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Use when verifying outcomes with code instead of LLM judgment, versioning prompts with hashes, or ensuring reproducible agent behavior. Load for any critical verification. Scripts return boolean exit codes, not subjective assessments. Prompts use semantic versioning with SHA256 validation.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Create premium Accenture-branded PowerPoint presentations following Tufte data visualization principles and Dieter Rams design philosophy. Use when creating slides, presentations, or decks for Accenture corporate settings that require (1) Accenture brand identity (purple A100FF chevron logo clean layouts) (2) Minimal data-focused design (Tufte less but better) (3) Executive-ready aesthetics for boardroom presentations client pitches or internal reports
Route proposed additions to the global Codex control plane by deciding whether a request belongs in `~/.codex/AGENTS.md`, a global workflow or reference doc under `~/.codex/docs`, `~/.codex/bin/workflow.py`, or an enforceable non-prose surface. Use when asked to "add this to global AGENTS", "promote this workflow to global", "add a new global trigger", or decide whether something should be a trigger, workflow, reference, hook, lint rule, or runtime guard.
Add, remove, serve, test, and operate a server-backed in-page agent feedback capability for HTML artifacts, static pages, or local app builds. Use when the user wants Browser-style annotation inside the artifact/app itself, marker-local chat, comment-triggered agent work, queued marker processing, deterministic install/remove scripts, preflight/closeout checks, browser acceptance evidence, or progressive-disclosure access to marker context.
Audits any agent harness codebase against 13 meta-principles of quality, scores each 0 to 10 with code citations, generates a self-contained HTML report for operators, and writes an agent-readable AGENTS.md improvement directive with file-level architecture recommendations to reach 9.5 or better. Use when the user wants to audit or rate an agent harness, evaluate harness quality, score an agent framework, get a roadmap for improving a harness, run agentharness-audit, audit this harness, rate Hermes, audit Codex, or audit a Claude Code harness. Not for individual skill audits or general code review.
Use when controlling ChatGPT Atlas through Codex Computer Use, especially browser tasks where context efficiency matters: fewer screenshots, fewer UI snapshots, fewer clicks, and cleaner browser state.
Audit project against golden principles, produce scorecard. Use for /audit, "check project quality". NOT for system setup health (/harness-audit) or eval scoring (/eval-score).
| name | determinism |
| description | Use when verifying outcomes with code instead of LLM judgment, versioning prompts with hashes, or ensuring reproducible agent behavior. Load for any critical verification. Scripts return boolean exit codes, not subjective assessments. Prompts use semantic versioning with SHA256 validation. |
Reproducible outcomes through code verification and prompt versioning.
"Claude can run scripts without loading either the script or the PDF into context. And because code is deterministic, this workflow is consistent and repeatable." - Anthropic Engineering
scripts/validate-prompt.sh| Task | LLM (Bad) | Code (Good) |
|---|---|---|
| Tests passed? | "The tests appear to pass" | pytest; echo $? → 0 or 1 |
| Valid JSON? | "This looks like valid JSON" | python -c "json.load(f)" |
| Server running? | "The server should be up" | curl -s localhost/health |
| File | Load When |
|---|---|
| references/code-verification.md | Writing verification scripts |
| references/prompt-versioning.md | Versioning/hashing prompts |