Differential ReviewSAFE
Vigolium - High-fidelity vulnerability scanner fusing agentic AI with native speed, modularity, and precision
Overview
Vigolium - High-fidelity vulnerability scanner fusing agentic AI with native speed, modularity, and precision
abfda8d468e1OBSERVED · 2026-10-13What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
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.
allowed-tools:
- Read
- Write
- Grep
- Glob
- Bash
---
# 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-Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (2)
AGENTS.md
**MEDIUM:** Requires specific conditions or elevated privileges
Gates applied: no_behavioural_pass.
abfda8d468e1full audit observations/trust-audit/skill/vigolium__differential-review.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-13 | abfda8d468e1 | SAFE | B | 89 | first audit |
Questions
What does the Differential Review skill do?
Vigolium - High-fidelity vulnerability scanner fusing agentic AI with native speed, modularity, and precision
Is Differential Review safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Differential Review access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (abfda8d468e1), read on 2026-10-13. The repository is watched, and a new audit runs when it changes — this is the first audit.