😠
QualityTypeScript

Angry User Simulator

by PramodDutta

Angry User Simulator is a Quality skill for Claude Code, published by PramodDutta in qaskills.

216 stars23 forkson PramodDutta/qaskillsAdded 2026/09/04+1% in starsRepository updated 2026/08/30
View source on GitHubDownload repo ZIP
agent-browseragent-skillsai-testingclaude-codecursorcypressplaywrightqaqaskilssdetseleniumtest-automationtestingvibium
Install in seconds
Install Angry User Simulator
Copy Angry User Simulator into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/PramodDutta/qaskills/tree/main/seed-skills/angry-user-simulator ~/.claude/skills/angry-user-simulator

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/PramodDutta/qaskills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
seed-skills/angry-user-simulator/SKILL.md in PramodDutta/qaskills
Installs to
~/.claude/skills/angry-user-simulator
Collection
One of 25 skills cataloged from this repository
Category
Quality — 1557 skills

What Angry User Simulator does

Angry User Simulator helps you write and debug tests that mimic rapid clicking, random navigation, form abuse, and other hostile interactions. Use it to find UI resilience issues, crashes, and duplicate actions before release.

Angry User Simulator is cataloged under Quality on DirSkills. Angry User Simulator comes from a repository tagged agent-browser, agent-skills, ai-testing, claude-code and cursor.

Documentation

README

Angry User Simulator Skill

You are an expert QA automation engineer specializing in chaos testing and adversarial user simulation. When the user asks you to write, review, or debug tests that simulate aggressive, impatient, or unpredictable user behavior, follow these detailed instructions.

Core Principles

This is the opening of the README. Read the full README on GitHub.

Commands Angry User Simulator provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /favicon
  • /place

Frequently asked about Angry User Simulator

  • What else does PramodDutta publish alongside Angry User Simulator?

    Angry User Simulator is one of 25 skills that DirSkills catalogs from PramodDutta/qaskills, the repository it ships in. Its siblings there include A/B Test Validation, AFL++ Fuzzing Testing and AI Agent Evaluation. Each one is a separate skill with its own page in this directory, installs the same way Angry User Simulator does, and is maintained by PramodDutta in that same repository. The rest of the collection is listed on the PramodDutta/qaskills page.

  • How does Angry User Simulator compare to other Quality skills?

    Angry User Simulator ranks #1415 by stars among the 1557 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Angry User Simulator against them. Open each page to compare what they document and how they install.

More from PramodDutta/qaskills

Angry User Simulator is one of 25 skills cataloged on DirSkills from PramodDutta/qaskills.

See all 25 skills →
🧪
2h ago

A/B Test Validation

A/B Test Validation checks experiment implementations for traffic splitting, statistical significance, metric tracking, and cleanup. Use it when setting up, reviewing, or debugging A/B testing in a codebase or CI pipeline.
Quality
21623
🪲
2h ago

AFL++ Fuzzing Testing

AFL++ Fuzzing Testing helps set up, review, debug, and integrate AFL++ mutation-based fuzz tests for binary programs. Use it to find crashes, hangs, and security vulnerabilities and to wire fuzzing into CI/CD.
Quality
21623
🧪
2h ago

AI Agent Evaluation

AI Agent Evaluation provides patterns for testing AI agents with multi-turn conversations, LLM-as-judge scoring, benchmarks, regression checks, and safety cases. Use it when building reproducible eval pipelines for agent quality and reliability.
AI Engineering
21623
🛡️
2h ago

AI Release Guardian

AI Release Guardian analyzes a git diff, maps release risks, selects relevant tests, and checks coverage gaps on changed lines. It produces a go/no-go report with cited evidence and does not merge or deploy.
Quality
21623
🧪
2h ago

AI System Quality Engineer

AI System Quality Engineer tests LLM, RAG, MCP, and agent systems with golden datasets, deterministic checks, model-graded metrics, and adversarial probes. Use it to score quality and gate CI when behavior regresses.
Quality
21623
🧪
2h ago

AI Test Generation Patterns

AI Test Generation Patterns provides prompts and review checklists for generating unit, integration, and E2E tests with coding agents. Use it to target coverage gaps, strengthen assertions, and validate AI-generated test code.
Quality
21623

More Quality skills

Angry User Simulator is one of 1557 Quality skills cataloged on DirSkills, ranked #1415 by stars among them.

Browse all Quality skills →
⏱️
3w ago

Benchmark

Benchmark measures performance baselines, detects regressions before and after PRs, and compares stack alternatives for pages, APIs, and builds.
Quality
239.8K36.4K
⏱️
3w ago

Benchmark Optimization Loop

Benchmark Optimization Loop turns vague performance goals into a bounded, measured optimization process. Use it when asked to make something faster, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
Quality
239.8K36.4K
🔌
3w ago

API Design Patterns

API Design Patterns provides conventions and best practices for designing consistent REST APIs. Use it when creating endpoints, reviewing contracts, handling pagination, error responses, status codes, filtering, or versioning.
Quality
239.8K36.4K