Project Discovery | 專案現況評估

SkillMonitoring & ops

[UDS] Assess project health, architecture, and risks before adding features to an existing codebase. Use when: onboarding to an unfamiliar or legacy project, sizing risk before starting a feature, building a risk register. Not for: ongoing metric tracking on a codebase you already know — use /metrics; recovering specs from code — use /reverse. Keywords: discovery, project assessment, legacy onboarding, risk register, technical debt, 現況評估, 專案盤點, 風險登記簿.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Project Discovery | 專案現況評估 skill

What this skill tells your AI

The instructions your AI receives, as published by asiaostrich/universal-dev-standards in skills/project-discovery/SKILL.md and read by ahel’s review.

Phase 0 assessment before adding features to existing codebases. Evaluate project health, architecture, and risks.

在既有程式碼庫新增功能前的 Phase 0 評估。評估專案健康度、架構與風險。

Assessment Dimensions | 評估維度

DimensionWhat to Check檢查項目
ArchitectureModule structure, dependency graph, entry points模組結構、相依圖、進入點
DependenciesOutdated packages, known vulnerabilities, license risks過時套件、已知漏洞、授權風險
Test CoverageExisting test suite, coverage gaps, test quality現有測試、覆蓋率缺口、測試品質
Securitynpm audit findings, hardcoded secrets, exposed endpoints安全稽核、硬編碼密鑰、暴露端點
Technical DebtTODOs, code duplication, complexity hotspotsTODO 標記、程式碼重複、複雜度熱點

Workflow | 工作流程

  1. Scan project - Read package.json, directory structure, config files
  2. Analyze architecture - Map modules, dependencies, and data flow
  3. Check dependencies - Run npm outdated, npm audit for health signals
  4. Assess risks - Identify complexity hotspots, missing tests, security issues
  5. Generate report - Output health score with actionable recommendations

Output Format | 輸出格式

Project Health Report
=====================
Overall Score: 7.2 / 10

| Dimension       | Score | Status  | Key Finding            |
|-----------------|-------|---------|------------------------|
| Architecture    | 8/10  | Good    | Clean module boundaries |
| Dependencies    | 6/10  | Warning | 5 outdated, 1 critical |
| Test Coverage   | 7/10  | Fair    | 72% line coverage      |
| Security        | 8/10  | Good    | No critical vulns      |
| Technical Debt  | 6/10  | Warning | 23 TODOs, 3 hotspots   |

Recommendations:
1. [HIGH] Update lodash to fix CVE-2024-XXXX
2. [MED]  Add tests for src/payments/ (0% coverage)
3. [LOW]  Resolve TODO backlog in src/utils/

Risk Register | 風險登記簿

After assessment, identified risks are recorded in a structured Risk Register for ongoing tracking.

評估完成後,已識別的風險記錄在結構化的風險登記簿中進行持續追蹤。

Risk Matrix | 風險矩陣

              Impact | 影響
         Low    Med    High
High   [ Med ] [High] [Crit]
Med    [ Low ] [Med ] [High]   Likelihood | 可能性
Low    [ Low ] [Low ] [Med ]

Risk Register Template | 風險登記簿模板

# Risk Register — [Project Name]
**Last Updated**: YYYY-MM-DD

| ID | Category | Description | Likelihood | Impact | Level | Owner | Mitigation | Status |
|----|----------|-------------|-----------|--------|-------|-------|------------|--------|
| RISK-001 | Security | Outdated deps with CVEs | High | High | Critical | @dev | npm audit fix | Open |
| RISK-002 | Performance | No load testing | Medium | High | High | @ops | Add k6 tests | Open |
| RISK-003 | Quality | Low test coverage in payments | High | Medium | High | @qa | Add IT tests | Mitigating |

Risk Status Lifecycle | 風險狀態

Identified ──► Mitigating ──► Resolved ──► Closed
     │
     └──► Accepted (with justification)

Risk Storage | 風險存放

docs/risks/
├── RISK-REGISTER.md              # Active risk register
├── RISK-REGISTER-2026-Q1.md      # Quarterly snapshot (optional)
└── README.md                     # Index

Usage | 使用方式

  • /discover - Full project health assessment
  • /discover auth - Focused assessment of auth-related modules
  • /discover payments - Assess risks before adding payment features
  • /discover --risks - View current risk register
  • /discover --update-risk RISK-NNN - Update a risk item status

Next Steps Guidance | 下一步引導

After /discover completes, the AI assistant should suggest based on the assessment:

根據評估結果,建議下一步 / Based on assessment, suggested next steps:

  • New feature / 新功能/sdd to create a specification ⭐ Recommended / 推薦
  • Legacy code / 遺留程式碼/reverse spec to extract existing behavior
  • Refactoring / 重構/refactor decide to choose a strategy
  • Quick fix / 快速修復/tdd to write a targeted test and fix
  • Risk tracking / 風險追蹤/discover --risks to view risk register
  • Architecture decision / 架構決策/adr to record decisions made during discovery

Reference | 參考

  • Step-by-step workflow: workflow.md — the discovery steps in order (code health, architecture, documentation inventory, review snapshot, dependency and security). Read it when actually running a discovery rather than deciding whether to.
  • Detailed guide: guide.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:/discover

For complete AI agent behavior definition, see the corresponding command file: /discover

Signals

GitHub stars
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Last commit
Sep 2026
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Catalog kind
skill
Gateway key
discover-asiaostrich
Source
github.com/asiaostrich/universal-dev-standards