DAG-TOML as a potential evidence layer for ADACG

Hello ADACG members,

I'd like to propose DAG-TOML (from agent-assurance.dev) as a practical evidence and traceability specification that can complement the excellent work planned for the Open KYA Manifest and Agent Assurance mechanisms.

What is DAG-TOML?
It is a lightweight, human- and machine-readable TOML-based format focused on post-action evidence. It records:

  *   Agent intent and claimed actions
  *   Dependency graphs and closure roots (traceability)
  *   Human review gates for high-impact or self-modifying work
  *   Selective disclosure / redaction controls

How it relates to ADACG deliverables:

It can serve as one concrete mechanism for Agent Assurance, providing verifiable proof of what an agent actually did versus what it declared in a KYA Manifest.
Strong fit for Graduated Conformance Profiles and Runtime Integrity use cases.
Especially useful for governance frameworks like OpenAI's Frontier Governance Framework, EU AI Act, and NIST-style risk management.

Affiliation Disclosure:
I am currently employed by ServiceNow in [Snr Staff Systems Architect, Gold Coast, Australia]. However, the DAG-TOML specification and https://agent-assurance.dev work was created completely independently of my employment. I am contributing to this Community Group in my personal capacity only and do not represent my employer's views or positions.

verivus-oss/agent-assurance is licensed under the Apache License 2.0 | A permissive license whose main conditions require preservation of copyright and license notices. Contributors provide an express grant of patent rights. Licensed works, modifications, and larger works may be distributed under different terms and without source code.

I'm would love to share the spec, examples, and discuss how it could integrate with the JSON-LD KYA manifest approach.
Contribute a short mapping document

Looking forward to your thoughts.

Best regards,
Werner Kasselman
(Independent contributor - https://agent-assurance.dev | https://github.com/verivus-oss/agent-assurance)
X: @wernerk_au