spec-driven-presentation-maker

spec-driven-presentation-maker is a skill for Claude Code, Codex from aws-samples/sample-spec-driven-presentation-maker. It costs 27 tokens per session (490 once invoked), scanned A, original, MIT-0.

A tool that creates PowerPoint presentations from JSON, a structured text format for describing content and settings.

In plain words
What is it for?
Use it to create slides, proposals, and other presentation materials from JSON data.
Why use it?
It removes the need to build every slide manually when the presentation content already exists in a structured form.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to create slides, proposals, and other presentation materials from JSON data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws-samples/sample-spec-driven-presentation-maker/sdpm
About the project

Spec-Driven Presentation Maker is an open-source toolkit that uses written specifications to define a presentation’s message and structure before AI creates its slides. It supports creating, editing, translating, and styling presentation decks through guided workflows, with catalogue add-ons providing related agent capabilities.

aws-samples/sample-spec-driven-presentation-maker · 131 stars · on GitHub

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 aws-samples/sample-spec-driven-presentation-maker --skill sdpm
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-spec-driven-presentation-maker

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 spec-driven-presentation-maker

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws-samples/sample-spec-driven-presentation-maker/sdpm/github.svg)](https://agentmods.dev/skills/aws-samples/sample-spec-driven-presentation-maker/sdpm)
Your own site
<a href="https://agentmods.dev/skills/aws-samples/sample-spec-driven-presentation-maker/sdpm"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-spec-driven-presentation-maker/sdpm/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 spec-driven-presentation-maker

Your own site · 80×15
<a href="https://agentmods.dev/skills/aws-samples/sample-spec-driven-presentation-maker/sdpm"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-spec-driven-presentation-maker/sdpm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 490 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 unknown 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 $0.00027 $0.00490
Opus 5.5 $0.00011 $0.00196
Sonnet 5.5 $0.00005 $0.00098
Haiku 4.5 $0.00003 $0.00049

Measured 1mo ago against content hash 0d1bc57e0606, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

spec-driven-presentation-maker 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.

The scan reads SKILL.md. This mod also ships 18 executable files (scripts/download_aws_icons.py, scripts/download_material_icons.py, scripts/layout_qa.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.

sdpm/SKILL.md · 49 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

60 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.

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. 1mo ago Changed · +2 lines 0d1bc57e0606
  2. 1mo ago Changed 44d63a612ab7
  3. 1mo ago Changed ad3654d312ee
  4. 1mo ago First seen · 47 lines · 27 tokens per session scan A 144452d5bdf2

Subscribe to this mod's changes

spec-driven-presentation-maker is a skill published in the GitHub repository aws-samples/sample-spec-driven-presentation-maker (131 stars, last pushed 2d ago), licensed MIT-0. It adds 27 tokens to every session and 490 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 2026-08-30.

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