http-load-profiler
Run stepped HTTP load tests with ab/wrk, ramping concurrency levels to collect p50/p90/p99 latency, detect performance inflection points, and recommend…
Skill by zebbern
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend, testing
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/http-load-profiler
What's inside
- Skill name
http-load-profiler- Description
- Run stepped HTTP load tests with ab/wrk, ramping concurrency levels to collect p50/p90/p99 latency, detect performance inflection points, and recommend optimal concurrency. Triggered by requests like 'load test this URL', 'benchmark my API', 'find the max concurrency', or mentions of p99 latency, throughput saturation, or capacity planning.
- License
- MIT
- Instructions
- 145 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- LICENSE
- SKILL.md
- http_benchmark.py · scripts/
SKILL.md (first lines)
# HTTP Load Profiler — Stepped Concurrency Load Test + Inflection Point Analysis
Run stepped concurrency load tests against HTTP services, automatically collect latency percentiles, and detect performance inflection points.
## Features
- **Dual engine support**: Auto-detects wrk (preferred) or ab (Apache Bench); manual override available
- **Stepped concurrency**: Ramps up through user-defined concurrency levels (default: 1 → 10 → 50 → 100 → 200 → 500)
- **Latency percentiles**: Collects p50 / p90 / p99 latency at each level
- **Inflection point detection**: Automatically identifies four types of performance inflection points
- p99 latency accelerating (increase exceeds 2x the previous step's increase)
- Throughput efficiency dropping significantly (RPS per connection drops > 40%)
- Throughput saturated while latency spikes (RPS growth < 10%, p99 growth > 50%)
- Error rate surging (exceeds 1% and doubles from previous step)
- **Optimal concurrency recommendation**: Automatically suggests the best concurrency level based on inflection points
- **Zero Python dependencies**: Pure standard library implementation
## Quick Start
```bash
# Basic usage — run default stepped load test against target URL
python3 scripts/http_benchmark.py https://example.com/api/health
# Custom concurrency steps and duration per step
python3 scripts/http_benchmark.py https://example.com/api/health -s 5,20,50,100,300 -d 15
# Specify ab as the engine
python3 scripts/http_benchmark.py https://example.com/ -t ab
# JSON-only output (for programmatic parsing)
python3 scripts/http_benchmark.py https://example.com/api/health --json
# Use ab with a specific number of requests per step
python3 scripts/http_benchmark.py https://example.com/ -t ab -n 5000
# Save JSON report to a file
python3 scripts/http_benchmark.py https://example.com/api/health --json > report.json
```
## Parameters
| Parameter | Short | Default | Description |
|-----------|-------|---------|-------------|
| `url` | — | (required) | Target URL (http:// or https://) |
| `--steps` | `-s` | `1,10,50,100,200,500` | Concurrency steps (comma-separated positive integers) |
| `--duration` | `-d` | `10` | Duration per step in seconds (used directly by wrk; ab estimates request count from this) |
| `--requests` | `-n` | `concurrency×100` | Total requests per step when using ab |
| `--tool` | `-t` | auto-detect | Specify load testing tool: `wrk` or `ab` |
| `--threads` | — | `min(concurrency, CPU cores)` | Thread count for wrk |
| `--json` | — | `false` | Output JSON only |
## Output Format
### Human-readable (default)
```
Tool: wrk
Target URL: https://example.com/api/health
Concurrency steps: [1, 10, 50, 100, 200, 500]
Duration per step: 10s
----------------------------------------------------------------------------------
Conc. | RPS | Avg(ms) | P50(ms) | P90(ms) | P99(ms) | Errors | Inflection
----------------------------------------------------------------------------------
1 | 245.3 | 4.1 | 3.8 | 5.2 | 8.1 | 0.00% |
10 | 2301.5 | 4.3 | 4.0 | 5.8 | 9.3 | 0.00% |
50 | 9876.2 | 5.1 | 4.6 | 7.2 | 12.5 | 0.00% |
100 | 14523.1 | 6.9 | 5.8 | 10.3 | 22.7 | 0.00% |
200 | 15102.3 | 13.2 | 10.1 | 22.5 | 58.3 | 0.12% | ◀
500 | 14890.5 | 33.6 | 28.3 | 55.2 | 132.1 | 1.35% | ◀
----------------------------------------------------------------------------------
Inflection point analysis:
▶ Concurrency 200:
- p99 latency accelerating: 22.7ms → 58.3ms (increase 35.6ms, previous step increase 10.2ms)
- Throughput saturated with latency spike: RPS grew only 3.9% while p99 latency grew 156.8%
▶ Concurrency 500:
- Error rate surging: 0.12% → 1.35%
Recommended optimal concurrency: 100
```
### JSON format (`--json`)
```json
{
"url": "https://example.com/api/health",
"tool": "wrk",
"duration_per_step": 10,
"steps": [
{
"concurrency": 1,
"rps": 245.3,
"avg_latency_ms": 4.1,
"p50_ms": 3.8,
"p90_ms": 5.2,
"p99_ms": 8.1,
"total_requests": 2453,
"errors": 0
}
],
"inflection_points": [
{
"concurrency": 200,
"step_index": 4,
"reasons": ["p99 latency accelerating: ..."]
}
],
"recommended_concurrency": 100
}
```
## Prerequisites
At least one of wrk or ab must be installed:
```bash
# Ubuntu / Debian
sudo apt-get install wrk # recommendedFrom zebbern/claude-code-guide, MIT.
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Signals
- Stars
- 4,678
- Forks
- 471
- Open issues
- 3
- Last commit (this folder)
- May 31, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/zebbern/claude-code-guide
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
http-load-profiler skill. Agent Mart. https://agentmart.dev/skills/zebbern-http-load-profiler (last updated 2026-10-24)