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Agent Skill · 研究检索

code-archaeology(代码考古学)

code-archaeology 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

code-archaeology 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,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 22,619。

总安装 4,504周安装 184GitHub Stars 1下载 1,457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-0
版本
2.5.0

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:code-archaeology(代码考古学)
来源仓库:https://github.com/hickhe/code-archaeology
安装命令:
openclaw skills install code-archaeology
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install code-archaeology

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。

code-archaeology 分析遗留代码库,提取业务规则与技术迁移要求。适用于 PHP、Java、Python 等传统语言系统的重构准备。通过 clawhub 安装,安装命令为 openclaw skills install code-archaeology。

使用前需确认权限范围、维护状态及是否涉及联网、命令执行或文件读写操作。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 OpenClaw;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 openclaw skills install code-archaeology;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

code-archaeology 怎么安装?

在终端执行 openclaw skills install code-archaeology。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

code-archaeology 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

code-archaeology 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。

code-archaeology 是免费的吗?

来源标注的许可证是 MIT-0。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。

code-archaeology 用的人多吗?

公开数据是累计安装 4,504 次,近一周安装 184 次,下载 1,457 次,GitHub 1 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。

code-archaeology 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,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 OpenClaw,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
code-archaeology

代码考古学 · 本页

4,5041需要联网MIT-0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

name
code-archaeology
description
Analyze legacy codebases to extract business rules, technical specifications, and migration requirements. Use when analyzing PHP, Java, Python, or other legacy systems for modernization planning.

Code Archaeology Skill

Overview

Code Archaeology is a systematic analysis methodology for understanding legacy codebases and extracting actionable insights for modernization. This skill provides tools and workflows for:

  • Business Rule Extraction: Identify and document business logic from legacy code
  • Technical Specification Generation: Extract data models, API contracts, and system architecture
  • Security Risk Assessment: Identify security vulnerabilities and technical debt
  • Migration Planning: Generate detailed migration requirements and task breakdowns
  • AI Plan Generator Integration: Convert analysis results into AI-executable context documents

Unified Directory Structure

Code Archaeology results are organized in a standardized directory structure:

{project}_code_archaeology/
├── results/                    # Primary analysis outputs (for AI integration)
│   ├── {project}_api_analysis.md
│   ├── {project}_security_audit_results.md
│   ├── {project}_performance_analysis.md
│   ├── {project}_technical_debt_assessment.md
│   ├── {project}_optimization_recommendations.md
│   └── {project}_code_archaeology_final_report.md
├── process/                   # Detailed analysis artifacts (30+ files)
│   ├── 01-system-constants-analysis.md
│   ├── 02-database-schema-analysis.md
│   ├── 03-business-domain-file-list.md
│   ├── {domain}-analysis.md (per business domain)
│   └── round2_progress.json
├── source/                    # Original source code reference
│   └── {project}/
└── {project}_archaeology_status.json  # Analysis status tracking

Core Capabilities

1. Multi-Round Analysis

  • Round 1: Business domain mapping and core architecture analysis
  • Round 2: Deep technical assessment (security, performance, optimization)

2. Domain-Specific Analysis

  • Financial Management: Payment processing, invoicing, reconciliation
  • Customer Management: User authentication, profile management
  • Contract Management: Contract lifecycle, status transitions
  • Supply Chain: Inventory, procurement, logistics

3. Security Risk Identification

  • Critical: Hardcoded credentials, SQL injection vulnerabilities
  • High: Weak password storage, session management issues
  • Medium: XSS/CSRF protection gaps, insecure file permissions

4. Technical Debt Assessment

  • Architecture: Monolithic limitations, lack of layered architecture
  • Code Quality: Code duplication, outdated language features
  • Maintainability: Missing documentation, poor test coverage
  • Performance: Database query optimization, caching mechanisms

AI Plan Generator Integration

Code Archaeology results can be directly consumed by AI Plan Generator to create:

  • Campaign Documents: Strategic migration plans with clear boundaries
  • Context Documents: AI-executable business rules and technical specifications
  • Task Decomposition: Detailed implementation tasks with priorities and dependencies
  • Validation Standards: Comprehensive testing requirements and acceptance criteria

Integration Workflow

# 1. Run Code Archaeology analysis
code-archaeology analyze legacy-project --output-dir legacy_project_code_archaeology

# 2. Generate AI Plan Generator context from archaeology results  
ai-plan-generator generate-context-from-archaeology \
  /path/to/legacy_project_code_archaeology \
  context-documents \
  finance

# 3. Validate context document completeness
ai-plan-generator analyze-completeness context-documents

# 4. Create ClawTeam migration team
clawteam create --name "finance-migration" --description-file campaign.md

Usage Guidelines

When to Use

  • Legacy System Modernization: Planning migration from PHP 5.x, legacy Java, etc.
  • Business Logic Documentation: Extracting undocumented business rules
  • Security Remediation: Identifying and prioritizing security vulnerabilities
  • Technical Debt Reduction: Planning systematic codebase improvements

Input Requirements

  • Source Code Access: Full access to legacy codebase
  • Business Context: Understanding of business domains and requirements
  • Target Architecture: Clear vision of target modern architecture

Output Artifacts

  • Comprehensive Reports: Executive summaries and detailed technical analysis
  • Actionable Recommendations: Prioritized improvement and migration tasks
  • Risk Assessments: Security and business continuity risk evaluations
  • Integration Ready: Structured data for AI Plan Generator consumption

Best Practices

Analysis Process

  1. Start Broad: Begin with high-level business domain mapping
  2. Go Deep: Focus on critical domains (financial, security-sensitive)
  3. Validate Findings: Cross-reference analysis results with business stakeholders
  4. Iterate: Refine analysis based on feedback and new discoveries

Documentation Standards

  • Machine Readable: Structure outputs for AI consumption
  • Human Understandable: Provide clear explanations for business stakeholders
  • Action Oriented: Focus on actionable insights and recommendations
  • Version Controlled: Track analysis evolution over time

Integration Patterns

  • ClawTeam Orchestration: Use analysis results to drive multi-agent coordination
  • Continuous Validation: Regularly validate AI interpretations against original code
  • Feedback Loops: Use implementation results to refine future analyses

Example Use Cases

Financial Module Migration

Input: Legacy PHP financial system with hardcoded credentials Analysis: Identifies payment processing logic, security vulnerabilities, data models Output: Complete migration plan with security remediation and validation standards

User Authentication Modernization

Input: Custom authentication system with weak password storage Analysis: Extracts user management workflows, identifies security gaps Output: Modern authentication implementation plan with proper security controls

API Standardization

Input: Inconsistent RPC-style APIs across multiple modules Analysis: Documents all API endpoints, request/response formats, error handling Output: RESTful API redesign specification with backward compatibility strategy

Code Archaeology transforms legacy code understanding from an art into a systematic, repeatable science that powers AI-driven modernization.

Integration Scripts

This skill includes integration scripts for converting Code Archaeology results to AI Plan Generator format:

  • convert-to-ai-plan-generator.cjs: Main conversion utility
  • code-archaeology-integrator.cjs: Core parsing and extraction logic
  • process-file-manager.cjs: File location and organization management

Usage

node convert-to-ai-plan-generator.cjs /path/to/archaeology-results output-dir domain

平台分布

OpenClaw

98.46%
按下载量换算1,435

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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。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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