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Evidence

evidence AI Agent Skills

Browse 5 skills related to evidence

pm-verification-protocols

80
bobmatnycbobmatnyc

QA verification gate and evidence requirements

qaverificationevidence+1
141 days ago

verification-before-completion

80
bobmatnycbobmatnyc

Run verification commands and confirm output before claiming success

verificationquality-assurancehonesty+1
141 days ago

Verification Before Completion

71
PramodDuttaPramodDutta

Enforces rigorous verification evidence before any claims of task completion, preventing false positives, untested deployments, and premature celebration with a structured gate function.

verificationcompletionevidence+2
141 days ago

link-evidence

7
kdcubekdcube

Prevents fabricated URLs. Only use links that appear in the sources pool or are provided by the user.

linkscitationsevidence+1
141 days ago

audit-evidence

danielshuedanielshue

Generate change logs, diff controlled documents, and build audit-ready evidence packs.

skillcomplianceaudit+2
141 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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