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 cosmicstack-labs/mercury-agent-skills --skill performance-testinggit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-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/cosmicstack-labs/mercury-agent-skills/performance-testing)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/performance-testing"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/performance-testing/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/cosmicstack-labs/mercury-agent-skills/performance-testing"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/performance-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 45 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00024 | $0.00504 |
| Opus 5 | $0.00012 | $0.00252 |
| Sonnet 5 | $0.00005 | $0.00101 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
performance-testing 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 8d 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.
What it actually says
Performance Testing
Load, stress, and spike test your systems to ensure reliability at scale.
Types of Performance Tests
| Type | Goal | Pattern |
|---|---|---|
| Smoke | Verify basic perf with minimal load | 1-5 users for 1 min |
| Load | Test under expected traffic | Ramp to target, hold 10-30 min |
| Stress | Find breaking point | Ramp up until failure |
| Spike | Handle sudden traffic bursts | Instant 10x load for 2-5 min |
| Endurance | Detect memory leaks over time | Sustained load for 1-24 hrs |
| Soak | Verify long-term stability | 50% load for hours |
k6 Patterns
import http from 'k6/http';
import { check, sleep } from 'k6';
export const options = {
stages: [
{ duration: '2m', target: 100 }, // Ramp up
{ duration: '5m', target: 100 }, // Hold
{ duration: '1m', target: 0 }, // Ramp down
],
thresholds: {
http_req_duration: ['p(95)<500'],
http_req_failed: ['rate<0.01'],
},
};
export default function () {
const res = http.get('https://api.example.com/users');
check(res, {
'status is 200': (r) => r.status === 200,
'response time < 300ms': (r) => r.timings.duration < 300,
});
sleep(1);
}
Bottleneck Analysis Flow
- Run test → find slow endpoint
- Check DB query plans
- Check app server CPU/memory
- Check external service latency
- Add caching or optimize query
- Re-test to verify improvement
Automation
- Run smoke tests on every PR
- Run full perf suite nightly
- Alert on threshold breaches
- Track latency percentiles over time in dashboards
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.
- 8d ago First seen · 67 lines · 24 tokens per session scan A d7f07450e6fa
performance-testing is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 17d ago), licensed MIT. It adds 24 tokens to every session and 504 once invoked, about $0.0001 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 2026-09-03.
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