skill-103

skill-103 is a skill for Claude Code, Codex from legendtkl/agentic-skill-router. It costs 34 tokens per session (364 once invoked), scanned A, original, MIT.

A JavaScript skill for generating PowerPoint presentations with slides, text, images, and tables from program code.

In plain words
What is it for?
Use it to build and save PPTX files, add formatted text and images, and create presentation slides from JavaScript.
Why use it?
It helps create presentations automatically when slide content comes from data or needs to be produced repeatedly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build and save PPTX files, add formatted text and images, and create presentation slides from JavaScript.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legendtkl/agentic-skill-router/skill-103
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 legendtkl/agentic-skill-router --skill skill-103
Clone the repo
git clone --depth 1 https://github.com/legendtkl/agentic-skill-router

Made for: Claude Code, 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 skill-103

README.md
[![agentmods](https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-103/github.svg)](https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-103)
Your own site
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-103"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-103/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 skill-103

Your own site · 80×15
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-103"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-103.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 364 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.
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 $0.00034 $0.00364
Opus 5 $0.00017 $0.00182
Sonnet 5 $0.00007 $0.00073
Haiku 4.5 $0.00003 $0.00036

Measured 6d ago against content hash 6be1e234577c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

skill-103 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.

experiments/dci-compare/skillrouter-skills/skill-103/SKILL.md · 44 lines

What it actually says

PPTX Slide Generator

Overview

The PPTX Slide Generator skill enables users to programmatically create PowerPoint presentations using JavaScript. This is useful for generating dynamic presentations automatically based on input data.

Workflow Decision Tree

Creating a New Presentation

Use the "Creating a new PPTX presentation" workflow below.

Creating a New PPTX Presentation

To create a new PowerPoint presentation, you will use the PptxGenJS library, which allows for flexible creation of slides, text, images, and tables.

Sample Code

Here’s a simple example of how to create a PPTX presentation:

// Import the pptxgenjs library
const PptxGenJS = require('pptxgenjs');

// Create a new presentation
let pptx = new PptxGenJS();

// Add a slide
let slide = pptx.addSlide();

// Add text to the slide
slide.addText('Hello World!', { x: 1, y: 1, fontSize: 18, color: '363636' });

// Add an image to the slide
slide.addImage({ path: 'path-to-image.png', x: 1, y: 2, w: 5, h: 2 });

// Save the presentation
pptx.writeFile({ fileName: 'Presentation.pptx' });

Conclusion

The PPTX Slide Generator skill provides a straightforward way to automate the creation of PowerPoint presentations using JavaScript, making it easier to produce professional presentations quickly.

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. 6d ago First seen · 44 lines · 34 tokens per session scan A 6be1e234577c

Subscribe to this mod's changes

skill-103 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 364 once invoked, about $0.0002 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.

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