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pytest Test Framework

10
FortiumPartnersFortiumPartners

Execute and generate pytest tests for Python projects with fixtures, parametrization, and mocking support

193 days ago

Framework Detector

10
FortiumPartnersFortiumPartners

Multi-signal framework detection with confidence scoring for 6 major frameworks

194 days ago

Jest Test Framework

10
FortiumPartnersFortiumPartners

Execute and generate Jest tests for JavaScript/TypeScript projects with support for unit, integration, and E2E testing

193 days ago

ExUnit Test Framework

10
FortiumPartnersFortiumPartners

Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support

193 days ago

Test Framework Detector

10
FortiumPartnersFortiumPartners

Automatically detect test frameworks (Jest, pytest, RSpec, xUnit) in projects by analyzing configuration files and dependencies

193 days ago

RSpec Test Framework

10
FortiumPartnersFortiumPartners

Execute and generate RSpec tests for Ruby projects with let bindings, before hooks, and mocking support

193 days ago

NestJS Framework

10
FortiumPartnersFortiumPartners

Node.js/TypeScript backend framework with dependency injection and modular architecture

193 days ago

xUnit Test Framework

10
FortiumPartnersFortiumPartners

Execute and generate xUnit tests for C#/.NET projects with FluentAssertions and Moq support

193 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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