audit-analyzer

name	audit-analyzer
description	Detect and prioritize audit issues — performance, accessibility, monitoring. Use when use when auditing websites for performance, accessibility, or monitoring issues Triggers on keywords: audit, performance, accessibility, monitoring.
allowed-tools	Read, Write, Bash, Grep, Glob
user-invocable	true
mcp-servers	["fetch","brave-search","sqlite","postgres"]

Audit Analyzer

context

Detect and prioritize audit issues — performance, accessibility, SEO, and security. Runs comprehensive audits with severity scoring and actionable remediation steps. This skill provides data extraction, analysis, and research capabilities that turn raw information into actionable insights.

instructions

Step 1: Define Research Scope

1. Identify the data source or research target
2. Determine what information is needed
3. Set boundaries — depth, breadth, and time constraints
4. Define output format — structured data, summary, or detailed report

Step 2: Execute Research/Analysis

1. Gather — Collect data from the source using appropriate tools
2. Filter — Remove noise and irrelevant information
3. Analyze — Extract patterns, relationships, and key findings
4. Synthesize — Combine findings into a coherent narrative

Step 3: Generate Research Report

## Research Findings

### Summary
Concise overview of findings with confidence levels

### Key Findings
1. Finding with supporting data
2. Finding with supporting data
3. Finding with supporting data

### Data Sources
- Source 1 with reliability assessment
- Source 2 with reliability assessment

### Implications
- Implication 1
- Implication 2

### Recommendations
- Actionable recommendation 1
- Actionable recommendation 2

Step 4: Validate Findings

• Data is from reliable sources
• Findings are supported by evidence
• Limitations are acknowledged
• Conclusions are proportional to evidence strength

constraints

• NEVER present correlation as causation without evidence.
• NEVER cherry-pick data that only supports one conclusion.
• NEVER skip source verification — bad data leads to bad decisions.
• ALWAYS cite sources and assess their reliability.
• ALWAYS acknowledge limitations and gaps in the research.

examples

Example: Research Task

Input: "Use when auditing websites for performance, accessibility, or monitoring issues"

Output:

## Research Findings

### Summary
Key findings from the analysis with confidence levels.

### Key Findings
1. Primary finding with supporting evidence
2. Secondary finding with supporting evidence

### Recommendations
Actionable next steps based on the research