p2p

p2p is a skill for Claude Code from sanic732/P2P-4PDA-edition. It costs 107 tokens per session (855 once invoked), scanned A, original, MIT.

A prompt-building and multi-agent workflow system for Claude. It helps create prompts, break down large tasks, and coordinate several specialized AI reviewers.

In plain words
What is it for?
It helps generate and improve prompts, run QUORUM reviews, scope large projects, brainstorm, map tasks, save context, connect agent steps, and track sessions.
Why use it?
It gives repeatable workflows for tasks that need prompt design, multiple viewpoints, planning, or preserved context.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

Part of the p2p-v8c3 plugin — 9 skills, 13 commands, 8 agents, 2 hooks shipped together

Good fit It helps generate and improve prompts, run QUORUM reviews, scope large projects, brainstorm, map tasks, save context, connect agent steps, and track sessions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sanic732/p2p-4pda-edition/p2p
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.

Any agent
npx skills add sanic732/P2P-4PDA-edition --skill p2p
Clone the repo
git clone --depth 1 https://github.com/sanic732/P2P-4PDA-edition

Made for: Claude Code.

Or install p2p-v8c3, the plugin that ships this one along with the rest of its 9 skills, 13 commands, 8 agents, 2 hooks.

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 p2p

README.md
[![agentmods](https://agentmods.dev/badge/skills/sanic732/p2p-4pda-edition/p2p/github.svg)](https://agentmods.dev/skills/sanic732/p2p-4pda-edition/p2p)
Your own site
<a href="https://agentmods.dev/skills/sanic732/p2p-4pda-edition/p2p"><img src="https://agentmods.dev/badge/skills/sanic732/p2p-4pda-edition/p2p/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.

agentmods 80×15 button for p2p

Your own site · 80×15
<a href="https://agentmods.dev/skills/sanic732/p2p-4pda-edition/p2p"><img src="https://agentmods.dev/badge/skills/sanic732/p2p-4pda-edition/p2p.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 855 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
How audits are shown
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 $0.00107 $0.00855
Opus 5 $0.00053 $0.00428
Sonnet 5 $0.00021 $0.00171
Haiku 4.5 $0.00011 $0.00085

Measured 10d ago against content hash 0fd9b7f30f47, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

p2p 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 10d 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.

editions/8.4.6-C/plugin/.claude/skills/p2p/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

P2P — SKILL MANIFEST

Skill: P2P Claude Edition Version: 8.4.6-C Platform: Claude (Fable 5 / Opus 4.8 / Sonnet 4.6) Author: P2P Project

Что умеет этот skill

P2P v8C.3 — мета-промпт система для:

  • Генерации оптимизированных промптов под любую задачу
  • Оркестрации 8 специализированных агентов (QUORUM)
  • Управления большими задачами (SCOPE.HELM)
  • Cross-model адаптации (Translation Layer для 8 LLM)
  • NEW: Интерактивного обучения системе (/p2p-teacher)

Команды (13)

/p2p           → Диспетчер: пустой вызов / start / menu → меню;
                 задача в аргументах → SIR Scanner → Tier → Contract Builder
/p2p-quorum    → Запуск QUORUM (8 агентов)
/p2p-scope     → SCOPE.HELM для больших задач
/p2p-explore   → Exploration Mode (brainstorm)
/p2p-atlas     → Карта задач
/p2p-capsule   → Сохранение/восстановление контекста
/p2p-metrics   → Метрики сессии
/p2p-chain     → Цепочка агентов
/p2p-feedback  → Обратная связь
/p2p-karpathy  → Karpathy Coding Mode (Template M)
/p2p-teacher   → Интерактивное обучение системе
/p2p-download  → Полная интеграция LIVE SPECS (требует web-fetch)
/p2p-pxpipe    → Оптическое сжатие хендоффа (PNG), только reader-модели

/p2p — это диспетчер, а не только меню. Если после команды идёт задача, меню не показывается: запрос уходит по маршруту SIR (core.md → SIR SCANNER v3.3), а контракт выдаётся в синтаксисе TARGET_MODEL по P1 CROSS_MODEL_GENERATION_AWARENESS.

Загрузка

Plugin (рекомендуется для Claude Code / Cowork)

  1. Drag-drop p2p-v8c3.plugin в Claude Code/Cowork
  2. Команды и агенты доступны сразу

Manual (для API / Chat)

  1. Скопируй весь каталог v8C.3 в проект
  2. Загрузи в Claude: preloader.md → core.md → db.md → _live/*
  3. Введи СТАРТ или /p2p

Подробнее: INSTALL.md (5 методов установки).

======================================== FILE_META

id: SKILL_V8C type: skill edition: CLAUDE_NATIVE invariants_passed: [I1_yaml, I2_api_strings, I3_deadlines, I4_g_errors, I5_version_metadata, I6_xml_native, I7_agents_8]

Read the full file on GitHub · 72 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. 10d ago First seen · 72 lines · 107 tokens per session scan A 0fd9b7f30f47

Subscribe to this mod's changes

p2p is a skill published in the GitHub repository sanic732/P2P-4PDA-edition (17 stars, last pushed 22d ago), licensed MIT. It adds 107 tokens to every session and 855 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

llm-app-patterns

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

davila7/claude-code-templates · 54 tokens

prompt-optimization

Improve a prompt on the evaluations workbench through a measured loop. Score the baseline first, then duplicate the target column, form a hypothesis from failing rows, edit the copy's prompt draft, run, compare pass rate and cost, and repeat until the numbers hold. Use when the user asks to optimize or improve a…

langwatch/langwatch · 105 tokens

enhance-prompt

Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.

google-labs-code/stitch-skills · 41 tokens

prompt-engineer

Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot…

Jeffallan/claude-skills · 93 tokens

seedance-vocab-en

This skill should be used when an English Seedance 2.0 prompt needs clearer production wording, less generic prose, or precise vocabulary for camera, lighting, motion, VFX, audio, and constraints. Route blocked prompts through seedance-filter for context and boundary review.

Emily2040/seedance-2.0 · 61 tokens

ideogram4

Prompting patterns for Ideogram 4 text-to-image — best-in-class in-image text rendering and exact color/layout control via structured JSON captions. Use when generating images that need legible on-image text (title cards, thumbnails, logos, signage, CTAs), precise brand colors, or controlled spatial layout. Triggers…

digitalsamba/claude-code-video-toolkit · 99 tokens