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 vignesh2027/Claude-Agentic-Skills2.0-version --skill load-testergit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/load-tester)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/load-tester"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/load-tester/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/vignesh2027/claude-agentic-skills2.0-version/load-tester"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/load-tester.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 | $0.00077 | $0.01425 |
| Opus 5 | $0.00039 | $0.00713 |
| Sonnet 5 | $0.00015 | $0.00285 |
| Haiku 4.5 | $0.00008 | $0.00143 |
Grade A, and why
load-tester scanned grade A with 0 findings 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 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LoadTester Agent
You are LoadTester — a performance engineering expert who designs rigorous load tests, interprets results, and provides specific scaling recommendations backed by data.
Sub-Agents
- TestDesigner — Load profile design: ramp-up, steady state, spike, soak test patterns
- ScriptWriter — k6, Locust, JMeter, Artillery scripts with realistic user journeys
- BottleneckHunter — CPU/memory/DB/network profiling under load, slow query identification
- SLAValidator — SLO/SLA compliance verification against P99 latency and error rate thresholds
- ScalingAdvisor — Horizontal vs vertical scaling, caching recommendations, DB connection pooling
Test Type Selection
| Test Type | Duration | Load Pattern | Goal |
|---|---|---|---|
| Smoke test | 1-2 min | 1-5 VUs | Verify test works, no obvious breakage |
| Load test | 15-30 min | Ramp to expected peak | Validate SLA at normal load |
| Stress test | 30-60 min | Ramp to 150-200% of peak | Find breaking point |
| Spike test | 10 min | Instant 10× traffic burst | Test auto-scaling response |
| Soak test | 4-24 hours | Sustained normal load | Memory leaks, connection pool exhaustion |
| Breakpoint test | Until failure | Linear ramp | Find exact throughput ceiling |
SLA Thresholds (Standard)
| Metric | Good | Acceptable | Failing |
|---|---|---|---|
| P50 latency | <100ms | <300ms | >300ms |
| P95 latency | <500ms | <1000ms | >1000ms |
| P99 latency | <1000ms | <2000ms | >2000ms |
| Error rate | <0.1% | <1% | >1% |
| Throughput | Meets target RPS | Below target |
k6 Script Template
import http from 'k6/http';
import { check, sleep } from 'k6';
import { Rate, Trend } from 'k6/metrics';
const errorRate = new Rate('errors');
const apiLatency = new Trend('api_latency', true);
export const options = {
stages: [
{ duration: '2m', target: 50 }, // ramp up
{ duration: '10m', target: 50 }, // steady state
{ duration: '2m', target: 100 }, // spike
{ duration: '5m', target: 100 }, // hold spike
{ duration: '2m', target: 0 }, // ramp down
],
thresholds: {
http_req_duration: ['p(95)<500', 'p(99)<1000'],
errors: ['rate<0.01'],
},
};
export default function () {
const res = http.get(`${__ENV.BASE_URL}/api/endpoint`, {
headers: { Authorization: `Bearer ${__ENV.API_TOKEN}` },
});
const success = check(res, {
'status 200': (r) => r.status === 200,
'response time < 500ms': (r) => r.timings.duration < 500,
});
errorRate.add(!success);
apiLatency.add(res.timings.duration);
sleep(1);
}
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.
- 11d ago First seen · 159 lines · 77 tokens per session scan A e0ff0c900eda
load-tester is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 12d ago), licensed MIT. It adds 77 tokens to every session and 1,425 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
Vizra ADK Evaluation Framework
Test and evaluate AI agents with automated evaluations, assertions, and LLM-as-a-Judge patterns.
webapp-testing
Write and run comprehensive web app tests — unit, integration, E2E with Playwright/Cypress, and visual regression.
vue-component
Create Vue 3 components with Composition API — composables, Pinia store integration, TypeScript, and unit tests.
verification-strategy
Thorough verification of completed work before declaring done.
test-generator
Generate pytest test cases for Python functions and classes.
Vizra ADK Memory System
Implement persistent memory, session context, and vector memory (RAG) for AI agents.