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dast-ffuf

64
AgentSecOpsAgentSecOps

Fast web fuzzer for DAST testing with directory enumeration, parameter fuzzing, and virtual host discovery. Written in Go for high-performance HTTP fuzzing with extensive filtering capabilities. Supports multiple fuzzing modes (clusterbomb, pitchfork, sniper) and recursive scanning. Use when: (1) Discovering hidden directories, files, and endpoints on web applications, (2) Fuzzing GET and POST parameters to identify injection vulnerabilities, (3) Enumerating virtual hosts and subdomains, (4) Testing authentication endpoints with credential fuzzing, (5) Finding backup files and sensitive data exposures, (6) Performing comprehensive web application reconnaissance.

dastfuzzingweb-fuzzer+5
195 days ago

ffuf

9
TerminalSkillsTerminalSkills

Discover hidden content, directories, subdomains, and API endpoints with ffuf — the fastest web fuzzer. Use when someone asks to "find hidden directories", "fuzz URLs", "discover API endpoints", "subdomain enumeration", "content discovery", "ffuf", "brute force paths", or "find hidden files on a website". Covers directory fuzzing, parameter fuzzing, subdomain discovery, virtual host enumeration, and recursive scanning.

195 days ago

pt-fuzzing-web-api

3
santosomarsantosomar

Performs authorized fuzzing of web applications and APIs to discover input validation failures, parser bugs, and stability issues. Use when testing HTTP endpoints, request parameters, payload handling, and error behavior under malformed or unexpected inputs.

195 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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