Reverse Engineering Assistant | 反向工程助手
SkillAI & models[UDS] System archeology — reverse engineer an existing system across the Logic, Data, and Runtime dimensions. Use when: documenting an undocumented system, recovering specifications from existing code, mapping an unknown data model or runtime topology. Not for: assessing health and risk before a feature — use /discover; deriving tests forward from an approved spec — use /spec-derive. Keywords: reverse engineering, system archeology, legacy code, spec extraction, data model, runtime, 反向工程, 系統考古, 規格提取.
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Then ask your AI: use the Reverse Engineering Assistant | 反向工程助手 skill
What this skill tells your AI
The instructions your AI receives, as published by asiaostrich/universal-dev-standards in skills/reverse-engineer/SKILL.md and read by ahel’s review.
System archeology framework: reverse engineer existing systems across three dimensions — Logic, Data, and Runtime.
系統考古框架:從三個維度反向工程既有系統——邏輯、資料、執行環境。
Three Dimensions | 三大維度
┌─────────────────────────────────────────────────────────┐
│ System Archeology Framework │
├──────────┬──────────────┬────────────────────────────────┤
│ Logic │ Data │ Runtime │
│ (spec) │ (data) │ (runtime) │
├──────────┼──────────────┼────────────────────────────────┤
│ APIs │ DB Schemas │ Logs & Error Patterns │
│ Modules │ ORMs/Models │ Config & Environment │
│ Flows │ Migrations │ Metrics & Performance │
│ Tests │ Seed Data │ Infra & Deployment │
└──────────┴──────────────┴────────────────────────────────┘
Subcommands | 子命令
| Subcommand | Dimension | Input | Output | 說明 |
|---|---|---|---|---|
| (none) | All | Project root | Full Archeology Report | 三維度全面分析 |
spec | Logic | Code files/dirs | SPEC-XXX.md | 從程式碼提取規格 |
data | Data | DB schemas, ORMs, migrations | Data Model Spec | 分析資料模型與結構 |
runtime | Runtime | Logs, configs, metrics | Runtime Baseline | 分析執行環境基準 |
bdd | — | SPEC-XXX.md | .feature | 將 AC 轉為 Gherkin |
tdd | — | .feature | Coverage Report | 分析測試覆蓋率 |
Full Analysis Mode | 全面分析模式
When /reverse is invoked without a subcommand, execute all three dimensions sequentially:
- Data → Scan schemas, ORMs, migrations
- Runtime → Analyze logs, configs, deployment
- Logic (spec) → Extract APIs, flows, tests → Generate SPEC
Output: Integrated System Archeology Report combining all three dimensions.
Dimension Details | 維度詳情
spec: Logic Dimension (既有)
- Scan - Read source files and identify public APIs, data flows, and business logic
- Classify - Tag each finding as
[Confirmed],[Inferred], or[Unknown] - Structure - Organize into SDD spec format with Acceptance Criteria
- Attribute - Cite every reversed item with
file:linesource reference
data: Data Dimension (新增)
- Discover - Find database schemas, ORM models, migration files, seed data
- Map - Build entity-relationship model from code evidence
- Classify - Tag relationships as
[Confirmed](FK constraints) or[Inferred](code patterns) - Report - Output data model spec with:
- Entity list with fields and types
- Relationship map (1:1, 1:N, M:N)
- Index and constraint inventory
- Migration history summary
- Data flow paths (write → read)
Evidence sources: schema.prisma, *.migration.*, models/, entities/, knexfile.*, sequelize, typeorm, SQL files, docker-compose.yml (DB services)
runtime: Runtime Dimension (新增)
- Scan configs - Environment variables, config files, feature flags
- Analyze logs - Log patterns, error frequency, log levels
- Check infra - Docker configs, CI/CD pipelines, deployment manifests
- Baseline - Output runtime baseline with:
- Environment variable inventory (names only, never values/secrets)
- Config file map and hierarchy
- External service dependencies (APIs, queues, caches)
- Deployment topology (containers, services)
- Health check and monitoring endpoints
Evidence sources: .env.example, docker-compose.yml, Dockerfile, *.config.*, CI/CD files, k8s/, log files (patterns only)
Security: NEVER output actual secret values. Only list variable names and describe their purpose.
Anti-Hallucination Rules | 防幻覺規則
| Rule | Requirement | 要求 |
|---|---|---|
| Certainty Tags | Use [Confirmed], [Inferred], [Unknown] for all findings | 所有發現須標注確定性 |
| Source Attribution | Cite file:line for every reversed item | 每項反向結果須引用來源 |
| No Fabrication | Never invent APIs or behaviors not found in code | 不得捏造程式碼中不存在的 API 或行為 |
| No Secrets | Never output secret values from configs or env files | 不得輸出設定檔或環境變數的密鑰值 |
Usage | 使用方式
/reverse - Full 3-dimension analysis | 三維度全面分析
/reverse spec src/auth/ - Logic: extract spec | 邏輯:提取規格
/reverse data - Data: analyze schemas & models | 資料:分析結構
/reverse runtime - Runtime: analyze configs & infra | 執行環境:分析配置
/reverse bdd specs/SPEC-AUTH.md - Convert spec ACs to Gherkin
/reverse tdd features/auth.feature - Analyze test coverage
Next Steps Guidance | 下一步引導
After /reverse (full or spec) completes, the AI assistant should suggest:
系統考古完成。建議下一步 / System archeology complete. Suggested next steps:
- 執行
/sdd審查並核准此規格 ⭐ Recommended / 推薦 — Review and approve the generated spec- 執行
/derive從規格推導測試 — Derive tests from spec (requires approval first)- 審查規格中的
[Inferred]和[Unknown]標記 — Review uncertainty tags manually
Reference | 參考
- Detailed guide: guide.md
- Core standard: reverse-engineering-standards.md
AI Agent Behavior | AI 代理行為
完整的 AI 行為定義請參閱對應的命令文件:
/reverseFor complete AI agent behavior definition, see the corresponding command file:
/reverse
Signals
- GitHub stars
- 73
- Forks
- 13
- Last commit
- Sep 2026
Advanced
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reverse- Source
- github.com/asiaostrich/universal-dev-standards