Orkas is a desktop application for commanding a team of AI agents through one chat, with a commander model assigning work to specialist agents in parallel or in sequence. People use it to coordinate research, writing, presentations, and software tasks while keeping files on their computer. The catalogue includes skills for extending the agents available to Orkas.
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 Orkas-AI/Orkas --skill ppt-craftgit clone --depth 1 https://github.com/Orkas-AI/OrkasWrote 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/orkas-ai/orkas/ppt-craft)<a href="https://agentmods.dev/skills/orkas-ai/orkas/ppt-craft"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/ppt-craft/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/orkas-ai/orkas/ppt-craft"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/ppt-craft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00003 | $0.03052 |
| Opus 5 | $0.00002 | $0.01526 |
| Sonnet 5 | $0.00001 | $0.00610 |
| Haiku 4.5 | $0.00000 | $0.00305 |
Grade A, and why
ppt-craft 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPT Craft
Read this skill only when an actual PPTX will be created or changed. Read the shared office-ppt Skill before the first PPTX tool call.
Execute the visual source
Honor the resolved visual source before choosing slide geometry:
autonomous: treat the planner's audience- and content-derived visual DNA as a complete design source. No reference file is required, and the result must still use purposeful backgrounds, visual hierarchy, media/data treatments, and content-led composition rather than falling back to plain title-and-bullets pages.text-direction: construct from the interpreted visual DNA without claiming an exact match to an external brand or designer.reference-image: use the declared palette behavior, canvas, type character, geometry, image treatment, and motifs. Do not copy the image's exact composition or reuse the pixels unlessreference_asset_reuse: allowed.reference-deckwithinspiration: inspect the source deck, then rebuild the relevant design language with supported native objects. Map each output slide to a reference role or visual-DNA trait, not necessarily to an exact source page.reference-deckwithtemplate-source: inspect the source withoffice_readand current renders before mutation. When the requested result can be expressed through supported edits, use the authorized PPTX as the source for one separate working copy, preserve its masters/layouts/theme, and fill or adapt identified elements. Do not overlay a parallel default design. If strict template fidelity requires unsupported master/layout or duplication operations, report that boundary rather than silently switching to a vibe-matched rebuild.existing-deck: follow the source-preserving edit path below.
Before reference-led construction, make the inspection evidence explicit:
- inspiration deck: structurally inspect every source slide, then render enough source slides to cover opening, section, data, close, and every recurring layout family before locking the extracted visual DNA;
- strict template: structurally inspect and render every source slide before mapping each requested output role to an inherited source pattern.
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.
- 10d ago First seen · 132 lines · 3 tokens per session scan A be8e930d43bc
ppt-craft is a skill published in the GitHub repository Orkas-AI/Orkas (1,848 stars, last pushed yesterday), licensed MIT. It adds 3 tokens to every session and 3,052 once invoked, about $0.0000 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 2026-08-30.
Other skills, from other repositories
sn-ppt-entry
Entry point for PPT generation. Asks the user to choose a mode (fast, standard, or creative), then collects role / audience / scene / pagecount as needed. For standard mode, also asks how images should be sourced (AI generation, web search, or none), whether charts should use AI-generated infographics or ECharts, and…
sn-ppt-creative
Creative-mode PPT pipeline. One full-page 16:9 PNG per slide. LLM / VLM calls go through sn-ppt-standard/lib/modelclient.py (shared thin client). Text-to-image (the actual png rendering) goes through sn-image-base/scripts/snagentrunner.py. Falls back to web image search when T2I generation fails. Expects taskpack.json…
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks.
slides
How to build presentation slide decks as HTML pages. Covers the slide format, canvas dimensions, and recommended libraries.
video-script-generator
Generates video scripts with hooks, structured sections, pacing, and call-to-actions optimized for engagement and retention.
infographic-builder
Turns textual content into structured infographic formats suitable for reports, presentations, and educational materials.