Prompt Library Hardening with Codex: SKILL.md Template
A production playbook for prompt library hardening in cross-industry operations using Codex: skill.md template, run-scoped inputs, logs, typed results, and artifacts.
Audience: AI platform teams maintaining reusable prompts
The problem
AI platform teams maintaining reusable prompts need prompt library hardening to run repeatedly against prompt folders, examples, red-team cases, and tool rules. 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 prompt folders, examples, red-team cases, and tool rules 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 prompt library hardening, 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 prompt library hardening using Codex.
Read only /skill/.argo/inputs.
Write artifacts to /skill/output/artifacts.
Return argo.result.v1 with body.type = "prompt_library_hardening".
Run this on Argo