Codex PptSAFE

GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other Skill-Compatible Agents

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: codex-ppt
description: Generate visually unified image-based PPT/PPTX decks from articles, reports, papers, notes, or outlines.
metadata:
  openclaw:
    requires:
      bins:
        - python3
    primaryEnv: OPENAI_API_KEY
    envVars:
      - name: OPENAI_API_KEY
        required: false
        description: API key for CLI fallback.
      - name: OPENAI_BASE_URL
        required: false
        description: API base URL.
      - name: CODEX_PPT_IMAGE_MODEL
        required: false
        description: Image model, defaults to gpt-image-2.5-flare.
      - name: CODEX_PPT_HOME
        required: false
        description: Runtime home override.
    homepage: https://github.com/ningzimu/codex-ppt-skill
---

# Codex PPT

## Overview

This skill creates image-based PowerPoint decks from source material. Each slide is a complete 16:9 generated image. Final images are assembled into `.pptx` with `scripts/assemble_ppt.py`.

Use this when the user wants a visually unified presentation and accepts full-slide image pages. Do not use it when every textbox, chart, or shape must remain separately editable.

Prefer the built-in image generation/editing tool. Use `scripts/image_gen.py` only when the built-in backend is unavailable, lacks a required capability, or the user explicitly asks for API/CLI mode.

## Hard Constraints

- Read the relevant `Reference Map` files before each phase. This file is the orchestration contract; detailed rules live in `docs/` and worker prompts in `prompts/`.
- Respect approval gates. Do not create final `deck_spec.json`, `speech.md`, prompt jobs, slide images, or `.pptx` before the approvals in `docs/workflow-gates-and-progress.md`.
- After the user approves the sample slide and authorizes full-deck generation, every remaining slide image job must be dispatched to a slide subagent whenever subagents are available.
- The main agent owns orchestration, prompt jobs, state recording, QA, speaker notes, and assembly. Do not silently replace available slide subagents with sequential production.
- Every final `origin_image/slide_XX.png` must be generated by the selected image backend: built-in image generation/editing tool or `scripts/image_gen.py`.
- Local drawing, Pillow, SVG, HTML/CSS/canvas screenshots, python-pptx/PptxGenJS layouts, and manual overlays are failure modes, not fallbacks.
- The selected image backend must stay fixed after backend confirmation. Do not let subagents switch backend for convenience.
- After sample approval, record how the approved sample was generated and pass that exact method to every slide subagent.
- Slide dispatch and result state must be recorded with the bundled scripts. Chat messages alone do not make a slide dispatched or complete.
- If a required subagent, image backend, or required-image path is unavailable, stop and report a blocker with the slide id and evidence. Do not create a lower-quality replacement.

## Visible Progress

For non-trivial decks, keep a user-visible checklist with one active step. Canonical completion evidence is in `docs/workflow-gates-and-progress.md`.

Default visible steps:

1. Prepare source, outline, style, and backend decisions.
2. Generate and approve one sample slide.
3. Prepare slide jobs and slide state.
4. Dispatch slide subagents.
5. Record generated slide results.
6. QA, repair, notes, and PPT assembly.

Do not mark a step complete from chat alone; use real files or script-recorded state.

## Default Workflow

1. Understand the source content.
   - Identify topic, audience, goal, page count, style/brand constraints, and sections to include or exclude.
   - If no page count is specified, choose a practical count. Typical decks are 8-12 slides.

2. Plan the deck outline.
   - Before writing or updating `outline.md`, read `docs/workflow-gates-and-progress.md` and `docs/outline-style-and-sample.md`.
   - Draft slide roles and required source images. Ask for confirmation, then stop before style, backend, sample, or downstream artifacts until approved.

3. Confirm a unified visual style.
   - Before offering style options or using files from `references/`, read `docs/outline-style-and-sample.md`.
   - Offer 2-3 concrete style directions, recommend one, wait for confirmation, then keep one visual identity while varying layouts by page role.

4. Confirm the image backend.
   - Before generating any slide image, read `docs/backend-selection.md`.
   - Check whether a built-in image tool is callable, state what you checked, name the backend, explain fallback status, and wait for confirmation.
   - If CLI/API fallback is selected, read `docs/cli-api-fallback.md`. Read `docs/image-model-configuration.md` only after config errors or explicit API-setting requests.

5. Generate one sample slide for approval.
   - Before generating or approving the sample slide, read `docs/outline-style-and-sample.md`.
   - Generate exactly one representative sample after outline, style, and backend are confirmed. Do not generate the full deck until approved.
   - After approval, record `sample_generation_method` in `deck_spec.json` so jobs and subagents inherit the same path.

6. Create the project directory.
   - Before initializing folders or assembling files, read `docs/project-assembly-and-reporting.md`.
   - If no destination is specified, use the current working directory or the source file directory.

7. Prepare user-supplied assets.
   - Before using paper figures, charts, screenshots, logos, or other required assets, read `docs/user-supplied-assets.md`.
   - Treat required assets as strict inputs and confirm slide-to-asset mapping before generation.

8. Generate all slide images.
   - Before full-deck image generation, read `docs/slide-generation-and-subagents.md`.
   - Create per-slide jobs with `scripts/prepare_slide_prompts.py` or saved `prompts/slide_XX.json` files.
   - Every final image must come from the selected backend and be recorded with bundled state scripts.

9. Dispatch slide subagents.
   - Before d

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

declared (3 observation(s))

Network

declared (5 observation(s))

Shell

none-observed

Dependencies

not all pinned

Secrets in source

none-found

Findings (5)

print(f"OPENAI_API_KEY={'set (' + _mask_secret(api_key) + ')' if api_key else '<unset>'}")

.clawhubignore

out_path.write_bytes(base64.b64decode(image_b64))

raw = base64.b64decode(image_b64)

python-pptx, Pillow, openai, filelock

Gates applied: no_behavioural_pass.

[![ModelsAtlas audit: Codex Ppt](https://modelsatlas.com/skills/ningzimu/codex-ppt/badge.svg)](https://modelsatlas.com/skills/ningzimu/codex-ppt/)

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