Long-Running Agent Job with Codex: SKILL.md Template
A production playbook for long-running agent job in cross-industry operations using Codex: skill.md template, run-scoped inputs, logs, typed results, and artifacts.
Audience: AI product teams running multi-minute workflows
The problem
AI product teams running multi-minute workflows need long-running agent job to run repeatedly against documents, repos, tool access, and output contracts. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Put the operating procedure in SKILL.md, keep examples beside the skill, attach documents, repos, tool access, and output contracts per run, and let Argo turn the folder into a repeatable Codex execution.
Tradeoffs and failure modes
A skill folder is less flexible than an open chat, but it gives the product a versioned workflow that can be tested and rolled back. For long-running agent job, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
SKILL.md starter
# SKILL.md
You run long-running agent job using Codex.
Read only /skill/.argo/inputs.
Write artifacts to /skill/output/artifacts.
Return argo.result.v1 with body.type = "long_running_agent_job".
Run this on Argo