# Benchmark

> Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.

- **Type:** Skill
- **Install:** `agentstack add skill-affaan-m-ecc-benchmark`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [affaan-m](https://agentstack.voostack.com/s/affaan-m)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [affaan-m](https://github.com/affaan-m)
- **Source:** https://github.com/affaan-m/ECC/tree/main/skills/benchmark
- **Website:** https://ecc.tools

## Install

```sh
agentstack add skill-affaan-m-ecc-benchmark
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Benchmark — Performance Baseline & Regression Detection

## When to Use

- Before and after a PR to measure performance impact
- Setting up performance baselines for a project
- When users report "it feels slow"
- Before a launch — ensure you meet performance targets
- Comparing your stack against alternatives

## How It Works

### Mode 1: Page Performance

Measures real browser metrics via browser MCP:

```
1. Navigate to each target URL
2. Measure Core Web Vitals:
   - LCP (Largest Contentful Paint) — target < 2.5s
   - CLS (Cumulative Layout Shift) — target < 0.1
   - INP (Interaction to Next Paint) — target < 200ms
   - FCP (First Contentful Paint) — target < 1.8s
   - TTFB (Time to First Byte) — target < 800ms
3. Measure resource sizes:
   - Total page weight (target < 1MB)
   - JS bundle size (target < 200KB gzipped)
   - CSS size
   - Image weight
   - Third-party script weight
4. Count network requests
5. Check for render-blocking resources
```

### Mode 2: API Performance

Benchmarks API endpoints:

```
1. Hit each endpoint 100 times
2. Measure: p50, p95, p99 latency
3. Track: response size, status codes
4. Test under load: 10 concurrent requests
5. Compare against SLA targets
```

### Mode 3: Build Performance

Measures development feedback loop:

```
1. Cold build time
2. Hot reload time (HMR)
3. Test suite duration
4. TypeScript check time
5. Lint time
6. Docker build time
```

### Mode 4: Before/After Comparison

Run before and after a change to measure impact:

```
/benchmark baseline    # saves current metrics
# ... make changes ...
/benchmark compare     # compares against baseline
```

Output:
```
| Metric | Before | After | Delta | Verdict |
|--------|--------|-------|-------|---------|
| LCP | 1.2s | 1.4s | +200ms | WARNING: WARN |
| Bundle | 180KB | 175KB | -5KB | ✓ BETTER |
| Build | 12s | 14s | +2s | WARNING: WARN |
```

## Output

Stores baselines in `.ecc/benchmarks/` as JSON. Git-tracked so the team shares baselines.

## Integration

- CI: run `/benchmark compare` on every PR
- Pair with `/canary-watch` for post-deploy monitoring
- Pair with `/browser-qa` for full pre-ship checklist

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [affaan-m](https://github.com/affaan-m)
- **Source:** [affaan-m/ECC](https://github.com/affaan-m/ECC)
- **License:** MIT
- **Homepage:** https://ecc.tools

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-affaan-m-ecc-benchmark
- Seller: https://agentstack.voostack.com/s/affaan-m
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.