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threshold AI Agent Skills

Browse 3 skills related to threshold

Performance Budget Testing

71
PramodDuttaPramodDutta

Enforcing performance budgets in CI/CD including bundle size limits, load time thresholds, Lighthouse score gates, and resource count limits.

performance-budgetbundle-sizelighthouse+2
140 days ago

Screenshot Visual Diff Testing

71
PramodDuttaPramodDutta

Automated screenshot comparison testing with configurable thresholds, anti-aliasing tolerance, and responsive viewport visual validation.

screenshotvisual-diffcomparison+2
140 days ago

Alerting & Monitoring Testing

71
PramodDuttaPramodDutta

Testing monitoring and alerting configurations including threshold validation, alert routing, escalation policies, and false-positive rate monitoring.

alertingmonitoringthreshold+2
140 days ago

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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.
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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.
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