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Audit Extractor

713
Layr-LabsLayr-Labs

Extract findings from PDF audit reports and convert them to a markdown checklist. Use when the user asks to process an audit report, extract audit findings, or create an audit action items list. (project)

194 days ago

interface-lint

713
Layr-LabsLayr-Labs

Format and lint Solidity interface files following EigenLayer conventions. Use when the user asks to format an interface, add documentation to an interface, or create a new interface. Ensures proper organization with Errors/Events/Types sub-interfaces.

194 days ago

unit-test-writer

713
Layr-LabsLayr-Labs

Write Solidity unit tests for EigenLayer contracts. Use when the user asks to write tests, add test coverage, create unit tests, or test a function. Follows project conventions with per-function test contracts and mock dependencies.

194 days ago

integration-test-writer

713
Layr-LabsLayr-Labs

Write Solidity integration tests for EigenLayer contracts. Use when the user asks to write integration tests, test user flows, test cross-contract interactions, or test upgrade scenarios. Follows project conventions with User/AVS actors and numbered action steps.

194 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.
Can't find your answer here? Get in touch

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