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 skills add tmolavi/mcp-agent-skills-hub --skill python-pptx-generatorgit clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hubWrote 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/tmolavi/mcp-agent-skills-hub/python-pptx-generator)<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/python-pptx-generator"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/python-pptx-generator/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.
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/python-pptx-generator"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/python-pptx-generator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.00963 |
| Opus 5.5 | $0.00010 | $0.00385 |
| Sonnet 5.5 | $0.00005 | $0.00193 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
python-pptx-generator 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- python-pptx-generator — 91% identical, 16 lines differ
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python PPTX Generator
Overview
Use this skill when the user wants a ready-to-run Python script that creates a PowerPoint presentation with python-pptx.
It focuses on turning a topic brief into a complete slide deck script with real slide content, sensible structure, and a working save step.
When to Use This Skill
- Use when the user wants a Python script that generates a
.pptxfile automatically - Use when the user needs slide content drafted and encoded directly into
python-pptx - Use when the user wants a quick presentation generator for demos, classes, or internal briefings
How It Works
Step 1: Collect the Deck Brief
Ask for the topic, audience, tone, and target number of slides if the request does not already include them. If constraints are missing, pick conservative defaults and state them in the generated script comments.
Step 2: Plan the Narrative Arc
Outline the deck before writing code:
- Title slide
- Agenda or context
- Core teaching or business points
- Summary or next steps
Keep the slide count realistic for the requested audience and avoid filler slides.
Step 3: Generate the Python Script
Write a complete script that:
- imports
Presentationfrompython-pptx - creates the deck
- selects appropriate built-in layouts
- writes real titles and bullet points
- saves the file with a clear filename
- prints a success message after saving
Step 4: Keep the Output Runnable
The final answer should be a Python code block that can run after installing python-pptx.
Avoid pseudocode, placeholders, or missing imports.
Examples
Example 1: Educational Deck
User: Create a 5-slide presentation on the basics of machine learning for a high school class.
Output: A complete Python script that creates a title slide, overview, core concepts, examples, and recap.
Example 2: Business Briefing
User: Generate a 7-slide deck for sales leadership on Q2 pipeline risks and mitigation options.
Output: A python-pptx script with executive-friendly slide titles, concise bullets, and a final recommendations slide.
What ships with it
1 file 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.
- 1mo ago First seen · 112 lines · 26 tokens per session scan A 4156422fc83c
python-pptx-generator is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 963 once invoked, about $0.0001 per session on Opus 5.5. 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.
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