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afrexai-tech-debt-auditafrexai 科技债务审计

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

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周安装

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下载量

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OpenClaw

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

MIT-0

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:afrexai-tech-debt-audit(afrexai 科技债务审计)
来源仓库:https://github.com/1kalin/afrexai-tech-debt-audit
安装命令:
openclaw skills install afrexai-tech-debt-audit
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 afrexai-tech-debt-audit

简介

通过影响分析和工程团队的详细修复路线图,系统地识别、评分和优先处理代码库中的技术债务。

SKILL.md

Technical Debt Audit

Systematic technical debt assessment for engineering teams. Identifies, scores, and prioritizes debt across your codebase with business impact analysis and remediation roadmaps.

What It Does

  1. Debt Discovery — Categorizes debt: architecture, code quality, dependency, testing, infrastructure, documentation
  2. Impact Scoring — Rates each item on effort (1-5), risk (1-5), and business impact (1-5) using a weighted formula
  3. Cost Modeling — Estimates carrying cost per sprint in developer-hours and dollars
  4. Remediation Roadmap — Generates a prioritized paydown plan with quick wins, scheduled work, and strategic rewrites
  5. Executive Summary — One-page board-ready report showing debt-to-velocity ratio and projected savings

Usage

Describe your system, stack, and known pain points. The agent audits systematically:

"Audit our technical debt. We're a Node.js/React SaaS with 180K LOC, 
12 engineers. Known issues: monolithic API, no integration tests, 
3 deprecated dependencies, manual deployments."

Scoring Formula

Priority Score = (Risk × 3) + (Business Impact × 2) + (1/Effort × 1)

Higher score = fix first. Quick wins (low effort, high risk) surface to the top.

Debt Categories

CategoryExamplesTypical Carrying Cost
ArchitectureMonoliths, tight coupling, wrong patterns15-25% velocity drag
Code QualityDuplication, god classes, no standards10-20% velocity drag
DependenciesOutdated libs, security vulns, EOL frameworks5-15% + incident risk
TestingNo tests, flaky tests, manual QA only20-40% bug-fix overhead
InfrastructureManual deploys, no monitoring, snowflake servers10-30% ops overhead
DocumentationNo onboarding docs, tribal knowledge2-4 weeks per new hire

Output Format

# Technical Debt Audit Report
## Executive Summary
- Total debt items: [N]
- Estimated carrying cost: $[X]/month
- Debt-to-velocity ratio: [X]%
- Quick wins available: [N] items, [X] dev-days

## Critical (Fix This Sprint)
...

## High Priority (Next 30 Days)  
...

## Scheduled (Next Quarter)
...

## Strategic (Plan & Budget)
...

## Remediation Roadmap
Week 1-2: [Quick wins]
Month 1: [High priority]
Quarter: [Scheduled items]

Why This Matters

Engineering teams spend 23-42% of development time on technical debt (Stripe Developer Report). Most don't measure it. What you don't measure, you can't manage.


Built by AfrexAI — AI-powered business operations tools.

Need the full engineering context pack? Browse our AI Context Packs ($47) or try the free AI Revenue Calculator.

适合场景

01

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

71.36%
按下载量换算4,972

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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

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来源信息

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