Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/setrathexx/codex-engineering-workflow-pack/run-supervised-checkpointnpx skills add SetraTheXX/Codex-Engineering-Workflow-Pack --skill run-supervised-checkpointgit clone --depth 1 https://github.com/SetraTheXX/Codex-Engineering-Workflow-PackWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/setrathexx/codex-engineering-workflow-pack/run-supervised-checkpoint)<a href="https://agentmods.dev/skills/setrathexx/codex-engineering-workflow-pack/run-supervised-checkpoint"><img src="https://agentmods.dev/badge/skills/setrathexx/codex-engineering-workflow-pack/run-supervised-checkpoint.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00050 | $0.00755 |
| Opus 5 | $0.00025 | $0.00378 |
| Sonnet 5 | $0.00010 | $0.00151 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
run-supervised-checkpoint scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Run A Supervised Checkpoint
Use canonical JSON from cewp supervise; generated Markdown is a view, not mutable state. Keep the ChatGPT/Codex host in the operator role while CEWP owns the isolated child worktree.
- Run
cewp supervise status [run-id] --jsonand state the current run/checkpoint status, plan revision, owner/backend, latest evidence, budget consumption, warnings, blocker, and next safe action. - Perform no more than one CEWP-controlled model operation per invocation. Local verification commands do not count as model operations, but their approved limits still apply.
- Follow only the transition matching canonical state:
proposed: show the plan and runcewp supervise approve <run-id> --yes --jsononly after explicit approval. Stop before dispatch.approved/ready: if the operator explicitly requested a Codex task class, model, or effort, record it first withcewp supervise effort <run-id> --operation implementation --task-class <class> [--model <model>] [--effort <effort>] --yes --json. Never infer model or effort from the class. Then runcewp supervise execute <run-id> --yes --jsononly after explicit execution approval. If dispatch reachesverifying, runcewp supervise verify <run-id> --json; then stop at the verified, repair, paused, or blocked result.needs-repair/repair-ready: explain the failure signature and remaining repair allocation. Record any explicitly requested repair-specific Codex selection throughcewp supervise effort ... --operation repair ... --yes --json; do not reuse or change implementation settings implicitly. Runcewp supervise retry <run-id> --yes --jsononly when the user explicitly chooses retry, then run local verification and stop.checkpoint-complete/verified: offer final review or a safe pause for one manually bounded next checkpoint. For final review, record any explicitly requested independent-review Codex selection throughcewp supervise effort ... --operation reviewer ... --yes --json, recordcewp supervise continue <run-id> --json, runcewp supervise review <run-id> --yes --json, and stop at the reviewer decision. For more work, hand off to the resume workflow without dispatching another model operation.review-passed: runcewp supervise receipt <run-id> --jsonto preview the receipt. Do not finalize in the same step unless the user already gave explicit finalize intent after seeing equivalent receipt facts.ready-to-finalize: runcewp supervise finalize <run-id> --yes --jsononly after explicit finalization approval.- any
paused-*orblocked: do not dispatch. Present Core recovery actions and hand off to the resume workflow.
- Treat any nonzero command, scope warning, failed verification, missing reviewer decision,
REQUEST_CHANGES,BLOCK, exhausted allocation, host limit, or ownership mismatch as a closed gate. - Report the resulting canonical status and exact next safe command. Never label dispatch completion, partial files, or a reviewer request as checkpoint success.
Do not edit the managed worktree from the host task, bypass --yes, borrow protected allocations, automatically add budget, switch backend/provider, merge, push, publish, tag, or release.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 24 lines · 50 tokens per session scan A eeea4172c053
run-supervised-checkpoint is a skill published in the GitHub repository SetraTheXX/Codex-Engineering-Workflow-Pack (1 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 755 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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