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Agent Skill · 研究检索

recipe-reverse-engineer(配方逆向工程师)

recipe-reverse-engineer 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。

recipe-reverse-engineer 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,权限为只读;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 64,698。

总安装 294周安装 12GitHub Stars 323下载 95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:recipe-reverse-engineer(配方逆向工程师)
来源仓库:https://github.com/shinpr/claude-code-workflows
仓库路径:skills/recipe-reverse-engineer
安装命令:
npx skills add https://github.com/shinpr/claude-code-workflows --skill recipe-reverse-engineer
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/shinpr/claude-code-workflows --skill recipe-reverse-engineer

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。

recipe-reverse-engineer 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、任务场景快速定位候选结果。通过命令行调用,需提供查询目标和筛选条件。安装前建议确认权限范围和维护状态,注意可能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/recipe-reverse-engineer

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/shinpr/claude-code-workflows --skill recipe-re…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

recipe-reverse-engineer 怎么安装?

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

recipe-reverse-engineer 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。

recipe-reverse-engineer 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

recipe-reverse-engineer 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。

recipe-reverse-engineer 用的人多吗?

公开数据是累计安装 294 次,近一周安装 12 次,下载 95 次,GitHub 323 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。

recipe-reverse-engineer 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
recipe-reverse-engineer

配方逆向工程师 · 本页

294323只读未明确未通过

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

Context: Reverse engineering workflow to create documentation from existing code

Target: $ARGUMENTS

Orchestrator Definition

Core Identity: "I am an orchestrator."

Execution Protocol:

  1. Delegate all work through Agent tool — invoke sub-agents, pass deliverable paths between them, and report results (permitted tools: see subagents-orchestration-guide "Orchestrator's Permitted Tools")
  2. Process one step at a time: Execute steps sequentially within each unit (2 → 3 → 4 → 5). Each step's output is the required input for the next step. Complete all steps for one unit before starting the next
  3. Pass $STEP_N_OUTPUT as-is to sub-agents — the orchestrator bridges data without processing or filtering it

Task Registration: Register phases first using TaskCreate, then steps within each phase as you enter it. Update status using TaskUpdate.

Step 0: Initial Configuration

0.1 Scope Confirmation

Use AskUserQuestion to confirm:

  1. Target path: Which directory/module to document
  2. Depth: PRD only, or PRD + Design Docs
  3. Reference Architecture: layered / mvc / clean / hexagonal / none
  4. Human review: Yes (recommended) / No (fully autonomous)
  5. Fullstack design: Yes / No

- Yes: For each functional unit, generate backend + frontend Design Docs - Note: Requires both agents (technical-designer, technical-designer-frontend)

0.2 Output Configuration

  • PRD output: docs/prd/ or existing PRD directory
  • Design Doc output: docs/design/ or existing design directory
  • Verify directories exist, create if needed

Workflow Overview

Phase 1: PRD Generation
  Step 1: Scope Discovery (unified, single pass → group into PRD units → human review)
  Step 2-5: Per-unit loop (Generation → Verification → Review → Revision)

Phase 2: Design Doc Generation (if requested)
  Step 6: Design Doc Scope Mapping (reuse Step 1 results, no re-discovery)
  Step 7-10: Per-unit loop (Generation → Verification → Review → Revision)
  ※ fullstack=Yes: each unit produces backend + frontend Design Docs

Phase 1: PRD Generation

Register using TaskCreate:

  • Step 1: PRD Scope Discovery
  • Per-unit processing (Steps 2-5 for each unit)

Step 1: PRD Scope Discovery

Agent tool invocation:

subagent_type: dev-workflows:scope-discoverer
description: "Discover functional scope"
prompt: |
  Discover functional scope targets in the codebase.

  target_path: $USER_TARGET_PATH
  reference_architecture: $USER_RA_CHOICE
  focus_area: $USER_FOCUS_AREA (if specified)

Store output as: $STEP_1_OUTPUT

Quality Gate:

  • At least one unit discovered → proceed
  • No units discovered → ask user for hints
  • $STEP_1_OUTPUT.prdUnits exists
  • All sourceUnits across prdUnits (flattened, deduplicated) match the set of discoveredUnits IDs — no unit missing, no unit duplicated
  • Each discovered unit's unitInventory has at least one non-empty category (routes, testFiles, or publicExports). Units with all three empty indicate incomplete discovery — re-run scope-discoverer with focus on that unit's relatedFiles

Human Review Point (if enabled): Present $STEP_1_OUTPUT.prdUnits with their source unit mapping. The user confirms, adjusts grouping, or excludes units from scope. This is the most important review point — incorrect grouping cascades into all downstream documents.

Step 2-5: Per-Unit Processing

FOR each unit in $STEP_1_OUTPUT.prdUnits (sequential, one unit at a time):

Step 2: PRD Generation

Agent tool invocation:

subagent_type: dev-workflows:prd-creator
description: "Generate PRD"
prompt: |
  Create reverse-engineered PRD for the following feature.

  Operation Mode: reverse-engineer
  External Scope Provided: true

  Feature: $PRD_UNIT_NAME (from $STEP_1_OUTPUT)
  Description: $PRD_UNIT_DESCRIPTION
  Related Files: $PRD_UNIT_COMBINED_RELATED_FILES
  Entry Points: $PRD_UNIT_COMBINED_ENTRY_POINTS

  Use provided scope as investigation starting point.
  If tracing entry points reveals files outside this scope, include them.
  Create final version PRD based on thorough code investigation.

Store output as: $STEP_2_OUTPUT (PRD path)

Step 3: Code Verification

Prerequisite: $STEP_2_OUTPUT (PRD path from Step 2)

Agent tool invocation:

subagent_type: dev-workflows:code-verifier
description: "Verify PRD consistency"
prompt: |
  Verify consistency between PRD and code implementation.

  doc_type: prd
  document_path: $STEP_2_OUTPUT
  verbose: false

Note: Omit code_paths — the verifier independently discovers code scope from the document, ensuring independent verification not constrained by scope-discoverer's output.

Store output as: $STEP_3_OUTPUT

Quality Gate:

  • consistencyScore >= 70 AND verifiableClaimCount >= 20 → proceed to review
  • consistencyScore >= 70 BUT verifiableClaimCount < 20 → re-run verifier (investigation too shallow)
  • consistencyScore < 70 → flag for detailed review
Step 4: Review

Required Input: $STEP_3_OUTPUT (verification JSON from Step 3)

Agent tool invocation:

subagent_type: dev-workflows:document-reviewer
description: "Review PRD"
prompt: |
  Review the following PRD considering code verification findings.

  doc_type: PRD
  target: $STEP_2_OUTPUT
  mode: composite
  code_verification: $STEP_3_OUTPUT

  ## Additional Review Focus
  - Alignment between PRD claims and verification evidence
  - Resolution recommendations for each discrepancy
  - Completeness of undocumented feature coverage

Store output as: $STEP_4_OUTPUT

Step 5: Revision (conditional)

Trigger Conditions (any one of the following):

  • Review status is "Needs Revision" or "Rejected"
  • Critical discrepancies exist in $STEP_3_OUTPUT
  • consistencyScore < 70

Agent tool invocation:

subagent_type: dev-workflows:prd-creator
description: "Revise PRD"
prompt: |
  Update PRD based on review feedback and code verification results.

  Operation Mode: update
  Existing PRD: $STEP_2_OUTPUT

  ## Review Feedback
  $STEP_4_OUTPUT

  ## Code Verification Results
  $STEP_3_OUTPUT

  Address discrepancies by severity. Critical and major items require correction.
  Minor items: correct if straightforward, otherwise leave as-is with rationale.

Loop Control: Maximum 2 revision cycles. After 2 cycles, flag for human review regardless of status.

Unit Completion
  • Review status is "Approved" or "Approved with Conditions"
  • Human review passed (if enabled in Step 0)

Next: Proceed to next unit. After all units → Phase 2.

Phase 2: Design Doc Generation

*Execute only if Design Docs were requested in Step 0*

Register using TaskCreate:

  • Step 6: Design Doc Scope Mapping
  • Per-unit processing (Steps 7-10 for each unit)

Step 6: Design Doc Scope Mapping

No additional discovery required. Use $STEP_1_OUTPUT.discoveredUnits (implementation-granularity units) for technical profiles. Use $STEP_1_OUTPUT.prdUnits[].sourceUnits to trace which discovered units belong to each PRD unit.

Each PRD unit from Phase 1 maps to Design Doc unit(s):

  • Standard mode (fullstack=No): 1 PRD unit → 1 Design Doc (using technical-designer)
  • Fullstack mode (fullstack=Yes): 1 PRD unit → 2 Design Docs (technical-designer + technical-designer-frontend)

Map $STEP_1_OUTPUT units to Design Doc generation targets, carrying forward:

  • technicalProfile.primaryModules → Primary Files
  • technicalProfile.publicInterfaces → Public Interfaces
  • dependencies → Dependencies
  • relatedFiles → Scope boundary
  • unitInventory → Unit Inventory (routes, test files, public exports)

Store output as: $STEP_6_OUTPUT

Step 7-10: Per-Unit Processing

FOR each unit in $STEP_6_OUTPUT (sequential, one unit at a time):

Step 7: Design Doc Generation

Scope: Document the current architecture exactly as implemented in code.

Standard mode (fullstack=No):

Agent tool invocation:

subagent_type: dev-workflows:technical-designer
description: "Generate Design Doc"
prompt: |
  Create Design Doc for the following feature based on existing code.

  Operation Mode: reverse-engineer

  Feature: $UNIT_NAME (from $STEP_6_OUTPUT)
  Description: $UNIT_DESCRIPTION
  Primary Files: $UNIT_PRIMARY_MODULES
  Public Interfaces: $UNIT_PUBLIC_INTERFACES
  Dependencies: $UNIT_DEPENDENCIES
  Unit Inventory: $UNIT_INVENTORY (routes, test files, public exports from scope discovery)

  Parent PRD: $APPROVED_PRD_PATH

  Document current architecture as-is. Use Unit Inventory as a completeness baseline — all routes and exports should be accounted for in the Design Doc.

Store output as: $STEP_7_OUTPUT

Fullstack mode (fullstack=Yes):

For each unit, invoke 7a then 7b sequentially (7b depends on 7a output):

7a. Backend Design Doc:

subagent_type: dev-workflows:technical-designer
description: "Generate backend Design Doc"
prompt: |
  Create a backend Design Doc for the following feature based on existing code.

  Operation Mode: reverse-engineer

  Feature: $UNIT_NAME (from $STEP_6_OUTPUT)
  Description: $UNIT_DESCRIPTION
  Primary Files: $UNIT_PRIMARY_MODULES
  Public Interfaces: $UNIT_PUBLIC_INTERFACES
  Dependencies: $UNIT_DEPENDENCIES
  Unit Inventory: $UNIT_INVENTORY

  Parent PRD: $APPROVED_PRD_PATH

  Focus on: API contracts, data layer, business logic, service architecture.
  Document current architecture as-is. Use Unit Inventory as completeness baseline.

Store output as: $STEP_7a_OUTPUT

7b. Frontend Design Doc:

subagent_type: dev-workflows-frontend:technical-designer-frontend
description: "Generate frontend Design Doc"
prompt: |
  Create a frontend Design Doc for the following feature based on existing code.

  Operation Mode: reverse-engineer

  Feature: $UNIT_NAME (from $STEP_6_OUTPUT)
  Description: $UNIT_DESCRIPTION
  Primary Files: $UNIT_PRIMARY_MODULES
  Public Interfaces: $UNIT_PUBLIC_INTERFACES
  Dependencies: $UNIT_DEPENDENCIES
  Unit Inventory: $UNIT_INVENTORY

  Parent PRD: $APPROVED_PRD_PATH
  Backend Design Doc: $STEP_7a_OUTPUT

  Reference backend Design Doc for API contracts.
  Focus on: component hierarchy, state management, UI interactions, data fetching.
  Document current architecture as-is. Use Unit Inventory as completeness baseline.

Store output as: $STEP_7b_OUTPUT

Step 8: Code Verification

Standard mode: Verify $STEP_7_OUTPUT.

Fullstack mode: Verify each Design Doc separately.

Agent tool invocation (per Design Doc):

subagent_type: dev-workflows:code-verifier
description: "Verify Design Doc consistency"
prompt: |
  Verify consistency between Design Doc and code implementation.

  doc_type: design-doc
  document_path: $STEP_7_OUTPUT (or $STEP_7a_OUTPUT / $STEP_7b_OUTPUT)
  verbose: false

Note: Omit code_paths — the verifier independently discovers code scope from the document.

Store output as: $STEP_8_OUTPUT

Step 9: Review

Required Input: $STEP_8_OUTPUT (verification JSON from Step 8)

Agent tool invocation (per Design Doc):

subagent_type: dev-workflows:document-reviewer
description: "Review Design Doc"
prompt: |
  Review the following Design Doc considering code verification findings.

  doc_type: DesignDoc
  target: $STEP_7_OUTPUT (or $STEP_7a_OUTPUT / $STEP_7b_OUTPUT)
  mode: composite
  code_verification: $STEP_8_OUTPUT

  ## Parent PRD
  $APPROVED_PRD_PATH

  ## Additional Review Focus
  - Technical accuracy of documented interfaces
  - Consistency with parent PRD scope
  - Completeness of unit boundary definitions

Store output as: $STEP_9_OUTPUT

Step 10: Revision (conditional)

Trigger Conditions (same as Step 5):

  • Review status is "Needs Revision" or "Rejected"
  • Critical discrepancies exist in $STEP_8_OUTPUT
  • consistencyScore < 70

Agent tool invocation (per Design Doc):

subagent_type: dev-workflows:technical-designer (or dev-workflows-frontend:technical-designer-frontend for frontend Design Docs)
description: "Revise Design Doc"
prompt: |
  Update Design Doc based on review feedback and code verification results.

  Operation Mode: update
  Existing Design Doc: $STEP_7_OUTPUT (or $STEP_7a_OUTPUT / $STEP_7b_OUTPUT)

  ## Review Feedback
  $STEP_9_OUTPUT

  ## Code Verification Results
  $STEP_8_OUTPUT

  Address discrepancies by severity. Critical and major items require correction.
  Minor items: correct if straightforward, otherwise leave as-is with rationale.

Loop Control: Maximum 2 revision cycles. After 2 cycles, flag for human review regardless of status.

Unit Completion
  • Review status is "Approved" or "Approved with Conditions"
  • Human review passed (if enabled in Step 0)

Next: Proceed to next unit. After all units → Final Report.

Final Report

Output summary including:

  • Generated documents table (Type, Name, Consistency Score, Review Status)
  • Action items (critical discrepancies, undocumented features, flagged items)
  • Next steps checklist

Error Handling

ErrorAction
Discovery finds nothingAsk user for project structure hints
Generation failsLog failure, continue with other units, report in summary
consistencyScore < 50Flag for mandatory human review — require explicit human approval
Review rejects after 2 revisionsStop loop, flag for human intervention

平台分布

Codex

32.6%
按下载量换算31

Claude

27.65%
按下载量换算26

Cursor

19.85%
按下载量换算19

Gemini CLI

10.17%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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