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 besoeasy/open-skills --skill presentongit clone --depth 1 https://github.com/besoeasy/open-skillsWrote 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/besoeasy/open-skills/presenton)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00056 | $0.02009 |
| Opus 5 | $0.00028 | $0.01005 |
| Sonnet 5 | $0.00011 | $0.00402 |
| Haiku 4.5 | $0.00006 | $0.00201 |
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 \ 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
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.
- 9d ago First seen · 215 lines · 56 tokens per session scan A 39cec3c313eb
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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