Codex custom instructions experiment
Experimental: this is a local Codex model-catalog experiment, not installed Agent OS behavior.
The experiment replaced a 17,730-character shared GPT-5.6 instruction prompt with:
- a 4,889-character shared prompt for Sol, Terra, and Luna;
- a 1,541-character read-only prompt for Auto Review.
The design keeps request-derived authority, external/destructive boundaries, preservation of user work, proportional verification, and fresh evidence before completion. It removes duplicate warnings and reduces speculative edge-case analysis, unnecessary approval questions, over-validation, and routine status narration.
The controlled smoke suite completed 31 runs across Sol, Terra, Luna, and Auto Review. The candidate preserved the tested authority and review behavior. A first live desktop task after installation produced two meaningful updates, identified two evidence-backed PR blockers, avoided hypothetical risk lists, and stopped at a concrete next gate. That observation is anecdotal; the full behavioral matrix remains open.
The complete experiment record includes:
- both exact prompts;
- the nine-operation JSON Patch contract;
- baseline and candidate measurements;
- installation hashes and startup proof;
- rollback instructions;
- limitations and the first live observation.
Read the canonical experiment record on GitHub.
OpenAI references used for the design: