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Agent Skill · 研究检索

scan-backend-patterns(扫描后端模式)

scan-backend-patterns 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

scan-backend-patterns 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 67,439。

总安装 245周安装 10GitHub Stars 6下载 78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:scan-backend-patterns(扫描后端模式)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/scan-backend-patterns
安装命令:
npx skills add https://github.com/duc01226/easyplatform --skill scan-backend-patterns
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/duc01226/easyplatform --skill scan-backend-patterns

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

scan-backend-patterns 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于根据关键词、任务场景或来源线索进行信息搜集与整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

建议确认权限范围和维护状态,避免触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/scan-backend-patterns

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/duc01226/easyplatform --skill scan-backend-pat…;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

    它需要需要联网,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

scan-backend-patterns 怎么安装?

在终端执行 npx skills add https://github.com/duc01226/easyplatform --skill scan-backend-patterns。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

scan-backend-patterns 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。

scan-backend-patterns 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

scan-backend-patterns 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。

scan-backend-patterns 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 78 次,GitHub 6 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。

scan-backend-patterns 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

  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
scan-backend-patterns

扫描后端模式 · 本页

2456需要联网未明确通过

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

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

Prerequisites: MUST ATTENTION READ before executing:

Scan & Update Reference Doc — Surgical updates only, never full rewrite. 1. Read existing doc first — understand current structure and manual annotations 2. Detect mode: Placeholder (only headings, no content) → Init mode. Has content → Sync mode. 3. Scan codebase for current state (grep/glob for patterns, counts, file paths) 4. Diff findings vs doc content — identify stale sections only 5. Update ONLY sections where code diverged from doc. Preserve manual annotations. 6. Update metadata (date, counts, version) in frontmatter or header 7. NEVER rewrite entire doc. NEVER remove sections without evidence they're obsolete.
Output Quality — Token efficiency without sacrificing quality. 1. No inventories/counts — AI can grep | wc -l. Counts go stale instantly 2. No directory trees — AI can glob/ls. Use 1-line path conventions 3. No TOCs — AI reads linearly. TOC wastes tokens 4. No examples that repeat what rules say — one example only if non-obvious 5. Lead with answer, not reasoning. Skip filler words and preamble 6. Sacrifice grammar for concision in reports 7. Unresolved questions at end, if any

Quick Summary

Goal: Scan backend codebase and populate docs/project-reference/backend-patterns-reference.md with actual repository patterns, CQRS command/query structures, validation patterns, entity conventions, event handlers, and migration approaches. (content auto-injected by hook — check for [Injected:...] header before reading)

Workflow:

  1. Read — Load current target doc, detect init vs sync mode
  2. Scan — Discover backend patterns via parallel sub-agents
  3. Report — Write findings to external report file
  4. Generate — Build/update reference doc from report
  5. Verify — Validate code examples reference real files

Key Rules:

  • Generic — works with any backend framework (.NET, Node.js, Java, etc.)
  • Detect framework first, then scan for framework-specific patterns
  • Every code example must come from actual project files with file:line references

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Scan Backend Patterns

Phase 0: Read & Assess

  1. Read docs/project-reference/backend-patterns-reference.md
  2. Detect mode: init (placeholder) or sync (populated)
  3. If sync: extract existing sections and note what's already well-documented

Phase 1: Plan Scan Strategy

Detect backend framework:

  • .csproj files →.NET (check for MediatR, CQRS patterns)
  • package.json with express/fastify/nestjs → Node.js
  • pom.xml / build.gradle → Java/Kotlin
  • requirements.txt / pyproject.toml → Python

Use docs/project-config.json contextGroups/modules if available for service paths.

Phase 2: Execute Scan (Parallel Sub-Agents)

Launch 3 Explore agents in parallel:

Agent 1: Repository & Entity Patterns

  • Grep for repository interfaces (interface I*Repository, extends Repository)
  • Find entity/model classes (base class inheritance, attributes/annotations)
  • Find DTO classes and mapping patterns (AutoMapper, manual mapping, MapTo* methods)
  • Discover data access patterns (Unit of Work, DbContext, MongoDB collections)
  • Look for extension methods on repositories

Agent 2: CQRS & Command/Query Patterns

  • Grep for command handlers (IRequestHandler, CommandHandler, @CommandHandler)
  • Grep for query handlers, query objects
  • Find validation patterns (FluentValidation, class-level validators, middleware)
  • Discover request/response wrapper patterns (Result, ApiResponse)
  • Find authorization attributes/decorators on handlers

Agent 3: Events, Migrations & Infrastructure

  • Grep for event handlers, domain events, integration events
  • Find message bus consumers/publishers (MassTransit, RabbitMQ, Kafka patterns)
  • Discover migration patterns (EF migrations, Flyway, custom migrators)
  • Find background job patterns (Hangfire, Quartz, hosted services)
  • Grep for middleware, filters, interceptors

Write all findings to: plans/reports/scan-backend-patterns-{YYMMDD}-{HHMM}-report.md

Phase 3: Analyze & Generate

Read the report. Build these sections:

Target Sections

SectionContent
Repository PatternInterface naming, base classes, service-specific repos, extension methods with examples
CQRS PatternsCommand structure, query structure, handler patterns, file organization conventions
Validation PatternsValidation approach (fluent API, attributes, etc.), common rules, error response format
Entity PatternsBase classes, property conventions, factory methods, domain logic placement
DTO MappingMapping approach, who owns mapping (DTO, handler, or service), examples
Event HandlersDomain events vs integration events, handler discovery, side-effect placement
Message BusCross-service communication patterns, consumer conventions, message contracts
MigrationsMigration strategy, naming conventions, data migration patterns
Background JobsJob scheduling, recurring jobs, one-time jobs, conventions
AuthorizationAuth patterns, permission checks, role-based access

Content Rules

  • Show actual code snippets (5-15 lines) from the project with file:line references
  • Include "DO" and "DON'T" examples where anti-patterns are clear
  • Use tables for convention summaries (naming, file locations, base classes)
  • Group patterns by concern, not by framework feature

Phase 4: Write & Verify

  1. Write updated doc with <!-- Last scanned: YYYY-MM-DD --> at top
  2. Verify: 5 code example file paths exist (Glob check)
  3. Verify: class names in examples match actual class definitions
  4. Report: sections updated, patterns discovered, coverage gaps

Closing Reminders

  • IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
  • IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
  • IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
  • IMPORTANT MUST ATTENTION read existing doc first, scan codebase, diff, surgical update only. Never rewrite entire doc.
  • IMPORTANT MUST ATTENTION follow output quality rules: no counts/trees/TOCs, rules > descriptions, 1 example per pattern, primacy-recency anchoring.

平台分布

Codex

36.12%
按下载量换算28

Claude

29.54%
按下载量换算23

Cursor

16.19%
按下载量换算13

Gemini CLI

8.86%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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