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/differential-review

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

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opencode-power-pack
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Install
$ npx -y skills add waybarrios/opencode-power-pack --skill differential-review --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/differential-review

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

differential-review.SKILL.md
name: differential-review
description: "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."
license: MIT (modified; see UPSTREAMS.json)

Differential Security Review

Security-focused code review for PRs, commits, and diffs.

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](methodology.md)** - Detailed phase-by-phase workflow (Phases 0-
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