bggg-creator-image2ppt

bggg-creator-image2ppt is a skill for Codex from binggandata/bggg-skills. It costs 179 tokens per session (2,064 once invoked), scanned A, original, MIT.

A skill that turns flat images, screenshots, slide images, HTML, or SVG designs into editable PowerPoint files. Editable text becomes PowerPoint text, while complex visual parts can remain image components.

In plain words
What is it for?
It is for converting posters, presentation screenshots, web designs, charts, and other visual layouts into layered, reusable PowerPoint slides.
Why use it?
It removes the need to rebuild a slide manually when the starting point is only a picture or design file. It also records the slide structure and checks that the resulting PPTX opens correctly.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: mentions Codex.

Good fit It is for converting posters, presentation screenshots, web designs, charts, and other visual layouts into layered, reusable PowerPoint slides.

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Install with agentmods
npx agentmods add skills/binggandata/bggg-skills/bggg-creator-image2ppt
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add binggandata/bggg-skills --skill bggg-creator-image2ppt
Clone the repo
git clone --depth 1 https://github.com/binggandata/bggg-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bggg-creator-image2ppt

README.md
[![agentmods](https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-creator-image2ppt/github.svg)](https://agentmods.dev/skills/binggandata/bggg-skills/bggg-creator-image2ppt)
Your own site
<a href="https://agentmods.dev/skills/binggandata/bggg-skills/bggg-creator-image2ppt"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-creator-image2ppt/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bggg-creator-image2ppt

Your own site · 80×15
<a href="https://agentmods.dev/skills/binggandata/bggg-skills/bggg-creator-image2ppt"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-creator-image2ppt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,064 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00179 $0.02064
Opus 5 $0.00089 $0.01032
Sonnet 5 $0.00036 $0.00413
Haiku 4.5 $0.00018 $0.00206

Measured 12d ago against content hash 3baf34eec691, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bggg-creator-image2ppt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/html_svg_to_manifest.py, scripts/image2pptx.py, scripts/init_project.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

bggg-creator-image2ppt/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BGGG Creator Image2PPT

用这个 skill 把平面视觉稿转换成可编辑的 .pptx。核心设计是“先形成结构化 manifest,再由脚本生成 PPTX”。

  • 二进制图片输入:Codex 负责识别版式、文字和组件;默认调用 imagegen skill 生成或清理背景、装饰、产品、图表等组件图片;文本尽量还原为 PowerPoint 文本框。
  • HTML/SVG 输入:优先把代码结构解析为原生 PPT 元素;复杂节点再降级为图片组件。
  • 所有中间图片、manifest、诊断和输出都必须放在本 skill 的 projects/YYYYMMDD_slug/ 目录里。

Codex 默认策略

在 Codex 中处理 PNG/JPEG/WebP 等二进制图片时,默认执行这个顺序:

  1. 使用 Codex 视觉能力观察源图,列出幻灯片尺寸、背景、标题、正文、图标、照片、图表、装饰、阴影、遮罩等对象。
  2. 对于可编辑文字,直接写入 manifest 的 text 元素,不要把文字只做成图片。
  3. 对于背景、照片、图标、复杂插画、图表、纹理、遮挡后需要补全的背景,使用 imagegen skill 生成、清理或重建独立组件图片。
  4. imagegen 生成的图片复制到当前项目目录的 imagegen_assets/component_images/,不要让项目依赖 $CODEX_HOME 的临时输出。
  5. manifest.json,用 scripts/image2pptx.py build 生成 PPTX。
  6. 验证 PPTX 能被 python-pptx 重新打开,并记录图层/文本/图片数量和已知限制。

如果用户明确要求“不重绘”“保持原图像素”,可以用原图裁切或全画布透明 PNG 作为组件图片;但默认仍要用 Codex imagegen 能力辅助背景清理、缺失区域补全和组件干净化。

项目目录约定

每次转换都创建独立项目目录:

bggg-creator-image2ppt/
└── projects/
    └── YYYYMMDD_slug/
        ├── original_inputs/
        ├── component_images/
        ├── imagegen_assets/
        ├── diagnostics/
        ├── manifest.json
        ├── output.pptx
        ├── summary.json
        └── process_notes.md

初始化:

python3 bggg-creator-image2ppt/scripts/init_project.py pitch_deck \
  --source /path/to/reference.png \
  --date 20260504

二进制图片转 PPTX 工作流

  1. 初始化项目,把源图复制到 original_inputs/

  2. 识别页面结构:

    • 画布比例和大致尺寸。
    • 背景是纯色、渐变、照片还是复杂插画。
    • 每段文字的内容、位置、字号、颜色、粗细、对齐方式。
    • 组件图片的边界、层级和是否需要透明背景。
  3. 默认用 imagegen 生成或编辑组件:

    • 背景:完整画布、无文字、无前景组件。
    • 照片/产品/人物/图标/复杂装饰:干净边缘,必要时透明背景。
    • 图表:能原生重建就用形状和文本;复杂图表可先做成图片组件。
  4. 把组件图片放入 component_images/imagegen_assets/

  5. 写 manifest,元素按从底到顶排序。

  6. 运行:

    python3 bggg-creator-image2ppt/scripts/image2pptx.py build \
      --manifest bggg-creator-image2ppt/projects/YYYYMMDD_slug/manifest.json \
      --output bggg-creator-image2ppt/projects/YYYYMMDD_slug/output.pptx \
      --summary bggg-creator-image2ppt/projects/YYYYMMDD_slug/summary.json
    

Read the full file on GitHub · 178 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 178 lines · 179 tokens per session scan A 3baf34eec691

Subscribe to this mod's changes

bggg-creator-image2ppt is a skill published in the GitHub repository binggandata/bggg-skills (594 stars, last pushed 1mo ago), licensed MIT. It adds 179 tokens to every session and 2,064 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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