Automate Locust-based performance testing of Python applications in CI pipelines.
npx skills add https://github.com/CybLow/pypaginate --skill test-load
Please help me install this Agent Skill. Skill: test-load Source: https://github.com/CybLow/pypaginate/tree/main/.opencode/skills/test-load Command: npx skills add https://github.com/CybLow/pypaginate --skill test-load
Load and performance testing of Python applications can be time-consuming and brittle without a repeatable framework. This Skill provides an end-to-end Locust-based workflow to simulate realistic user load, collect performance metrics, and validate SLAs across local, staging, and distributed environments. It supports CI integration, automated performance assertions, and scalable test orchestration.
Run a Locust load test against your API to observe latency, throughput, and reliability in CI.
High-intent search queries and answers about installing and using this skill.
Automate Locust load testing in your CI pipeline by orchestrating distributed test runs against staging environments, collecting throughput and latency metrics, and enforcing automated performance assertions to verify SLAs.
Distributed load testing simulates high user traffic across multiple machines to stress-test Python apps. You need it when a single machine cannot generate enough concurrent requests to validate SLA thresholds under realistic peak load.
Verify SLA thresholds by running Locust load tests to collect latency and reliability metrics, then applying automated performance assertions that fail the test run if response times or error rates exceed your defined SLA limits.
Yes, Locust supports containerized load testing environments. You can orchestrate distributed Locust workers in containers to generate scalable load, collect performance metrics, and validate SLAs across your staging infrastructure.
The best way to run end-to-end performance testing for Python APIs is using a Locust-based workflow that simulates realistic user load, collects metrics, and validates SLAs through automated assertions integrated directly into your CI pipeline.
Load testing fails to reach target concurrency without distributed Locust workers because a single machine hits CPU and network limits. Distributed testing scales load generation across multiple nodes to accurately simulate realistic traffic.
congiulucAutomate load testing for Python APIs using Locust and k6.
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dan323Orchestrate multi-step processes defined in YAML workflows.
involvexCoordinate specialized agents to profile, tune, and load test application performance.
