Skill Detail
Model user behavior and run distributed load tests before backend changes face real traffic with Locust
Script realistic user flows in Python and fan them out across workers so agents can pressure-test services before rollout.
Monitoring & AlertsMulti-Framework
Monitoring & Alerts
Multi-Framework
Security Reviewed
β 27.7k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill model-user-behavior-and-run-distributed-load-tests-before-backend-changes-face-real-traffic-with-locust
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python, Locust, and access to the target service or test environment
Install & setup
Install with `pip install locust`, define user behavior in a `locustfile.py`, then run `locust` locally or with workers against the target environment and review the generated stats.
Author
Locust
Publisher
Organization
Last updated
Apr 17, 2026
Quick brief
Use Locust when an agent needs to express user behavior as executable scenarios, run them at scale, and inspect latency or failure patterns before a release or capacity change. Invoke it instead of ad hoc curl loops or single-endpoint smoke checks when the real task is distributed scenario-based load testing. The scope boundary is specific and skill-shaped: model and run load scenarios against a target service, not general observability, generic backend development, or a plain load-testing product card.