Tool Permission Review with Codex: API Runtime Pattern
A production playbook for tool permission review in cross-industry operations using Codex: api runtime pattern, run-scoped inputs, logs, typed results, and artifacts.
Audience: Security reviewers for AI tools
The problem
Security reviewers for AI tools need tool permission review to run repeatedly against tool manifests, scopes, auth flows, and usage logs. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Package the tool permission review instructions as a skill, send tool manifests, scopes, auth flows, and usage logs as run-scoped inputs, execute with Codex, poll terminal status, and consume argo.result.v1 instead of parsing a transcript.
Tradeoffs and failure modes
The API boundary forces the workflow to define inputs, terminal states, and result shape before customers depend on it. For tool permission review, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Run request
POST /api/skills/<skill_id>/run
provider=codex
workflow=tool-permission-review
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo