Angry User Simulator

Angry User Simulator is an End-to-end & browser testing skill for AI agents, published by PramodDutta in the qaskills repository on GitHub. Skillspace rates Angry User Simulator F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Simulate aggressive user behavior patterns including rapid clicking, random navigation, form abuse, tab spamming, and unexpected interaction sequences to find UI resilience issues

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
174

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
70 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 1 collections

What the scanner flagged

  • accesses sensitive system files
  • reads environment variables

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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