gpt-5-4-prompting
SolidInternal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
AI & Automation 32 stars
4 forks Updated 3 weeks ago Apache-2.0
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Skill Content
# GPT-5.4 Prompting
Use this skill when `codex:codex-rescue` needs to ask Codex or another GPT-5.4-based workflow for help.
Prompt Codex like an operator, not a collaborator. Keep prompts compact and block-structured with XML tags. State the task, the output contract, the follow-through defaults, and the small set of extra constraints that matter.
Core rules:
- Prefer one clear task per Codex run. Split unrelated asks into separate runs.
- Tell Codex what done looks like. Do not assume it will infer the desired end state.
- Add explicit grounding and verification rules for any task where unsupported guesses would hurt quality.
- Prefer better prompt contracts over raising reasoning or adding long natural-language explanations.
- Use XML tags consistently so the prompt has stable internal structure.
Default prompt recipe:
- `<task>`: the concrete job and the relevant repository or failure context.
- `<structured_output_contract>` or `<compact_output_contract>`: exact shape, ordering, and brevity requirements.
- `<default_follow_through_policy>`: what Codex should do by default instead of asking routine questions.
- `<verification_loop>` or `<completeness_contract>`: required for debugging, implementation, or risky fixes.
- `<grounding_rules>` or `<citation_rules>`: required for review, research, or anything that could drift into unsupported claims.
When to add blocks:
- Coding or debugging: add `completeness_contract`, `verification_loop`, and `missing_context_gating`.
- ...
Details
- Author
- zebbern
- Repository
- zebbern/agent-collab
- Created
- 1 months ago
- Last Updated
- 3 weeks ago
- Language
- JavaScript
- License
- Apache-2.0
Integrates with
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