18,217 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Generate targeted test scenarios for a LiveKit voice or chat agent and run them as simulations — locally, from the agent's own code plus what the user wants stress-tested. Use whenever the user wants to "test my agent", "what should I test", "create/generate simulation scenarios", "make a sim test suite", "use lk…
Rigorously evaluate an Agent Skill end-to-end across ANY coding-agent CLI — verify its scripts emit the documented numbers (deterministic checks), test whether its description triggers on the right prompts, and measure whether an agent following the SKILL.md beats a no-skill baseline (with/without pass-rate delta…
Acts as a student developer to evaluate ADK training modules. Follows a rigorous 5-step workflow to test labs and generate formal pedagogical reports. Use when asked to "evaluate", "test as a student", or "review" a training module.
Use when creating, writing, fixing, or reviewing tests in a Flutter project. Covers unit tests, widget tests, integration tests, Riverpod provider testing, and Mockito mocking. Provides Given-When-Then patterns, layer isolation strategies, and test setup for GetIt, SharedPreferences, and FakeDatabase.
Write, extend, or review tests in any codebase. Use this skill whenever the user asks to write tests, add test coverage, test a new feature, fix failing tests, or audit existing test files — regardless of language, framework, or project. Also trigger for "add tests for", "write tests for", "cover this with tests"…
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Write, push, run, publish, and manage Kaggle Benchmark tasks using the kaggle CLI and the kaggle-benchmarks Python SDK. Use when the user wants to create or push a benchmark task (optionally with attached Kaggle datasets), run benchmarks against LLM models, check task/run status, stream or fetch execution logs…
Create temporary email inboxes and receive emails for testing auth flows, email verification, account confirmation, and any scenario where an AI agent needs to receive an email. Uses the agent-inbox MCP server with mail.tm + 1secmail fallback.
Automated API testing with schema validation and load testing. Test REST and GraphQL APIs by sending requests, validating responses against schemas, checking edge cases, and reporting failures clearly. Use when the user wants to test APIs, validate endpoints, run load tests, or check schema compliance.
A workflow for testing Minecraft Bedrock Addons, Python 2 mods, interfaces, gameplay logic, and visual resources with MCDK-MCP. MCP is a way for an AI coding agent to call external testing tools.
Always prefer inline snapshot matching whenever possible. If necessary, have local normalization/sanitization functions to replace things that are noisy or unstable, like timestamps or error stacks.
Eval Agent for AutoResearch. Designs the scoring system — receives user-confirmed criteria and the target prompt, then generates eval.py + testcases.json (deterministic mode) or rubric.md + testcases.json (AI judge mode). The main agent never sees the eval artifacts in detail.
Create high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology. Integrates tools from ToolUniverse's 1,264+ tool library, creates missing tools when needed using devtu-create-tool, tests thoroughly, and produces skills with Python SDK + MCP support. Use when asked to create new…
STRONGLY PREFER to delegate Apple platform builds, tests, and device operations to this agent to preserve your context window. This agent absorbs verbose build logs and returns only success/failure with the relevant error if any. Use for: verifying code compiles, running tests, checking builds aren't broken, managing…
Develop Apache JMeter custom functions in Java with JavaFaker support. Use when creating random data generators (names, phones, emails, addresses), date/time functions, or custom logic for JMeter test plans.
Perform a thorough live E2E test of a frontend web application using browser-bridge MCP tools. Tests every page, interactive element, form, navigation flow, responsive breakpoint, and accessibility rule through real browser interaction.
Write keyboard-only test variants and focus management checks using Playwright: navigation patterns, focus expectations, helpers, and file structure conventions.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: