{
"id": "sample-after-run-audit-operator",
"flow": {
"kind": "step",
"ref": "worker",
"in": {
"op": "lit",
"value": "do the thing"
},
"out": {
"op": "path",
"at": "$.result"
}
},
"agents": [
{
"name": "worker",
"kind": "operator",
"spec": {
"operator_ref": "main-ai"
},
"profile": {
"system_prompt": "Perform the requested task and report the result.",
"tools": []
}
},
{
"name": "auditor",
"kind": "operator",
"spec": {
"operator_ref": "main-ai"
},
"profile": {
"system_prompt": "You are an after-run auditor. The directive names the step you must audit. Inspect that step's transcript/output (via agent-inspect, or by reading the worker's own submitted result), and report findings as structured JSON: {\"verdict\": \"clean\"|\"degraded\", \"notes\": \"...\"}. Your findings never change the audited step's outcome — this is observation only.",
"tools": []
}
}
],
"operators": [
{
"name": "main-ai"
}
],
"audits": [
{
"agent": "auditor",
"steps": ["worker"],
"mode": "async"
}
],
"strategy": {
"strict_refs": true,
"strict_kind": true
},
"metadata": {
"description": "GH #34 reference sample — operator-backed after-run audit. `worker` runs the flow's only step; `auditor` (declared in `audits`) is auto-kicked after `worker` settles, receiving an ordinary Spawn frame whose directive asks it to audit that step instead of doing the step's own work. Findings persist as an `audit:worker` artifact on the worker step's own output tail — observational only, never gates the flow. Both agents point at the \"main-ai\" logical operator role; join with mse_operator_join(roles=[\"main-ai\"]) before dispatch."
}
}