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Agent Skill · 开发

papyrus-maximus(最大纸莎草)

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。

papyrus-maximus 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 17,869。

总安装 374周安装 15GitHub Stars 2下载 121核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

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。

来源仓库内路径:skills/papyrus-maximus

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/uinaf/skills --skill papyrus-maximus;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

papyrus-maximus 怎么安装?

在终端执行 npx skills add https://github.com/uinaf/skills --skill papyrus-maximus。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

papyrus-maximus 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

papyrus-maximus 需要什么权限?

权限级别是接触敏感数据。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。

papyrus-maximus 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

papyrus-maximus 用的人多吗?

公开数据是累计安装 374 次,近一周安装 15 次,下载 121 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

papyrus-maximus 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
papyrus-maximus

最大纸莎草 · 本页

3742接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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/.

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

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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