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Agent Skill · 研究检索

ln-001-standards-researcher(ln 001 标准研究员)

ln-001-standards-researcher 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。

ln-001-standards-researcher 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,权限为可写文件;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 29,688。

总安装 3,011周安装 123GitHub Stars 441下载 974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
MIT

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:ln-001-standards-researcher(ln 001 标准研究员)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-001-standards-researcher
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-001-standards-researcher
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-001-standards-researcher

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。

用于查找和筛选与 ln-001 标准相关的信息。适合根据关键词快速定位技术规范或合规要求。通过 GitHub 安装,需结合原始 README 验证功能。建议在使用前评估对业务流程的影响。ln-001-standards-researcher 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

注意结果时效性,确保引用标准仍为最新版本。

来源仓库内路径:skills/ln-001-standards-researcher

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/levnikolaevich/claude-code-skills --skill ln-0…;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

    它需要可写文件,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

ln-001-standards-researcher 怎么安装?

在终端执行 npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-001-standar…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ln-001-standards-researcher 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。

ln-001-standards-researcher 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

ln-001-standards-researcher 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ln-001-standards-researcher 用的人多吗?

公开数据是累计安装 3,011 次,近一周安装 123 次,下载 974 次,GitHub 441 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。

ln-001-standards-researcher 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
ln-001-standards-researcher

ln 001 标准研究员 · 本页

3,011441可写文件MIT有提醒

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

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.

Standards Researcher (Worker)

This skill researches industry standards and architectural patterns using MCP Ref to generate Standards Research for Story Technical Notes.

Purpose

Research industry standards, RFCs, and architectural patterns for a given Epic/Story domain. Produce a Standards Research section (tables + links, no code) for insertion into Story Technical Notes.

When to Use This Skill

This skill should be used when:

  • Need to research standards and patterns BEFORE Story generation (ensures tasks follow industry best practices)
  • Epic Technical Notes mention specific standards requiring documentation (OAuth, OpenAPI, WebSocket)
  • Prevent situations where tasks use outdated patterns or violate RFC compliance
  • Reusable for ANY skill requiring standards research

Workflow

The skill follows a 7-phase workflow focused on standards and architectural patterns.

Stack Detection → Identify → Ref Research → Existing Guides → Generate Research → Save to File → Return

Phase 0: Stack Detection

Objective: Determine project stack BEFORE research to filter queries.

Detection:

IndicatorStackQuery Prefix
*.csproj, *.sln.NET"C# ASP.NET Core"
package.json + tsconfig.jsonNode.js"TypeScript Node.js"
requirements.txt, pyproject.tomlPython"Python"
go.modGo"Go Golang"
Cargo.tomlRust"Rust"
build.gradle, pom.xmlJava"Java"

Process:

  1. Check context_store.TECH_STACK if provided → use directly
  2. Else: Glob for indicator files in project root
  3. Store detected_stack.query_prefix for Phases 2-3

Output: detected_stack = {language, framework, query_prefix}

Skip conditions: If no stack detected → proceed without prefix (generic queries)


Phase 1: Identify Libraries

Objective: Parse Epic/Story for libraries and technology keywords.

Process:

  1. Read Epic/Story description (provided as input)

- Parse Epic Technical Notes for mentioned libraries/frameworks - Parse Epic Scope In for technology keywords (authentication, rate limiting, payments, etc.) - Identify Story domain from Epic goal statement (e.g., "Add rate limiting" → domain = "rate limiting")

  1. Extract library list:

- Primary libraries (explicitly mentioned) - Inferred libraries (e.g., "REST API" → FastAPI, "caching" → Redis) - Filter out well-known libraries with stable APIs (e.g., requests, urllib3)

  1. Determine Story domain:

- Extract from Epic goal or Story title - Examples: rate limiting, authentication, payment processing, file upload

Output: Library list (3-5 libraries max) + Story domain

Skip conditions:

  • NO libraries mentioned in Epic → Output empty Research Summary
  • Trivial CRUD operation with well-known libraries → Output empty Research Summary
  • Epic explicitly states "research not needed" → Skip

Phase 2: MCP Ref Research

Objective: Get industry standards and architectural patterns.

Process:

  1. Focus on standards/RFCs:

- Call mcp__Ref__ref_search_documentation(query="[detected_stack.query_prefix] [story_domain] RFC standard specification") - Example: "C# ASP.NET Core rate limiting RFC standard specification" - Extract: RFC/spec references (OAuth 2.0 RFC 6749, OpenAPI 3.0, WebSocket RFC 6455)

  1. Focus on architectural patterns:

- Call mcp__Ref__ref_search_documentation(query="[detected_stack.query_prefix] [story_domain] architectural patterns best practices") - Example: "TypeScript Node.js authentication architectural patterns best practices" - Extract: Middleware, Dependency Injection, Decorator pattern

Output: Standards compliance table + Architectural patterns list


Phase 3: MCP Ref Research

Objective: Get industry standards and best practices.

Process:

  1. FOR EACH library + Story domain combination:

- Call mcp__Ref__ref_search_documentation(query="[detected_stack.query_prefix] [library] [domain] best practices {current_year}") - Call mcp__Ref__ref_search_documentation(query="[detected_stack.query_prefix] [domain] industry standards RFC") - Example: "C# ASP.NET Core Polly rate limiting best practices {current_year}"

  1. Extract from results (NO CODE - text/tables only):

- Industry standards (RFC/spec references: OAuth 2.0, REST API, OpenAPI 3.0) - Common patterns (do/don't descriptions, anti-patterns to avoid) - Integration approaches (middleware, dependency injection, decorators) - Security considerations (OWASP compliance, vulnerability mitigation) - Official docs URLs (link to stack-appropriate authoritative sources)

  1. Store results for Research Summary compilation

Output: Standards compliance table (RFC/Standard name, how to comply) + Best practices list


Phase 4: Scan Existing Guides

Objective: Find relevant pattern guides in docs/guides/ directory.

Process:

  1. Scan guides directory:

- Use Glob to find docs/guides/*.md - Read guide filenames

  1. Match guides to Story domain:

- Match keywords (e.g., rate limiting guide for rate limiting Story) - Fuzzy match (e.g., "authentication" matches "auth.md", "oauth.md")

  1. Collect guide paths for linking in Technical Notes

Output: Existing guides list (relative paths from project root)


Phase 5: Generate Standards Research

Objective: Compile research results into Standards Research for Story Technical Notes subsection.

NO_CODE Rule: No code snippets. Use tables + links to official docs only.

Format Priority:

┌─────────────────────────────────────┐
│ 1. TABLES + ASCII diagrams ← Priority │
│ 2. Lists (enumerations only)        │
│ 3. Text (last resort)               │
└─────────────────────────────────────┘

Output Format (Table-First):

## Standards Research

**Standards compliance:**

| Standard | Requirement | How to Comply | Reference |
|----------|-------------|---------------|-----------|
| RFC 6749 | OAuth 2.0 | Use PKCE for public clients | [RFC 6749](url) |
| RFC 6585 | Rate Limiting | Return 429 + Retry-After | [RFC 6585](url) |

**Architectural patterns:**

| Pattern | When to Use | Reference |
|---------|-------------|-----------|
| Middleware | Request interception | [Official docs](url) |
| Decorator | Cross-cutting concerns | [Official docs](url) |

**Existing guides:**
- [guide_path.md](guide_path.md) - Brief description

Output: Standards Research (Markdown string) for insertion into Story Technical Notes subsection

Important notes:

  • Focus on STANDARDS and PATTERNS only (no library details - libraries researched at Task level)
  • Prefer official docs and RFC standards over blog posts
  • Link to stack-appropriate docs (Microsoft docs for.NET, MDN for JS, etc.)
  • If Standards Research is empty (no standards/patterns) → Skip Phase 6, return "No standards research needed"

Phase 6: Save Research to File

Objective: Save Standards Research to standalone file for reusability and knowledge base.

MANDATORY: All research MUST be saved to file, even if returned as string to caller.

Process:

  1. Determine next research number:

- Glob for docs/research/rsh-*.md files - Extract numbers, find max - Next number = max + 1 (or 001 if no files exist)

  1. Generate filename:

- Format: rsh-{number:03d}-{slug}.md - Slug from story_domain (e.g., "rate-limiting", "oauth-authentication") - Example: rsh-042-rate-limiting.md

  1. Create research document using template:
# Standards Research: {Story Domain}

**Created:** {ISO date}
**Epic:** {Epic ID if available}
**Research Type:** Standards & Architectural Patterns

## Question

What industry standards and architectural patterns apply to {story_domain}?

## Context

{Brief description from Epic/Story}

## Methodology

- **Standards:** MCP Ref search for RFCs and specifications
- **Patterns:** MCP Ref search for architectural patterns and best practices
- **Stack:** {detected_stack.language} {detected_stack.framework}

## Findings

{Insert Standards Research content from Phase 5 here}

## Conclusions

{1-2 sentences summarizing key standards/patterns that must be followed}

## Next Steps

- Reference this research in Story Technical Notes
- Link from architecture.md if patterns affect system design
- Create ADR if architectural decision needed

## Sources

{List of all MCP Ref search URLs with dates}
  1. Save file:

- Write to docs/research/{filename} - If docs/research/ doesn't exist: create directory - Validate file saved successfully

  1. Update README (if exists):

- Check for docs/research/README.md - If exists and has <!-- PLACEHOLDER -->: append research entry - Format: - [{filename}]({filename}) - {one-line summary}

Output: File path (e.g., docs/research/rsh-042-rate-limiting.md)

Skip conditions:

  • Standards Research is empty → do not create file
  • Target directory missing and cannot be created → warn user, skip file creation

Phase 7: Return Results

Return to calling skill (ln-220, ln-310):

  1. Standards Research string (Markdown) for insertion into Story Technical Notes
  2. File path (string) for linking: docs/research/rsh-{NNN}-{slug}.md

Format:

{
  "standards_research": "<markdown string>",
  "file_path": "docs/research/rsh-042-rate-limiting.md"
}

If calling skill expects only string, return Standards Research string only. File is created regardless.


Integration

Dependencies:

  • MCP Ref (ref_search_documentation) - industry standards and patterns
  • Glob (scan docs/guides/)

Input parameters:

  • epic_description (string) - Epic Technical Notes + Scope In + Goal
  • story_domain (string, optional) - Story domain (e.g., "rate limiting")

Output format:

  • Primary: Markdown string (Standards Research for Story Technical Notes subsection)
  • Secondary: File path (string): docs/research/rsh-{NNN}-{slug}.md
  • Content: Standards + Patterns (libraries researched at Task level)
  • Note: File is ALWAYS created (Phase 6)

Time-Box and Performance

Time-box: 15-20 minutes maximum per Epic

Performance:

  • Research is done ONCE per Epic
  • Results reused for all Stories (5-10 Stories benefit from single research)
  • Parallel MCP calls when possible (Context7 + Ref)

Token efficiency:

  • Context7: max 3000 tokens per library
  • Total: ~10,000 tokens for typical Epic (3-4 libraries)

Critical Rules

  • MANDATORY FILE CREATION: All research MUST be saved to docs/research/rsh-{NNN}-{slug}.md file (Phase 6); no exceptions
  • NO_CODE: Output contains tables and links to official docs only; no code snippets
  • Format Priority: Tables + ASCII diagrams first, lists second, text last resort
  • Stack-aware queries: All MCP Ref calls must include detected query_prefix (e.g., "C# ASP.NET Core")
  • Standards over libraries: Focus on RFCs and architectural patterns; library details are researched at Task level
  • Time-box: Maximum 15-20 minutes per Epic; research is done once and reused for all Stories

Definition of Done

  • Stack detected (or skipped if undetectable) and query_prefix set
  • Libraries and Story domain extracted from Epic/Story description
  • MCP Ref research completed for standards/RFCs and architectural patterns
  • Existing guides in docs/guides/ scanned and matched
  • Standards Research output generated in Markdown (tables + links, no code)
  • Research saved to file: docs/research/rsh-{NNN}-{slug}.md created with all required sections
  • README updated (if docs/research/README.md exists and has placeholder)
  • Output returned to calling skill: Standards Research string + file path

Reference Files

Tools:

  • mcp__Ref__ref_search_documentation() - Search best practices and standards
  • Glob - Scan docs/guides/ directory

Guidelines:

  • MANDATORY READ: Load references/research_guidelines.md — research quality guidelines (official docs > blog posts, prefer LTS versions)
  • MANDATORY READ: Load shared/references/research_tool_fallback.md

Version: 3.1.0 Last Updated: 2026-02-14

平台分布

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23.88%
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Codex

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OpenCode

11.16%
按下载量换算109

Antigravity

7.38%
按下载量换算72

windsurf

3.32%
按下载量换算32

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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