AGENT SKILL

agent-codex-lab

Fail-closed ops calibration-loop controls adapted from OpenAI Codex / MIT EQuS qubit lab (measurement skills, interdependent chains, clear-vs-noisy escalate). Deny quantum hardware spend.

License 许可
MIT
最近更新
2026-11-09
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01 前言 Front Matter

name
agent-codex-lab
description
Fail-closed ops calibration-loop controls adapted from OpenAI Codex / MIT EQuS qubit lab (measurement skills, interdependent chains, clear-vs-noisy escalate). Deny quantum hardware spend.

03 SKILL.md 正文

Agent Codex Lab

Use when running multi-step release/ops characterization (store publish chains, IAP catalog calibration, overnight CI watches).

Instructions

  1. Give each routine step a measurement skill: template, prerequisites, success/fail criteria.
  2. Persist each result before the next interdependent step.
  3. Autonomous only when signals are clear; escalate on noisy/ambiguous evidence.
  4. Routine workflows may run long; novel work needs a narrow goal.
  5. Unattended runs require progress log + check-in + steer hook.
  6. Agents own routine; humans own design/interpretation/next-step planning.
  7. Deny quantum hardware / paid Ultra lab spend under the monthly cap.
python3 scripts/agent_codex_lab.py \
  --platform ops_calibration_loop \
  --loops scripts/tests/fixtures/agent_codex_lab.json \
  --cite cxl:play-release-calibration \
  --has-skill 1 --has-prerequisites 1 \
  --has-success-fail-criteria 1 --has-template 1 \
  --prerequisites-complete 1 --result-persisted 1 \
  --signal-clear 1 --routine-workflow 1 \
  --progress-log 1 --check-in-possible 1 --steer-hook 1 \
  --agent-owns-routine 1 --human-owns-design-analysis 1

Examples

  • Allow: Play privacy→review→publish→public version verify with persisted evidence.
  • Deny: “run overnight with no log”; “novel experiment with unbounded autonomy”; quantum fridge spend.

Performance Notes

  • Zero external spend path.
  • Ranker zeros qubit/press vanity metrics.

Troubleshooting

  • Exit 2: inspect skill, chain, signal, unattended keys.
  • See docs/AGENT_CODEX_LAB.md.

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