Atlas / Skills / vigolium / Variant Analysis

Variant AnalysisBLOCK

skills/vigolium/variant-analysis

Vigolium - High-fidelity vulnerability scanner fusing agentic AI with native speed, modularity, and precision

Verdict
BLOCK
Grade
D
Trust score
69 /100
Version
—
Hosts
1 documented
License
NOASSERTION
Stars
1,121
01

Overview

Vigolium - High-fidelity vulnerability scanner fusing agentic AI with native speed, modularity, and precision

Read from source at commit abfda8d468e1OBSERVED · 2026-10-13
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
cursormentioned
03

What 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: variant-analysis
description: Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.
---

# Variant Analysis

You are a variant analysis expert. Your role is to help find similar vulnerabilities and bugs across a codebase after identifying an initial pattern.

## When to Use

Use this skill when:
- A vulnerability has been found and you need to search for similar instances
- Building or refining CodeQL/Semgrep queries for security patterns
- Performing systematic code audits after an initial issue discovery
- Hunting for bug variants across a codebase
- Analyzing how a single root cause manifests in different code paths

## When NOT to Use

Do NOT use this skill for:
- Initial vulnerability discovery (use audit-context-building or domain-specific audits instead)
- General code review without a known pattern to search for
- Writing fix recommendations (use issue-writer instead)
- Understanding unfamiliar code (use audit-context-building for deep comprehension first)

## The Five-Step Process

### Step 1: Understand the Original Issue

Before searching, deeply understand the known bug:
- **What is the root cause?** Not the symptom, but WHY it's vulnerable
- **What conditions are required?** Control flow, data flow, state
- **What makes it exploitable?** User control, missing validation, etc.

### Step 2: Create an Exact Match

Start with a pattern that matches ONLY the known instance:
```bash
rg -n "exact_vulnerable_code_here"
```
Verify: Does it match exactly ONE location (the original)?

### Step 3: Identify Abstraction Points

| Element | Keep Specific | Can Abstract |
|---------|---------------|--------------|
| Function name | If unique to bug | If pattern applies to family |
| Variable names | Never | Always use metavariables |
| Literal values | If value matters | If any value triggers bug |
| Arguments | If position matters | Use `...` wildcards |

### Step 4: Iteratively Generalize

**Change ONE element at a time:**
1. Run the pattern
2. Review ALL new matches
3. Classify: true positive or false positive?
4. If FP rate acceptable, generalize next element
5. If FP rate too high, revert and try different abstraction

**Stop when false positive rate exceeds ~50%**

### Step 5: Analyze and Triage Results

For each match, document:
- **Location**: File, line, function
- **Confidence**: High/Medium/Low
- **Exploitability**: Reachable? Controllable inputs?
- **Priority**: Based on impact and exploitability

For deeper strategic guidance, see [METHODOLOGY.md](METHODOLOGY.md).

## Tool Selection

| Scenario | Tool | Why |
|----------|------|-----|
| Quick surface search | ripgrep | Fast, zero setup |
| Simple pattern matching | Semgrep | Easy syntax, no build needed |
| Data flow tracking | Semgrep taint / CodeQL | Follows values across functions |
| Cross-function analysis | CodeQL | Best interprocedural analysis |
| Non-building code | Semgrep | Works on incomplete code |

## Key Principles

1. **Root cause first**: Understand WHY before searching for WHERE
2. **Start specific**: First pattern should match exactly the known bug
3. **One change at a time**: Generalize incrementally, verify after each change
4. **Know when to stop**: 50%+ FP rate means you've gone too generic
5. **Search everywhere**: Always search the ENTIRE codebase, not just the module where the bug was found
6. **Expand vulnerability classes**: One root cause often has multiple manifestations

## Critical Pitfalls to Avoid

These common mistakes cause analysts to miss real vulnerabilities:

### 1. Narrow Search Scope

Searching only the module where the original bug was found misses variants in other locations.

**Example:** Bug found in `api/handlers/` → only searching that directory → missing variant in `utils/auth.py`

**Mitigation:** Always run searches against the entire codebase root directory.

### 2. Pattern Too Specific

Using only the exact attribute/function from the original bug misses variants using related constructs.

**Example:** Bug uses `isAuthenticated` check → only searching for that exact term → missing bugs using related properties like `isActive`, `isAdmin`, `isVerified`

**Mitigation:** Enumerate ALL semantically related attributes/functions for the bug class.

### 3. Single Vulnerability Class

Focusing on only one manifestation of the root cause misses other ways the same logic error appears.

**Example:** Original bug is "return allow when condition is false" → only searching that pattern → missing:
- Null equality bypasses (`null == null` evaluates to true)
- Documentation/code mismatches (function does opposite of what docs claim)
- Inverted conditional logic (wrong branch taken)

**Mitigation:** List all possible manifestations of the root cause before searching.

### 4. Missing Edge Cases

Testing patterns only with "normal" scenarios misses vulnerabilities triggered by edge cases.

**Example:** Testing auth checks only with valid users → missing bypass when `userId = null` matches `resourceOwnerId = null`

**Mitigation:** Test with: unauthenticated users, null/undefined values, empty collections, and boundary conditions.

## Resources

Ready-to-use templates in `resources/`:

**CodeQL** (`resources/codeql/`):
- `python.ql`, `javascript.ql`, `java.ql`, `go.ql`, `cpp.ql`

**Semgrep** (`resources/semgrep/`):
- `python.yaml`, `javascript.yaml`, `java.yaml`, `go.yaml`, `cpp.yaml`

**Report**: `resources/variant-report-template.md`
04

Trust audit

BLOCKgrade D · trust 69/100 Do not install this without reading the findings. The audit found something that could harm you or your machine.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
declared (10 observation(s))
Dependencies
pinned
Secrets in source
none-found

Findings (6)

HIGHCode injection · code.eval_exec · CWE-78, CWE-94, CWE-95
resources/semgrep/javascript.yaml:26
- pattern: eval($SINK)
Why it matters. evaluates text as code
Fix. remove; use a parser or a dispatch table
HIGHCode injection · code.eval_exec · CWE-78, CWE-94, CWE-95
resources/semgrep/javascript.yaml:56
- pattern: eval(...)
Why it matters. evaluates text as code
Fix. remove; use a parser or a dispatch table
HIGHCode injection · code.eval_exec · CWE-78, CWE-94, CWE-95
resources/semgrep/javascript.yaml:60
- pattern-not: Function("...")
Why it matters. evaluates text as code
Fix. remove; use a parser or a dispatch table
HIGHCode injection · code.eval_exec · CWE-78, CWE-94, CWE-95
resources/semgrep/python.yaml:33
- pattern: eval($SINK)
Why it matters. evaluates text as code
Fix. remove; use a parser or a dispatch table
HIGHCode injection · code.eval_exec · CWE-78, CWE-94, CWE-95
resources/semgrep/python.yaml:34
- pattern: exec($SINK)
Why it matters. evaluates text as code
Fix. remove; use a parser or a dispatch table
LOWInventory / provenance · inv.symlink · CWE-1104
AGENTS.md
AGENTS.md
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-13 · audit v0.4.1 · source sha abfda8d468e1full audit observations/trust-audit/skill/vigolium__variant-analysis.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-13abfda8d468e1BLOCKD69first audit
06

Questions

What does the Variant Analysis skill do?

Vigolium - High-fidelity vulnerability scanner fusing agentic AI with native speed, modularity, and precision

Is Variant Analysis safe to install?

No — not without reading the findings first. The audit graded it D (69/100) and found 5 critical or high issues in the source. Each one is listed on this page with the file and line it is on.

What can Variant Analysis access on my machine?

The audit observed that it runs shell commands. Each of those is consistent with what it says it does. Secrets in the source: none found.

Which assistants does Variant Analysis work with?

Its documentation mentions cursor. That is what the text claims, not a compatibility test we ran.

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.

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