Certification program for AI agents

[danielbentes]

Context

There is no formal certification mechanism for agents to demonstrate conformance with the standard. A tiered certification program would create adoption incentives and provide trust signals for enterprise buyers. (Roadmap Section 4.3)

Objective

Establish a formal certification program with graduated levels, automated testing, and a public registry of certified agents.

Tasks

• Define Level 1 (Grounded): L2 conformance, checkpoint-before-mutation
• Define Level 2 (Auditable): L3 conformance, evidence lineage, audit trails
• Define Level 3 (Safe): L4 conformance, recovery loops, adversarial testing
• Build certification toolkit with automated test harness
• Build certification registry with public listing of certified agents
• Define annual recertification process aligned with standard version updates

Acceptance Criteria

• Three certification levels are formally defined with clear requirements
• Automated test harness can evaluate agents against certification criteria
• Public registry lists certified agents with their certification level and expiry date
• Recertification process is documented and automated

Related

• Conformance levels: spec/STANDARD-v1.0.0.md
• Conformance tests: scripts/run_conformance.py
• Governance model: spec/GOVERNANCE.md