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.
npx agentmods add skills/nexus-research-lab/nexus/pptxnpx skills add nexus-research-lab/nexus --skill pptxgit clone --depth 1 https://github.com/nexus-research-lab/nexusWrote 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.
[](https://agentmods.dev/skills/nexus-research-lab/nexus/pptx)<a href="https://agentmods.dev/skills/nexus-research-lab/nexus/pptx"><img src="https://agentmods.dev/badge/skills/nexus-research-lab/nexus/pptx.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.01012 |
| Opus 5 | $0.00048 | $0.00506 |
| Sonnet 5 | $0.00019 | $0.00202 |
| Haiku 4.5 | $0.00010 | $0.00101 |
Grade A, and why
pptx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
PowerPoint 演示文稿
| 任务 | 路径 |
|---|---|
| 读取、总结、问答 | 运行自带读取脚本；视觉信息再看逐页预览 |
| 新建演示文稿 | 用 python-pptx 生成可编辑 PPTX |
| 编辑现有演示文稿或套模板 | 先检查全部页面和模板结构，再局部修改 |
| 复杂母版、动画、SmartArt、媒体 | 优先保留现有 OOXML；只做已验证的定点修改 |
旧版 .ppt |
用 LibreOffice 转为 .pptx，保留原件 |
工作契约
- 只读问题不重新保存或导出演示文稿。
- 写操作默认另存新文件，不覆盖源稿或模板。
- 用户提供的模板是视觉和结构权威；不要擅自换母版、主题、字体或配色。
- 先直接使用当前环境。
import pptx失败且任务需要写文件时，取得用户同意后在隔离环境安装${CLAUDE_SKILL_DIR}/requirements.txt，不要静默修改系统 Python。
读取
python3 "${CLAUDE_SKILL_DIR}/scripts/read_presentation.py" "<input.pptx>"
python3 "${CLAUDE_SKILL_DIR}/scripts/read_presentation.py" "<input.pptx>" --output "<new-output.md>"
脚本按演示顺序提取正文、表格和演讲者备注。图表、图片、SmartArt、构图和只含图片的页面仍要 查看渲染结果；未提取到文字不等于页面为空。
创建与编辑
在 workspace 或临时目录写一个可重复运行的短 Python 脚本，再用 python-pptx 输出文件。
- 新建前确定受众、场景和主结论；信息足够时自行选择页数和叙事，不为装饰性偏好阻塞任务。
- 有模板时复用其母版、版式和占位符；编辑局部元素，不在每页重造共同结构。
- 每页表达一个清晰结论。内容过多时先精简或换布局，不靠缩小字号硬塞。
- 编辑现有文本时修改目标 run；给
text_frame.text整体赋值会清除段落和字符格式。 - 图表尽量保持 PowerPoint 原生可编辑；图片保持纵横比并检查裁切，详细说明放演讲者备注。
python-pptx不能安全保留的动画、SmartArt、媒体或特殊母版结构，不得静默重建或丢弃。
完成条件
- 用读取脚本回读最终文件，确认页序、正文、表格和备注完整，并搜索残留占位文字。
- 用 LibreOffice 转成 PDF，再用
pdftoppm渲染全部页面：
soffice --headless --convert-to pdf --outdir "<empty-qa-dir>" "<output.pptx>"
pdftoppm -png -r 144 "<empty-qa-dir>/<output.pdf>" "<empty-qa-dir>/slide"
- 逐页检查标题换行、文字溢出、裁切、重叠、对齐、对比度、图表标签、页脚和图片清晰度。
- 缺少 LibreOffice 或 Poppler 时可以继续内容读取；写任务要说明未完成视觉检查。
- 最终只交付 PPTX，不附带构建脚本、提取文本和预览图片。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 73 lines · 95 tokens per session scan A 87ac12390972
pptx is a skill published in the GitHub repository nexus-research-lab/nexus (143 stars, last pushed today), licensed Apache-2.0. It adds 95 tokens to every session and 1,012 once invoked, about $0.0005 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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