dot_claude/skills/differential-review/SKILL.md
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
npx skillsauth add lv416e/dotfiles differential-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Security-focused code review for PRs, commits, and diffs.
| Rationalization | Why It's Wrong | Required Action | |-----------------|----------------|-----------------| | "Small PR, quick review" | Heartbleed was 2 lines | Classify by RISK, not size | | "I know this codebase" | Familiarity breeds blind spots | Build explicit baseline context | | "Git history takes too long" | History reveals regressions | Never skip Phase 1 | | "Blast radius is obvious" | You'll miss transitive callers | Calculate quantitatively | | "No tests = not my problem" | Missing tests = elevated risk rating | Flag in report, elevate severity | | "Just a refactor, no security impact" | Refactors break invariants | Analyze as HIGH until proven LOW | | "I'll explain verbally" | No artifact = findings lost | Always write report |
| Codebase Size | Strategy | Approach | |---------------|----------|----------| | SMALL (<20 files) | DEEP | Read all deps, full git blame | | MEDIUM (20-200) | FOCUSED | 1-hop deps, priority files | | LARGE (200+) | SURGICAL | Critical paths only |
| Risk Level | Triggers | |------------|----------| | HIGH | Auth, crypto, external calls, value transfer, validation removal | | MEDIUM | Business logic, state changes, new public APIs | | LOW | Comments, tests, UI, logging |
Pre-Analysis → Phase 0: Triage → Phase 1: Code Analysis → Phase 2: Test Coverage
↓ ↓ ↓ ↓
Phase 3: Blast Radius → Phase 4: Deep Context → Phase 5: Adversarial → Phase 6: Report
Starting a review?
├─ Need detailed phase-by-phase methodology?
│ └─ Read: methodology.md
│ (Pre-Analysis + Phases 0-4: triage, code analysis, test coverage, blast radius)
│
├─ Analyzing HIGH RISK change?
│ └─ Read: adversarial.md
│ (Phase 5: Attacker modeling, exploit scenarios, exploitability rating)
│
├─ Writing the final report?
│ └─ Read: reporting.md
│ (Phase 6: Report structure, templates, formatting guidelines)
│
├─ Looking for specific vulnerability patterns?
│ └─ Read: patterns.md
│ (Regressions, reentrancy, access control, overflow, etc.)
│
└─ Quick triage only?
└─ Use Quick Reference above, skip detailed docs
Before delivering:
audit-context-building skill:
issue-writer skill:
issue-writer --input DIFFERENTIAL_REVIEW_REPORT.md --format audit-reportInput: 5 file PR, 2 HIGH RISK files
Strategy: Use Quick Reference
1. Classify risk level per file (2 HIGH, 3 LOW)
2. Focus on 2 HIGH files only
3. Git blame removed code
4. Generate minimal report
Time: ~30 minutes
Input: 80 files, 12 HIGH RISK changes
Strategy: FOCUSED (see methodology.md)
1. Full workflow on HIGH RISK files
2. Surface scan on MEDIUM
3. Skip LOW risk files
4. Complete report with all sections
Time: ~3-4 hours
Input: 450 files, auth system rewrite
Strategy: SURGICAL + audit-context-building
1. Baseline context with audit-context-building
2. Deep analysis on auth changes only
3. Blast radius analysis
4. Adversarial modeling
5. Comprehensive report
Time: ~6-8 hours
For these cases, use standard code review instead.
Immediate escalation triggers:
These patterns require adversarial analysis even in quick triage.
Do:
Don't:
For first-time users: Start with methodology.md to understand the complete workflow.
For experienced users: Use this page's Quick Reference and Decision Tree to navigate directly to needed content.
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
testing
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization | 新しいスキルの作成、既存スキルの編集、またはデプロイ前にスキルが機能するか検証する際に使用 - プロセスドキュメントにTDDを適用し、記述前にサブエージェントでテストし、合理化に対して堅牢になるまで反復
development
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge | 設計が完了し、コードベースの知識がゼロのエンジニア向けに詳細な実装タスクが必要な場合に使用 - 正確なファイルパス、完全なコード例、検証ステップを含む包括的な実装計画を作成。エンジニアの領域知識が最小限であることを前提
tools
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.