presenton

presenton is a skill for Claude Code, Codex from besoeasy/open-skills. It costs 56 tokens per session (2,009 once invoked), scanned A, original, MIT.

A locally run tool that creates slide presentations from text prompts or uploaded documents. It can export the result as a PowerPoint file or PDF and can use an AI service or a local Ollama installation.

In plain words
What is it for?
Use it to create presentations, convert reports or prompts into slides, export PPTX or PDF files, or generate slides through its MCP server.
Why use it?
It turns written material into a structured slideshow without requiring a separate online presentation service. Running it locally keeps the presentation workflow on the user’s device, subject to the required setup.

Skill for Claude CodeCodex

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

Good fit Use it to create presentations, convert reports or prompts into slides, export PPTX or PDF files, or generate slides through its MCP server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/besoeasy/open-skills/presenton
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 besoeasy/open-skills --skill presenton
Clone the repo
git clone --depth 1 https://github.com/besoeasy/open-skills

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 presenton

README.md
[![agentmods](https://agentmods.dev/badge/skills/besoeasy/open-skills/presenton/github.svg)](https://agentmods.dev/skills/besoeasy/open-skills/presenton)
Your own site
<a href="https://agentmods.dev/skills/besoeasy/open-skills/presenton"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/presenton/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 presenton

Your own site · 80×15
<a href="https://agentmods.dev/skills/besoeasy/open-skills/presenton"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/presenton.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,009 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 28
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 34
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 40
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium Data Exfiltration · line 58
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 68
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Agent Snooping · line 214
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00056 $0.02009
Opus 5 $0.00028 $0.01005
Sonnet 5 $0.00011 $0.00402
Haiku 4.5 $0.00006 $0.00201

Measured 9d ago against content hash 39cec3c313eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

presenton scanned grade A with 1 finding 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 9d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsS --max-time 60 \
skills/presenton/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Presenton — AI Presentation Generator

Presenton is an open-source, locally-run AI presentation generator. It creates professional slideshows from text prompts or uploaded documents, exports to PPTX and PDF, and exposes a built-in MCP server so agents can generate presentations programmatically.

When to use

  • Use case 1: When the user asks to generate a presentation or slideshow on any topic
  • Use case 2: When you need to convert a document, report, or prompt into structured slides
  • Use case 3: When the user wants to export a presentation as PPTX or PDF
  • Use case 4: When building agent workflows that produce presentation outputs via MCP
  • Use case 5: When the user wants AI-generated presentations that run entirely on their own device

Required tools / APIs

  • Docker (recommended) or Node.js LTS + Python 3.11 + uv for local dev
  • One of: OpenAI API key, Google Gemini API key, Anthropic API key, or a local Ollama instance
  • Optional image providers: DALL-E 3, Gemini Flash, Pexels, Pixabay, or ComfyUI

Install options:

# Docker (Linux/macOS) — recommended
docker run -it --name presenton \
  -p 5000:80 \
  -v "./app_data:/app_data" \
  ghcr.io/presenton/presenton:latest

# Docker (Windows PowerShell)
docker run -it --name presenton `
  -p 5000:80 `
  -v "${PWD}\app_data:/app_data" `
  ghcr.io/presenton/presenton:latest

# With OpenAI + DALL-E 3 (no UI key entry needed)
docker run -it --name presenton \
  -p 5000:80 \
  -e LLM="openai" \
  -e OPENAI_API_KEY="<your-key>" \
  -e IMAGE_PROVIDER="dall-e-3" \
  -e CAN_CHANGE_KEYS="false" \
  -v "./app_data:/app_data" \
  ghcr.io/presenton/presenton:latest

Skills

generate_presentation_via_api

Generate a presentation by sending a prompt to the Presenton REST API.

# Start Presenton first (see install above), then call the API
curl -fsS --max-time 60 \
  -X POST "http://localhost:5000/api/v1/ppt/generate" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Introduction to Quantum Computing", "n_slides": 8}'

# The response includes a presentation ID; download PPTX with:
PPTX_PATH=$(curl -s "http://localhost:5000/api/v1/ppt/generate" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Introduction to Quantum Computing", "n_slides": 8}' \
  | jq -r '.pptx_url')
curl -s "http://localhost:5000${PPTX_PATH}" -o presentation.pptx

Read the full file on GitHub · 215 lines

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. 9d ago First seen · 215 lines · 56 tokens per session scan A 39cec3c313eb

Subscribe to this mod's changes

presenton is a skill published in the GitHub repository besoeasy/open-skills (132 stars, last pushed 5d ago), licensed MIT. It adds 56 tokens to every session and 2,009 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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