Perform Differential Security Code Reviews
Security-focused code review skill for PRs, commits, and diffs that analyzes auth, crypto, external calls, and value transfer with evidence-backed findings and
Why it matters
Receive security-focused code reviews for pull requests, commits, or diffs. This skill prioritizes high-risk areas like authentication, cryptography, and external calls, providing evidence-based findings and detailed reports.
Outcomes
What it gets done
Conduct security-focused code reviews for PRs, commits, and diffs.
Analyze changes in authentication, cryptography, and value transfer logic.
Generate comprehensive markdown reports with code evidence and attack scenarios.
Adapt review strategy based on codebase size (SMALL, MEDIUM, LARGE).
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-differential-review | bash Capabilities
What this skill does
Analyzes code for bugs, style issues, and improvements.
Reviews permissions and logs to flag unauthorized activity.
Scans code or infrastructure for security vulnerabilities.
Pulls structured data fields from unstructured text.
Overview
Differential Security Review
What it does
A differential security review skill that performs risk-focused analysis of code changes (PRs, commits, diffs) with emphasis on high-risk areas like authentication, cryptography, value transfer, and external calls. Delivers evidence-backed findings with git blame history, line numbers, attack scenarios, and blast radius calculations in a structured markdown report.
How it connects
Use when you need security-focused review of code changes that touch auth, crypto, external calls, value transfer, permissions, or other high-risk logic, and you need findings backed by code evidence, attack scenarios, and an explicit report artifact rather than a general code review.
Source README
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
- Risk-First: Focus on auth, crypto, value transfer, external calls
- Evidence-Based: Every finding backed by git history, line numbers, attack scenarios
- Adaptive: Scale to codebase size (SMALL/MEDIUM/LARGE)
- Honest: Explicitly state coverage limits and confidence level
- 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.
FAQ
Common questions
Discussion
Questions & comments · 0
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