Proma is a local-first AI desktop application that combines multi-model chat, general-purpose agents, workspaces, skills, MCP servers, remote bots, and shared memory. People use it as a workspace for personal workflows, letting agents handle files, browser tasks, long-running jobs, and collaborative subtasks while storing sessions and configuration locally.
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 proma-ai/Proma --skill guizang-ppt-skillgit clone --depth 1 https://github.com/proma-ai/PromaWrote 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/proma-ai/proma/guizang-ppt-skill)<a href="https://agentmods.dev/skills/proma-ai/proma/guizang-ppt-skill"><img src="https://agentmods.dev/badge/skills/proma-ai/proma/guizang-ppt-skill/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/proma-ai/proma/guizang-ppt-skill"><img src="https://agentmods.dev/badge/skills/proma-ai/proma/guizang-ppt-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00161 | $0.10228 |
| Opus 5.5 | $0.00064 | $0.04091 |
| Sonnet 5.5 | $0.00032 | $0.02046 |
| Haiku 4.5 | $0.00016 | $0.01023 |
Grade A, and why
guizang-ppt-skill 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 2mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
16 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.
- assets/motion.min.js 63 KB runs code
- assets/template-swiss.html 99 KB
- assets/template.html 38 KB
- LICENSE 1.0 KB
- README.en.md 11 KB
- README.md 11 KB
- references/checklist.md 28 KB
- references/components.md 15 KB
- references/image-prompts.md 12 KB
- references/layouts-swiss.md 50 KB
- references/layouts.md 28 KB
- references/swiss-layout-lock.md 5.8 KB
- references/swiss-map-component.md 13 KB
- references/themes-swiss.md 5.5 KB
- references/themes.md 3.5 KB
- scripts/validate-swiss-deck.mjs 4.8 KB runs code
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.
- 2mo ago First seen · 492 lines · 161 tokens per session scan A 9fc83b3a8b9e
guizang-ppt-skill is a skill published in the GitHub repository proma-ai/Proma (2,234 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 161 tokens to every session and 10,228 once invoked, about $0.0006 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.
Other skills, from other repositories
pptx
Create and validate Microsoft PowerPoint presentations (.pptx), including structured slide decks, tables, workflows, metadata, and reproducible generation scripts. Use for presentation, slides, PowerPoint, PPT, or PPTX creation and verification tasks.
ai-tutor
Use when user asks to explain, break down, or help understand technical concepts (AI, ML, or other technical topics). Makes complex ideas accessible through plain English and narrative structure. Use the provided scripts to transcribe videos.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
api-documentation-generator
Generate OpenAPI/Swagger specifications and API documentation from code or design. Use when creating API docs, generating OpenAPI specs, or documenting REST APIs.
component-patterns
Implement React component patterns including composition, custom hooks, render props, HOCs, and compound components. Use when building reusable React components, implementing design patterns, or refactoring component architecture.
state-management-advisor
Choose and implement React state management solutions including Context, Zustand, Redux Toolkit, TanStack Query, and Jotai. Use when selecting state management, implementing global state, or managing server state in React applications.