gpt-5-6-best-practicelisted
Install: claude install-skill wquguru/skills
# GPT-5.6 Codex Efficiency
Use this skill as a GPT-5.6 routing, prompting, and evaluation overlay for Codex.
Safety, permissions, repository instructions, and explicit user constraints remain
authoritative.
Default objective: satisfy the acceptance contract, then minimize accepted-result
cost. Lower latency, higher quality beyond the contract, or mandatory topology is a
different objective; pursue it at higher cost only when the user explicitly chooses
that tradeoff.
## Product snapshot
As verified on 2026-07-10, Sol is the flagship tier, Terra the balanced tier, and Luna
the fastest, lowest-cost tier. The `gpt-5.6` alias resolves to Sol. Light in the app and
IDE maps to Low in the CLI; Extra High maps to `xhigh`. Max deepens one agent, while
Ultra is multi-agent orchestration rather than an API `reasoning.effort` value. Codex
cloud currently does not expose model selection. Availability, UI labels, credits,
defaults, and Fast-mode behavior are volatile; read `references/evidence-notes.md`
before quoting them as current.
## Terms
- `acceptance contract`: observable acceptance criteria, required safety and
verification, and approval boundaries.
- `tier`: a vendor-defined capability class: Luna, Terra, or Sol.
- `effort`: reasoning and checking depth within one tier.
- `lane`: one `tier + effort` single-agent configuration.
- `orchestration`: the single-agent or lead/workers/verifier topology.
- `route`: lead lane, worker lanes, orchestration, and verification plan toge