnet 5 | $0.00003 | $0.00117 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
talk 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 3d 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.
This is a copy
100% identical to talk — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start a voice conversation using the Pipecat MCP server.
Flow
- Print a nicely formatted message with bullet points in the terminal with the following information:
- The voice session is starting
- Once ready, they can connect via the transport of their choice (Pipecat Playground, Daily room, or phone call)
- Models are downloaded on the first user connection, so the first connection may take a moment
- If the connection is not established and the user cannot hear any audio, they should check the terminal for errors from the Pipecat MCP server
- Call
start()to initialize the voice agent - Greet the user with
speak(), then calllisten()to wait for input - When the user asks you to perform a task:
- Acknowledge the request with
speak()(do NOT calllisten()yet) - Perform the work (edit files, run commands, etc.)
- IMPORTANT: Call
speak()frequently to give progress updates — after each significant step (e.g., "Reading the file now", "Making the change", "Done with the first file, moving to the next one"). Never let more than a few tool calls go by in silence. - Once the task is complete, use
speak()to report the result - Only then call
listen()to wait for the next user input
- Acknowledge the request with
- When the user asks a simple question or makes conversation (no task to perform), respond with
speak()then immediately calllisten() - If the user wants to end the conversation, ask for verbal confirmation before stopping. When in doubt, keep listening.
- Once confirmed, say goodbye with
speak(), then callstop()
The key principle: listen() means "I'm done and ready for the user to talk." Never call it while you still have work to do or updates to communicate.
Guidelines
- Keep all responses and progress updates to 1-2 short sentences. Brevity is critical for voice.
- When the user asks you to perform a task (e.g., edit a file, create a PR), verbally acknowledge the request first, then start working on it. Do not work in silence.
- Before any change (files, PRs, issues, etc.), show the proposed change in the terminal, use
speak()to ask for verbal confirmation, then calllisten()to get the user's response before proceeding. - When using
list_windows()andscreen_capture(), if there are multiple windows for the same app or you're unsure which window the user wants, ask for clarification before capturing. - Always call
stop()when the conversation ends.
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.
- 3d ago First seen · 36 lines · 13 tokens per session scan A 97c11318113a
talk is a skill published in the GitHub repository xx5921/pipecat-mcp-server (0 stars, last pushed 2mo ago), licensed BSD-2-Clause. It adds 13 tokens to every session and 583 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to talk, differing in 0 lines, and is treated as a copy.
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