gpt-5-4-prompting
Internal guidance for composing Codex / GPT-5.4 prompts used by rescue and dual-review.
Skill by mrkhachaturov
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mrkhachaturov-gpt-5-4-prompting
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/gpt-5-4-prompting
What's inside
- Skill name
gpt-5-4-prompting- Description
- Internal guidance for composing Codex / GPT-5.4 prompts used by rescue and dual-review. Covers XML block structure, grounding, output contracts, verification loops. Not user-invocable.
- License
- MIT
- Instructions
- 185 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (5)
- SKILL.md
- SKILL.md.tmpl
- codex-prompt-antipatterns.md · references/
- codex-prompt-recipes.md · references/
- prompt-blocks.md · references/
SKILL.md (first lines)
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: just build --> ## Preamble (run first) ```bash # === RKstack Preamble (gpt-5-4-prompting) === # Read detection cache (written by session-start via rkstack detect) if [ -f .rkstack/settings.json ]; then cat .rkstack/settings.json else echo "WARNING: .rkstack/settings.json not found — detection cache missing" fi # Session-volatile checks (can change mid-session) _BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown") _HAS_CLAUDE_MD=$([ -f CLAUDE.md ] && echo "yes" || echo "no") echo "BRANCH: $_BRANCH" echo "CLAUDE_MD: $_HAS_CLAUDE_MD" ``` Use the detection cache and preamble output to adapt your behavior: - **TypeScript/JavaScript** — see `detection.flowType` (web or default). If web: check React/Vue/Svelte patterns, responsive design, component architecture. If default: CLI tools, MCP servers, backend scripts. - **Python** — backend/ML/scripts. Check PEP8 conventions, pytest for testing. - **Go** — backend/infra. Check error handling patterns, go test. - **Rust** — systems. Check ownership patterns, cargo test. - **Java/C#** — enterprise. Check build tool (Maven/Gradle/.NET), framework conventions. - **Ruby** — web/scripting. Check Gemfile, Rails conventions if present. - **Terraform/HCL** — infrastructure as code. Plan before apply, extra caution with state. - **Ansible** — configuration management. Check inventory, role conventions, vault usage. - **Docker/Compose** — containerized. Check service dependencies, .env patterns. - **justfile** — task runner present. Use `just` commands instead of raw shell. - **mise** — tool version manager. Versions are pinned — don't suggest global installs. - **CLAUDE.md exists** — read it for project-specific commands and conventions. - Read `detection.stack` for what's in the project and `detection.stats` for scale (files, code, complexity). - Read `detection.repoMode` for solo vs collaborative. - Read `detection.services` for Supabase and other service integrations. ## AskUserQuestion Format **ALWAYS follow this structure for every AskUserQuestion call:** 1. **Re-ground:** State the project, the current branch (use the `_BRANCH` value from preamble — NOT any branch from conversation history or gitStatus), and the current plan/task. (1-2 sentences) 2. **Simplify:** Explain the problem in plain English a smart 16-year-old could follow. No raw function names, no internal jargon, no implementation details. Use concrete examples and analogies. Say what it DOES, not what it's called. 3. **Recommend:** `RECOMMENDATION: Choose [X] because [one-line reason]` — always prefer the complete option over shortcuts (see Completeness Principle). Include `Completeness: X/10` for each option. Calibration: 10 = complete implementation (all edge cases, full coverage), 7 = covers happy path but skips some edges, 3 = shortcut that defers significant work. 4. **Options:** Lettered options: `A) ... B) ... C) ...` — when an option involves effort, show both scales: `(human: ~X / CC: ~Y)` Assume the user hasn't looked at this window in 20 minutes and doesn't have the code open. If you'd need to read the source to understand your own explanation, it's too complex. ## Completeness Principle AI makes completeness near-free. Always recommend the complete option over shortcuts — the delta is minutes with AI. A "lake" (100% coverage, all edge cases) is boilable; an "ocean" (full rewrite, multi-quarter migration) is not. Boil lakes, flag oceans. **Effort reference** — always show both scales: | Task type | Human team | CC + AI | Compression | |-----------|-----------|---------|-------------| | Boilerplate | 2 days | 15 min | ~100x | | Tests | 1 day | 15 min | ~50x | | Feature | 1 week | 30 min | ~30x | | Bug fix | 4 hours | 15 min | ~20x | Include `Completeness: X/10` for each option (10=all edge cases, 7=happy path, 3=shortcut). ## Repo Ownership `REPO_MODE` (from preamble) controls how to handle issues outside your branch: - **`solo`** — You own everything. Investigate and offer to fix proactively. - **`collaborative`** / **`unknown`** — Flag via AskUserQuestion, don't fix (may be someone else's). Always flag anything that looks wrong — one sentence, what you noticed and its impact. ## Search Before Building Before building anything unfamiliar, **search first.** - **Layer 1** (tried and true) — standard patterns, built-in to the runtime/framework. Don't reinvent. - **Layer 2** (new and popular) — blog posts, trending approaches. Scrutinize — people follow hype. - **Layer 3** (first principles) — your own reasoning about the specific problem. Prize above all. When first-principles reasoning contradicts conventional wisdom, name the insight explicitly. ## Completion Status When completing a skill workflow, report status using one of: - **DONE** — All steps completed successfully. Evidence provided for each claim. - **DONE_WITH_CONCERNS** — Completed, but with issues the user should know about. List each concern. - **BLOCKED** — Cannot proceed. State what is blocking and what was tried. - **NEEDS_CONTEXT** — Missing information required to continue. State exactly what you need. ### Escalation It is always OK to stop and say "this is too hard for me" or "I'm not confident in this result." Bad work is worse than no work. You will not be penalized for escalating. - If you have attempted a task 3 times without success, STOP and escalate. - If you are uncertain about a security-sensitive change, STOP and escalate. - If the scope of work exceeds what you can verify, STOP and escalate. Escalation format: ``` STATUS: BLOCKED | NEEDS_CONTEXT REASON: [1-2 sentences] ATTEMPTED: [what you tried] RECOMMENDATION: [what the user should do next] ``` # GPT-5.4 Prompting Use this skill when `codex-rescue` or `dual-review` needs to compose a Codex prompt for coding, review, diagnosis, or research tasks. 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.
From mrkhachaturov/rkstack, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 17, 2026 (6 months ago)
- Last release
- Apr 18, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mrkhachaturov/rkstack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Performance regression detection using the browse daemon.
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Cite this page
gpt-5-4-prompting skill. Agent Mart. https://agentmart.dev/skills/mrkhachaturov-gpt-5-4-prompting (last updated 2026-10-24)