Codex Safety Guide: Permissions, Boundaries, and Agent Audits
7 min readReviewed
Putting an agent into a real development flow is no longer just about better prompts. The important work is deciding what the agent can see, what it can change, and when a human must approve the next action.
OpenAI's own Codex guidance emphasizes technical boundaries, approval points, and agent-native telemetry. For teams, that translates into scoped workspaces, explicit command policies, and logs that explain what the agent did.
Before delegation, write the task boundary, allowed files, verification command, and approval triggers. The agent should know the finish line before it starts moving.
Codex control checklist
Sources and evidence
Sources
- OpenAI Codex documentation (approvals, sandboxing)Checked 2026-07-11Medium volatility
Use for the documented Agent approvals and security, Sandboxing, and Auto-review capabilities that this checklist builds on.
Evidence
- Decision matrixChecked 2026-07-11
An editorial source ledger recording which official pages were checked and on what date — not a measured benchmark.
Methodology
MethodologyRefresh due: 2026-09-09