Authority-before-action as a production agent factor

[rpelevin]

I am testing an authority-before-action receipt pattern for production-facing agent systems.

The gap I am looking at is narrow: before an agent executes a consequential action, can the workflow prove that this exact action was authorized before execution?

For this class of workflow, the boundary seems especially relevant around external sends, data export, deploys, permission changes, and workflow close.

Reference benchmark:
https://github.com/neurarelay/relay-action-card#agent-authority-benchmark

Dry-run command:

npm run benchmark:agent-authority -- --dry-run --json --source=github_discussion --campaign=agent_authority_week --surface=twelve_factor_agents_authority

The benchmark is refs-only and local/dry-run: no private payloads, no downstream execution by Neura, and no claim that this project has adopted, endorsed, integrated, or been evaluated by it.

Question for maintainers/users here: is a pre-action authority receipt a useful boundary for this repo's production-agent workflows, or would the better insertion point be somewhere else in the execution lifecycle?

[ishita-0301]

I think there's value in having an explicit pre-action checkpoint for high-impact operations like deploys or permission changes. It creates a clear audit trail and makes it easier to reason about what the agent was actually authorized to do.
I'd also pair that with runtime safeguards after authorization. Approval alone doesn't prevent an agent from getting stuck or repeatedly attempting a failing action. That's one reason I've been following https://github.com/FailproofAI/failproofai, which focuses on execution-time reliability. Together, authorization and runtime guardrails make a strong combination.