differential-review
Security-focused code review for PRs, commits, and diffs.
Best use case
differential-review is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Security-focused code review for PRs, commits, and diffs.
Teams using differential-review should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/differential-review/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How differential-review Compares
| Feature / Agent | differential-review | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Security-focused code review for PRs, commits, and diffs.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Differential Security Review
Security-focused code review for PRs, commits, and diffs.
## When to Use
- You need a security-focused review of a PR, commit range, or diff rather than a general code review.
- The changes touch auth, crypto, external calls, value transfer, permissions, or other high-risk logic.
- You need findings backed by code evidence, attack scenarios, and an explicit report artifact.
## Core Principles
1. **Risk-First**: Focus on auth, crypto, value transfer, external calls
2. **Evidence-Based**: Every finding backed by git history, line numbers, attack scenarios
3. **Adaptive**: Scale to codebase size (SMALL/MEDIUM/LARGE)
4. **Honest**: Explicitly state coverage limits and confidence level
5. **Output-Driven**: Always generate comprehensive markdown report file
---
## Rationalizations (Do Not Skip)
| 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 |
---
## Quick Reference
### Codebase Size Strategy
| 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
| 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 |
---
## Workflow Overview
```
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
```
---
## Decision Tree
**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
```
---
## Quality Checklist
Before delivering:
- [ ] All changed files analyzed
- [ ] Git blame on removed security code
- [ ] Blast radius calculated for HIGH risk
- [ ] Attack scenarios are concrete (not generic)
- [ ] Findings reference specific line numbers + commits
- [ ] Report file generated
- [ ] User notified with summary
---
## Integration
**audit-context-building skill:**
- Pre-Analysis: Build baseline context
- Phase 4: Deep context on HIGH RISK changes
**issue-writer skill:**
- Transform findings into formal audit reports
- Command: `issue-writer --input DIFFERENTIAL_REVIEW_REPORT.md --format audit-report`
---
## Example Usage
### Quick Triage (Small PR)
```
Input: 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
```
### Standard Review (Medium Codebase)
```
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
```
### Deep Audit (Large, Critical Change)
```
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
```
---
## When NOT to Use This Skill
- **Greenfield code** (no baseline to compare)
- **Documentation-only changes** (no security impact)
- **Formatting/linting** (cosmetic changes)
- **User explicitly requests quick summary only** (they accept risk)
For these cases, use standard code review instead.
---
## Red Flags (Stop and Investigate)
**Immediate escalation triggers:**
- Removed code from "security", "CVE", or "fix" commits
- Access control modifiers removed (onlyOwner, internal → external)
- Validation removed without replacement
- External calls added without checks
- High blast radius (50+ callers) + HIGH risk change
These patterns require adversarial analysis even in quick triage.
---
## Tips for Best Results
**Do:**
- Start with git blame for removed code
- Calculate blast radius early to prioritize
- Generate concrete attack scenarios
- Reference specific line numbers and commits
- Be honest about coverage limitations
- Always generate the output file
**Don't:**
- Skip git history analysis
- Make generic findings without evidence
- Claim full analysis when time-limited
- Forget to check test coverage
- Miss high blast radius changes
- Output report only to chat (file required)
---
## Supporting Documentation
- **methodology.md** - Detailed phase-by-phase workflow (Phases 0-4)
- **adversarial.md** - Attacker modeling and exploit scenarios (Phase 5)
- **reporting.md** - Report structure and formatting (Phase 6)
- **patterns.md** - Common vulnerability patterns reference
---
**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.
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.Related Skills
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