Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add serejaris/kimi-skills --skill http-load-profilergit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/serejaris/kimi-skills/http-load-profiler)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/http-load-profiler"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/http-load-profiler/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/http-load-profiler"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/http-load-profiler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.01702 |
| Opus 5 | $0.00038 | $0.00851 |
| Sonnet 5 | $0.00015 | $0.00340 |
| Haiku 4.5 | $0.00008 | $0.00170 |
Grade B, and why
http-load-profiler scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install wrk # recommended This is a copy
100% identical to http-load-profiler — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
# 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 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 152 lines · 76 tokens per session scan B ce4839afdba6
http-load-profiler is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 1,702 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 100% identical to http-load-profiler, differing in 0 lines, and is treated as a copy.
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