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 skills add majiayu000/claude-skill-registry --skill 81-pipecatgit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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/majiayu000/claude-skill-registry/81-pipecat)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/81-pipecat"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/81-pipecat/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/skills/majiayu000/claude-skill-registry/81-pipecat"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/81-pipecat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 36 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
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 | $0.00018 | $0.02911 |
| Opus 5 | $0.00009 | $0.01456 |
| Sonnet 5 | $0.00004 | $0.00582 |
| Haiku 4.5 | $0.00002 | $0.00291 |
Grade A, and why
81-pipecat 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 12d 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 — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Your Pipecat Skill
Before learning Pipecat—a frame-based voice AI framework with 40+ provider integrations—you'll own a Pipecat skill.
This is skill-first learning. You build the skill, then the chapter teaches you what it knows and how to make it better. By the end, you have a production-ready voice agent AND a reusable skill for building more.
Why Pipecat?
Pipecat started as an internal framework at Daily.co for building voice bots. After the team saw how well it worked, they open-sourced it in 2024. Since then, it has grown to over 8,900 GitHub stars and supports 40+ AI service integrations.
The framework's key insight: everything is a frame. Audio data, text transcriptions, LLM responses, control signals—all frames flowing through a pipeline of processors. This simple abstraction enables powerful composition: swap providers with one line, add custom processing anywhere, deploy to any transport.
What you're learning: A compositional approach to voice AI that gives you maximum flexibility.
Pipecat vs LiveKit
You learned LiveKit Agents in Chapter 80. Here's how Pipecat differs:
| Dimension | LiveKit Agents | Pipecat |
|---|---|---|
| Core Abstraction | Jobs (distributed work) | Frames (data flow) |
| Architecture | Workers, Sessions, Agents | Pipelines, Processors, Transports |
| Provider Strategy | Curated integrations | Plugin ecosystem (40+) |
| Transport | WebRTC-first | Transport-agnostic |
| Turn Detection | Semantic (transformer) | Configurable (VAD-based) |
Neither is "better"—they solve different problems. LiveKit excels at enterprise scale and semantic understanding. Pipecat excels at flexibility and rapid iteration.
Step 1: Clone Skills-Lab Fresh
Every chapter starts fresh. No state assumptions.
- Go to github.com/panaversity/claude-code-skills-lab
- Click the green Code button
- Select Download ZIP
- Extract the ZIP file
- Open the extracted folder in your terminal
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 350 lines · 18 tokens per session scan A dffb469b6f8d
81-pipecat is a skill published in the GitHub repository majiayu000/claude-skill-registry (600 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 2,911 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
81-pipecat
Create your Pipecat skill from official documentation, then learn to improve it throughout the chapter.
academy-guide
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude…
book-recommender
A Chinese-language book recommendation and analysis skill that evaluates what books are about, whether they are worth reading, and how to read them.
history-autopsy
A structured overview of a major historical event or long-term historical process, covering its causes, development, results, and effects. It also connects the past to current events and adds memorable points for conversation.
learn-topic
A five-step lesson format for teaching a new subject to an experienced reader who is unfamiliar with that subject. It moves from an opening example through demonstration, explanation, guided practice, and independent practice with a self-check.
wisdom-decoder
A guided explanation skill for ideas from Buddhism, philosophy, and psychology. It presents a chosen topic in everyday language and connects it to practical actions, sources, and perspectives from other fields.