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rsyslog_build

2.3k
rsyslogrsyslog

Handles environment setup and high-performance incremental building for rsyslog.

195 days ago

rsyslog_doc

2.3k
rsyslogrsyslog

Guidelines for maintaining structured, RAG-optimized documentation and module metadata.

195 days ago

rsyslog_module

2.3k
rsyslogrsyslog

Encodes technical requirements for rsyslog modules, including concurrency, metadata, and initialization.

195 days ago

rsyslog_doc_dist

2.3k
rsyslogrsyslog

Ensures doc/Makefile.am stays in sync with changes to documentation files.

195 days ago

rsyslog_test

2.3k
rsyslogrsyslog

Standardizes testing and validation for rsyslog using the diag.sh framework.

195 days ago

rsyslog_commit

2.3k
rsyslogrsyslog

Ensures compliance with rsyslog's strict commit message and branching policies.

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

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rsyslog

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