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/diillson/chatcli/presentationsnpx skills add diillson/chatcli --skill presentationsgit clone --depth 1 https://github.com/diillson/chatcliWrote 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/diillson/chatcli/presentations)<a href="https://agentmods.dev/skills/diillson/chatcli/presentations"><img src="https://agentmods.dev/badge/skills/diillson/chatcli/presentations.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 | $0.00071 | $0.00486 |
| Opus 5 | $0.00036 | $0.00243 |
| Sonnet 5 | $0.00014 | $0.00097 |
| Haiku 4.5 | $0.00007 | $0.00049 |
Grade A, and why
presentations 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 yesterday.
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
Presentations / Slides
Local, keyless deck building. Pick the path by what's installed and what the user wants.
Path A — Markdown → slides (Marp, recommended)
Author plain markdown with --- slide breaks, then render:
marp deck.md -o deck.pdf # or --pptx, --html
Detect/install: command -v marp / npm i -g @marp-team/marp-cli.
Example deck.md:
---
marp: true
theme: default
---
# Title
Subtitle
---
## Agenda
- Point one
- Point two
Path B — Programmatic PPTX (python-pptx)
For data-driven decks (charts, tables, generated slides), write a Python script:
pip install python-pptx
from pptx import Presentation
p = Presentation()
s = p.slides.add_slide(p.slide_layouts[0])
s.shapes.title.text = "Quarterly Review"
p.save("deck.pptx")
Path C — Convert / export (LibreOffice headless)
soffice --headless --convert-to pdf deck.pptx
soffice --headless --convert-to pptx deck.md
Detect: command -v soffice libreoffice. Works on Windows/macOS/Linux.
Rules
- Decide content first (outline → slides); keep ~1 idea per slide, short bullets.
- Report the output file path and slide count.
- For brand themes, ask for/reuse a template (
.pptxtemplate or Marp theme CSS).
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.
- yesterday First seen · 70 lines · 71 tokens per session scan A f8379bd5906d
presentations is a skill published in the GitHub repository diillson/chatcli (89 stars, last pushed today), licensed Apache-2.0. It adds 71 tokens to every session and 486 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
pptx
从论文、大纲或结构化文本生成 PowerPoint (.pptx) 演示文稿。Use when 用户需要把一篇论文/文章/大纲做成幻灯片、slides、演示文稿、PPT、deck。Don't use when 只需纯文本总结、生成 Word/PDF、或修改已有 pptx 的单个像素级样式。.
export
Export VeritasReason graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.
当用户需要对PDF文件进行任何操作时，请使用此技能。包括从 PDF 中读取或提取文本/表格、合并多个 PDF、拆分 PDF、旋转页面、添加水印、创建新PDF、填写PDF表单、加密/解密 PDF、提取图片，以及对扫描版 PDF 进行 OCR 使其可搜索。如果用户提到 .pdf 文件或要求生成 PDF，请使用此技能。.
hive.pdf
Read, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf). Use when the user asks to extract text/tables/images from a PDF, create or modify a PDF, combine or split PDFs, OCR a scanned PDF…
pdf-toolkit
Structured .pdf operations: extract text/tables, merge pages from multiple PDFs, split a PDF by page ranges, fill PDF form fields, and generate fresh PDFs from JSON. Trigger when the user wants programmatic PDF work without natural-language rewriting — examples: pull tables from a report, combine three PDFs, extract…
ppt-analysis
PPT (.pptx/.ppt) 全量解析。覆盖：所有 slide 文本/表格/图表提取、嵌入图片 caption、纯图片 slide 渲染识别、数据标签提取。.