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papyrus-maximus最大纸莎草

Agent Skill

papyrus-maximus 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

374

周安装

15

GitHub Stars

2

下载量

121
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:papyrus-maximus(最大纸莎草)
来源仓库:https://github.com/uinaf/skills
仓库路径:skills/papyrus-maximus
安装命令:
npx skills add https://github.com/uinaf/skills --skill papyrus-maximus
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/uinaf/skills --skill papyrus-maximus

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,支持代码变更与协作事项管理。

  • 适用于需要围绕仓库状态、代码提交或协作流程进行整理的场景,提升开发效率。
  • 通过 npx skills add 命令从指定仓库安装,建议结合原始 README 核验具体用法。
  • 使用前需确认权限范围、维护状态,并评估是否涉及联网、命令执行或文件读写操作。
  • papyrus-maximus 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

papyrus-maximus

Project documentation that stays useful. For humans and agents.

Structure

project/
  README.md          ← humans: what is this, how to run it
  AGENTS.md          ← agents: project rules, stack, commands
  CLAUDE.md          ← symlink → AGENTS.md
  docs/
    ARCHITECTURE.md  ← how the system works (diagrams > text)
    *.md             ← guides, references, anything useful
    plans/           ← specs, execution plans, living docs

That's it. No nested agent zones. No session notes folder.

File Roles

README.md

For humans. High-level only.

SectionContent
WhatOne paragraph — what does this do?
Getting StartedClone, install, run. Copy-pasteable.
UsageKey commands / API surface
ContributingHow to dev, test, deploy

No architecture. No internal module descriptions. No detailed folder trees.

AGENTS.md

For coding agents. Under 150 lines.

SectionContent
StackLanguages, frameworks, key deps
CommandsBuild, test, lint, deploy — exact commands
ConventionsNaming, patterns, gotchas
ArchitectureOne sentence + "see docs/ARCHITECTURE.md"

If it's growing past 150 lines, move content to docs/.

docs/ARCHITECTURE.md

How the system is built. Diagram-first, text-second.

Use mermaid diagrams liberally:

  • System context → who talks to what (C4 level 1)
  • Component diagram → major modules and boundaries (C4 level 2)
  • Sequence diagrams → key flows
  • State diagrams → lifecycle of important entities
## System Context

\```mermaid
graph LR
  User --> App
  App --> DB[(PostgreSQL)]
  App --> Queue[Redis]
  Worker --> Queue
  Worker --> ExtAPI[External API]
\```

## Components

| Component | Responsibility | Talks to |
|-----------|---------------|----------|
| API | HTTP handlers, auth | DB, Queue |
| Worker | Background jobs | Queue, ExtAPI |
| CLI | Admin commands | DB |

## Key Flows

\```mermaid
sequenceDiagram
  User->>API: POST /order
  API->>DB: insert order
  API->>Queue: enqueue process_order
  Worker->>Queue: dequeue
  Worker->>ExtAPI: submit
  Worker->>DB: update status
\```

Rules:

  • Diagrams > text. If you can draw it, draw it.
  • Tables > paragraphs. Component lists, config options, API surfaces.
  • Pseudocode > real code. process(order) → validate → enqueue → respond beats a 30-line function that'll change next week.
  • No folder trees. They go stale immediately. Describe capabilities and boundaries instead.
  • Mention modules by name, not by path. "The worker module handles..." not "src/worker/index.ts handles..."

docs/*.md — Other Material

Anything useful for humans or agents:

  • GUIDE.md — walkthrough for common tasks
  • API.md — endpoint reference
  • DEPLOYMENT.md — how to ship it
  • DECISIONS.md — notable past decisions (lightweight ADR: what, why, when — no template ceremony)

docs/plans/*.md — Specs & Execution Plans

Filename convention: kebab-case-slug.md (e.g. kalshi-hardening-2026-02-23.md, loss-reduction-2026-02-23.md). No SHOUTING. Date suffix for at-a-glance staleness detection. Living documents. Specs before code. Updated as work progresses.

# [Feature Name]

## Goal
One sentence.

## Context
Why now? What's the current state? What's wrong with it?

## Design

\```mermaid
graph LR
  ...
\```

| Decision | Choice | Why |
|----------|--------|-----|
| Storage | SQLite | Single machine, no need for Postgres |
| Auth | API key | Internal tool, simplicity wins |

## Pseudocode
\```
on_request(order):
  validate(order.fields)
  enriched = fetch_market_data(order.ticker)
  if enriched.price > order.limit: reject("above limit")
  queue.push(enriched)
  return accepted(order.id)
\```

## Tasks
- [x] Design approved
- [ ] Implement core handler
- [ ] Add validation
- [ ] Write tests
- [ ] Update ARCHITECTURE.md

## Open Questions
- How to handle partial fills? → decided: treat as separate orders

Rules:

  • Spec first, code second. Don't start implementation without an approved plan.
  • Keep them alive. Check off tasks, update decisions, close questions.
  • Delete when done. Completed plans can be archived or removed. They served their purpose.
  • One plan per feature/initiative. Don't combine unrelated work.

Writing Principles

PrincipleInstead ofWrite
Show, don't describe"The system uses a pub/sub pattern for async communication between services"A mermaid diagram showing the flow
Tables over listsA bullet list of 8 config options with descriptionsA table with columns: option, type, default, description
Pseudocode over real codeA 40-line Go functionvalidate → enrich → enqueue → respond
Capabilities over paths"src/internal/worker/handler.go processes jobs""The worker processes background jobs from the queue"
Short sentences"The system is designed to handle the processing of incoming orders by first validating them and then...""Orders are validated, then queued for processing."

Lifecycle

Before Work

Read AGENTS.md, docs/ARCHITECTURE.md, and any relevant docs/plans/*.md. Understand what exists before changing anything.

After Work

Update what changed:

  • New component? Update docs/ARCHITECTURE.md diagram.
  • Finished a plan task? Check it off in docs/plans/*.md.
  • New convention or gotcha? Add to AGENTS.md.
  • Plan fully done? Delete or archive it.

Keeper Mode

When invoked explicitly as papyrus-maximus:

  1. Ensure structure — AGENTS.md exists, CLAUDE.md symlinked, docs/ and docs/plans/ exist
  2. Audit — are docs accurate? Do diagrams match reality? Any stale plans?
  3. Fix — update what you can. Create missing diagrams. Trim bloat.
  4. Flag — report what needs human attention
  5. Trim — AGENTS.md under 150 lines. README under 80 lines. Move overflow to docs/.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.89%
按下载量换算40

Claude

32.59%
按下载量换算39

Cursor

17.61%
按下载量换算21

Gemini CLI

9.42%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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