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rsdoctor-analysis医生分析

Agent Skill

rsdoctor-analysis 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。

总安装

3,034

周安装

129

GitHub Stars

64

下载量

1,063
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:rsdoctor-analysis(医生分析)
来源仓库:https://github.com/rstackjs/agent-skills
仓库路径:skills/rsdoctor-analysis
安装命令:
npx skills add https://github.com/rstackjs/agent-skills --skill rsdoctor-analysis
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/rstackjs/agent-skills --skill rsdoctor-analysis

简介

rsdoctor-analysis 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 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。
  • 当前顶部介绍为空,需参考原始 SKILL.md 获取详细功能说明。

SKILL.md

Rsdoctor Analysis Assistant Skill

Use @rsdoctor/agent-cli to read rsdoctor-data.json and provide evidence-based optimization recommendations.

Use the latest version of @rsdoctor/agent-cli, and ensure @rsdoctor/rspack-plugin is >= 1.5.9.

Response order (required): High-Priority Issues -> Proposed Solutions -> Optional Reference-Chain Follow-up Choices -> Next Deep-Dive Issue Categories (Not commands).

Guardrails

  • Default behavior is read-only analysis.
  • Use @rsdoctor/agent-cli for bundle data access; prefer background execution when possible, then collect and summarize outputs.
  • Reuse already returned results from current context whenever possible. Do not re-run the same subcommand unless required fields are missing or the user asks for a refresh.
  • Every @rsdoctor/agent-cli data-fetch command supports --filter; use it by default to keep only fields required for the current question.
  • Build --filter field selections from reference/rsdoctor-data-types.md so field names match @rsdoctor/types instead of guessing from raw output.
  • For side-effects investigations, use small pagination (--page-size 10 / --side-effects-page-size 10). Do not use oversized page sizes.
  • For retained emitted module analysis, prefer tree-shaking retained-modules with --emitted-only, bounded --category, --sort gzipSize, --limit, and a narrow --filter.
  • For broader tree-shaking issues, use tree-shaking summary directly and control output with --filter plus --compact where useful.
  • Treat tree-shaking bailout-reasons as high-volume by default. Do not run it unless the user explicitly asks for bailout reason analysis, and always pass the target module list with --modules (maximum 100 modules).
  • Use a per-step token budget gate: if one command exceeds 20k tokens (o200k_base) or raw output exceeds 2 MB, stop adding broad-scope commands and switch to filtered or targeted queries.
  • For duplicate packages and tree-shaking issues, do first-pass issue identification by default. Do not immediately trace reference/import chains.
  • At the end of analysis, provide next-step choices and let the user decide whether to continue with reference-chain tracing.
  • Do not modify user code/config except these explicit cases:

- install: install @rsdoctor/rspack-plugin or @rsdoctor/webpack-plugin, and update package.json. - config: add Rsdoctor plugin config to supported config files.

  • Optional verification workflow (only with user confirmation):

- If the goal is to validate optimization impact, you may adjust splitChunks and re-run build to compare results. - Ask for user confirmation before modifying splitChunks and before re-running build.

  • In Codex, do not run install or build inside sandbox.
  • For all analysis commands, provide recommendations only. Do not auto-apply optimization edits.

Workflow

  1. Locate or verify rsdoctor-data.json. If it is missing or plugin setup is needed, use the install references below.
  2. Choose the command from reference/command-map.md. Start with list + query when possible; fall back to direct <group> <subcommand> when needed.
  3. Before each data fetch, choose the minimal fields needed for the current question, map them with reference/rsdoctor-data-types.md, and pass --filter.
  4. For common cases such as similar packages, media assets, bundle optimization, duplicate packages, and tree-shaking questions, use reference/common-analysis-patterns.md.
  5. Synthesize findings in the required response format. Ask before chain tracing or optimization verification.

References

Response Format

  1. High-priority issues in current build data:

- Include concrete evidence (size/time/count/path/rule code).

  1. Proposed solutions:

- Provide actionable recommendations with priority (High/Med/Low).

  1. Optional reference-chain follow-up choices:

- For duplicate packages and tree-shaking issues, provide a short "continue tracing vs stop here" choice. - Only trace chains after user confirmation.

  1. Whether deeper analysis is still needed:

- List remaining gaps by issue categories (for example: dependency duplication, chunking strategy, tree-shaking barriers, loader cost, asset volume). - Do not output suggested commands in this section; output category-level follow-up directions only.

Formatting:

  • For Top-N insights, prefer a table: Name | Volume/Time | Count | Recommendation.
  • For large output, use --compact.

Troubleshooting

  • rsdoctor-data.json missing:

- Configure plugin and run RSDOCTOR=true npm run build.

  • Command not found:

- Verify npx @rsdoctor/agent-cli@latest list works in current shell. - If using binary mode, verify rsdoctor-agent exists in PATH.

  • query reports unknown tool:

- Run list and use one of the catalog tool names, or switch to direct <group> <subcommand> mode.

  • Build/install blocked in sandbox:

- Re-run outside sandbox.

  • JSON read error:

- Verify file path, JSON validity, and permissions.

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

36.45%
按下载量换算387

Claude

27.39%
按下载量换算291

Cursor

18.42%
按下载量换算196

Gemini CLI

8.97%
按下载量换算95

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/rstackjs/agent-skills --skill rsdoctor-analysis 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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