NB-Corp/gpt-with-taste
Better judgment. Better taste. Less ceremony. System instructions and source-aware steering for GPT in Codex.
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README & documentation
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English · 简体中文 A drop-in behavioral recipe across coding harnesses: make ordinary decisions, digest complexity, and deliver work with engineering and visual craft. Built for the GPT reasoning family, especially GPT-6.1 Sol and GPT-6 Astra. Replies follow the language you write in. Harnesses · Install Codex · What changes · Comparison · How it works · Research GPT with Taste compiles from a single behavioral recipe into native instructions and event steering for each supported host: Running in another host? See docs/harnesses/porting.md. Maintainers edit the single English authoring source in recipe/ and compile across targets: see docs/authoring.md. With Node.js 22 or newer installed: We recommend Hooks for multi-turn work in Codex Desktop: user submissions, child startup and supported wait results receive scoped reminders. Later child-input coverage depends on the client entry point. For a prompt-only installation, run node scripts/install.mjs instead. Neither route needs npm packages. Both routes install into the…
Read the full README ↗ · Preview checked 2026-10-31T18:58:29.027Z
Inside the original README — Document outline
- Harnesses
- Install · Codex
- What changes
- Comparison · From installation logs to a first task
- How it works
- Research
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What this repository does
Better judgment. Better taste. Less ceremony. System instructions and source-aware steering for GPT in Codex.
Repository facts
- Owner
- NB-Corp
- Primary language
- JavaScript
- Stars
- 395
- Forks
- 21
- Open issues + pull requests
- 1
- License
- Other
- Archived
- No
- Default branch
- master
- Created
- 2026-10-12T16:40:29.000Z
- Last push
- 2026-10-17T06:43:11.000Z
Topics and intended use
Owner-supplied topics: ai-agents, codex, gpt, prompt-engineering, system-prompt
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Source and freshness
Source: GitHub. Metadata observed 2026-10-19T12:10:32.749Z. Daily imports are snapshots, not real-time monitoring.
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