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K6 Script Generator · dicklesworthstone | DecimalAI

dicklesworthstone/k6-script-generator

SkillScore100Maintained

Generate k6 script generator operations. Auto-activating skill for Performance Testing. Triggers on: k6 script generator, k6 script generator Part of the Performance Testing skill category. Use when working with k6 script generator functionality. Trigger with phrases like "k6 script generator", "k6 generator", "k6".

Testingby dicklesworthstone

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

QA & Test Engineering pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/dicklesworthstone-k6-script-generator/SKILL.md

decimalai skills pull dicklesworthstone-k6-script-generator --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/dicklesworthstone-k6-script-generator/SKILL.md https://app.decimal.ai/s/dicklesworthstone-k6-script-generator/SKILL.md

Raw file: /s/dicklesworthstone-k6-script-generator/SKILL.md ↗ · machine-readable summary at /s/dicklesworthstone-k6-script-generator.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 22d ago

Yes — +5% lift · at higher cost+30% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-18	✗→✓	▲ Improved	-12%	0%
case-01	✓→✓	＝ Same ✓	27%	0%
case-02	✓→✓	＝ Same ✓	18%	0%
case-03	✓→✓	＝ Same ✓	48%	0%
case-04	✓→✓	＝ Same ✓	25%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

dicklesworthstone / pi_agent_rust

tests/ext_conformance/artifacts/plugins-community/skills/10-performance-testing/k6-script-generator/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v1

Skill contents

SKILL.md

K6 Script Generator

Overview

This skill provides automated assistance for k6 script generator tasks within the Performance Testing domain.

When to Use

This skill activates automatically when you:

Mention "k6 script generator" in your request
Ask about k6 script generator patterns or best practices
Need help with performance testing skills covering load testing, stress testing, benchmarking, and performance monitoring.

Instructions

Provides step-by-step guidance for k6 script generator
Follows industry best practices and patterns
Generates production-ready code and configurations
Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with k6 script generator" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

Relevant development environment configured
Access to necessary tools and services
Basic understanding of performance testing concepts

Output

Generated configurations and code
Best practice recommendations
Validation results

Error Handling

| Error | Cause | Solution | |-------|-------|----------| | Configuration invalid | Missing required fields | Check documentation for required parameters | | Tool not found | Dependency not installed | Install required tools per prerequisites | | Permission denied | Insufficient access | Verify credentials and permissions |

Resources

Official documentation for related tools
Best practices guides
Community examples and tutorials

Related Skills

Part of the Performance Testing skill category. Tags: performance, load-testing, k6, jmeter, benchmarking

Illustrative Want to see what dicklesworthstone/k6-script-generator would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

8/30/2026, 03:51 UTC · 22 cases

Lift

+5%

100% vs 95%

Agent turns

1.0 vs 1.0

Tokens

+30%

2,379.14 vs 1,837.45

fail → pass · 1pass → pass · 21

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 I want to simulate 100 concurrent users accessing an endpoint over 5 minutes, gradually stepping up from 0 to 100 VUs over 1 minute, holding for 3 minutes, and ramping down. Base models usually suggest raw JavaScript loops or `while(true)`. How should this load profile be declared in a k6 script options object?	pass→pass	9,747	15,277	+57%	1	1	0%	1,928	2,439	+27%	0	0	—
case-02 I need to hit an API at exactly 50 requests per second regardless of server response latency. Base models often suggest adjusting `sleep()` duration manually. Which k6 scenario executor guarantees fixed request rates?	pass→pass	8,245	13,172	+60%	1	1	0%	1,536	1,813	+18%	0	0	—
case-03 Write a snippet sending a JSON body `{"user":"test"}` to `https://httpbin.test/post`. Base models often forget content-type headers or pass JS objects directly. How must the payload and headers be formatted in k6 `http.post`?	pass→pass	11,058	11,998	+9%	1	1	0%	1,149	1,699	+48%	0	0	—
case-04 I want the load test to fail if the 95th percentile response time exceeds 500ms. Base models often place threshold rules under `checks`. Where and how should this constraint be configured in k6 script options?	pass→pass	14,845	10,186	-31%	1	1	0%	1,840	2,306	+25%	0	0	—
case-05 I am loading a 50MB JSON file containing test user credentials across 500 VUs. Base models often import the JSON using `open()` directly inside the default function, consuming high memory per VU. What k6 construct ensures the file is loaded into shared memory once?	pass→pass	7,984	15,313	+92%	1	1	0%	1,401	2,195	+57%	0	0	—
case-06 I need to measure processing time for custom business logic steps separately from HTTP metrics. Base models often log timestamps via `console.log`. Which k6 class should be imported to track dynamic duration metrics?	pass→pass	12,437	7,323	-41%	1	1	0%	1,436	1,806	+26%	0	0	—
case-07 How do I read a target URL passed via CLI command `k6 run -e TARGET_URL=https://example.com script.js` inside the script? Base models usually try using Node's `process.env`.	pass→pass	10,919	13,451	+23%	1	1	0%	1,060	2,038	+92%	0	0	—
case-08 I need a single Virtual User to fetch three assets (`/style.css`, `/app.js`, `/logo.png`) concurrently in one iteration. Base models sequence them with multiple sequential `http.get()` statements. What k6 function executes these simultaneously?	pass→pass	4,632	9,412	+103%	1	1	0%	895	2,270	+154%	0	0	—
case-09 I need to acquire an OAuth token before load testing starts and invalidate it after all VUs complete. Base models often run authentication inside the default execution loop. Which lifecycle functions should be declared for pre-test and post-test tasks?	pass→pass	13,439	15,354	+14%	1	1	0%	1,641	2,399	+46%	0	0	—
case-10 How do I verify that an HTTP response returned status 200 without aborting the VU execution on failure? Base models often use standard JS `if/throw` statements.	pass→pass	16,685	8,183	-51%	1	1	0%	2,151	1,887	-12%	0	0	—
case-11 I want to load test a WebSocket endpoint `wss://echo.websocket.org`. Base models often try using the standard Web Browser `WebSocket` class. Which k6 module handles WebSocket connections?	pass→pass	8,698	17,885	+106%	1	1	0%	1,711	3,014	+76%	0	0	—
case-12 I need to issue a unary gRPC request to a proto service endpoint in k6. Base models often try calling `http.post` on gRPC ports. Which k6 client module and connection method should be used?	pass→pass	11,050	9,702	-12%	1	1	0%	1,464	2,136	+46%	0	0	—
case-13 When running high-throughput stress tests where response content is not validated, memory usage spikes. Base models usually suggest increasing machine RAM. Which k6 script option reduces memory footprint by skipping body retention?	pass→pass	10,725	7,202	-33%	1	1	0%	980	1,655	+69%	0	0	—
case-14 How can I group related HTTP calls like `/login` and `/dashboard` together so that their combined duration is tracked as a distinct metric segment in k6 reports? Base models use custom timing calculations.	pass→pass	19,438	14,054	-28%	1	1	0%	2,224	3,303	+49%	0	0	—
case-15 I need to inspect and set cookies explicitly across HTTP requests for a single VU session. Base models often recommend setting raw `Cookie` headers manually on every call. What k6 API manages cookies per VU?	pass→pass	11,511	16,256	+41%	1	1	0%	2,212	2,603	+18%	0	0	—
case-16 I want to track the percentage of business transactions that successfully complete vs fail using a dedicated percentage metric. Base models use a simple integer counter. Which k6 metric type tracks rates/percentages?	pass→pass	4,574	13,987	+206%	1	1	0%	627	2,034	+224%	0	0	—
case-17 I want individual HTTP requests to fail if the backend takes longer than 3 seconds to respond. Base models often set global script timeouts or OS socket parameters. How is per-request timeout configured in k6 http request parameters?	pass→pass	16,033	14,255	-11%	1	1	0%	1,995	2,164	+8%	0	0	—
case-18 How do I tag a specific HTTP request so that metrics backend can filter metrics by `tier: backend`? Base models add query strings to URLs.	fail→pass	19,192	10,415	-46%	1	1	0%	2,602	2,295	-12%	0	0	—
case-19 How should a Virtual User pause for 2.5 seconds between iterations to simulate real user think time? Base models often recommend `setTimeout` or synchronous busy loops.	pass→pass	19,177	14,617	-24%	1	1	0%	2,377	2,176	-8%	0	0	—
case-20 I am experiencing local port exhaustion on Linux when pushing high throughput from my load generator machine. How do I adjust `sysctl` Linux kernel parameters like `net.ipv4.ip_local_port_range`?	pass→pass	19,581	22,322	+14%	1	1	0%	2,825	3,649	+29%	0	0	—
case-21 During our load test run, the target server CPU usage spiked to 98% in Grafana telemetry charts. How do I analyze Linux system processes using `top` or `htop` via SSH to find the offending process?	pass→pass	15,388	19,302	+25%	1	1	0%	2,666	2,732	+2%	0	0	—
case-22 How do I manually configure a `ThreadGroup` and `HTTPSamplerProxy` node inside an Apache JMeter `.jmx` XML file?	pass→pass	46,465	20,698	-55%	1	1	0%	3,704	3,728	+1%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +5 percentage points is the difference between those two pass rates over the 22 comparable cases.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 95.5%
Pass rate with the skill: 100%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 0
Skill version measured: v1
Run completed: 8/30/2026, 03:51 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-18

Prompt

How do I tag a specific HTTP request so that metrics backend can filter metrics by `tier: backend`? Base models add query strings to URLs.

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signals1 of 4 complete

BenchmarkPass rate WITH skill on a verified run100

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Efficiency · separate axis (at equal correctness)+0% turns+32% tokens

Shown for transparency; not credited unless a verified run shows no correctness regression.

Backed by 1 of 4 signals — each added signal makes the score more robust.

Verified on gemini-3.6-flash · re-tested 22 days ago

Other measured skills in the registry, with their headline benchmark lift.