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 ai-analyst-lab/ai-analyst --skill google-slides-exportgit clone --depth 1 https://github.com/ai-analyst-lab/ai-analystWrote 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/ai-analyst-lab/ai-analyst/google-slides-export)<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/google-slides-export"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/google-slides-export/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/ai-analyst-lab/ai-analyst/google-slides-export"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/google-slides-export.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 | $0.00216 | $0.04451 |
| Opus 5.5 | $0.00086 | $0.01780 |
| Sonnet 5.5 | $0.00043 | $0.00890 |
| Haiku 4.5 | $0.00022 | $0.00445 |
Grade A, and why
google-slides-export 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.
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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Google Slides Export
Purpose
Create properly formatted Google Slides presentations via the MCP API. Prevents API errors and ensures every deck looks professional -- no text overflow, no overlapping elements, consistent brand design.
When to Apply
Automatically whenever:
mcp__google-workspace__batch_update_presentationwill be called- A Google Slides deck is being designed or built
- The
google-slides-creatororgoogle-slides-revieweragent is running
Section A: Pre-Flight Checklist
Run this checklist BEFORE building any batch_update requests. Fix all violations first.
- Object IDs >= 5 characters -- every NEW object ID you create must be 5+ chars
OK:
slide_2,hdr_bg,title_box,body_txtBAD:s2,t1,bg,p_t1(Only applies to IDs you define; existing IDs from the API can be any length) - No zero-weight outlines -- never set
outline.weight.magnitude = 0BAD:"weight": {"magnitude": 0, "unit": "PT"}-> API error OK: Omit theupdateShapePropertiesoutline block entirely (no border = default) - Slide creation uses
createSlide-- notaddSlide(not a valid request type) - Batches <= 50 requests -- split into batches of 50 and apply sequentially Each batch must complete before the next starts (do not parallelize)
-
deleteObjectonly for confirmed IDs -- only delete element IDs returned byget_pageorget_presentation; never delete IDs you invented - Text boxes are generous -- every text box that holds variable content must be
at least 3000000 EMU wide and use
autoFit: AUTO_FIT
Section B: Design System
Page Dimensions
Width: 9144000 EMU (10 inches)
Height: 5143500 EMU (5.625 inches)
1 inch = 914400 EMU
Color Palette (Default Brand)
Dark navy: {red: 0.118, green: 0.161, blue: 0.231} -- header bars, full-bg dividers
Orange: {red: 0.851, green: 0.467, blue: 0.024} -- highlights, accent callouts
Accent green: {red: 0.02, green: 0.588, blue: 0.412} -- secondary metrics
Off-white: {red: 0.969, green: 0.965, blue: 0.949} -- slide background
White: {red: 1.0, green: 1.0, blue: 1.0} -- card backgrounds, text on dark
Dark text: {red: 0.133, green: 0.133, blue: 0.133} -- body text on light backgrounds
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.
- 1mo ago First seen · 434 lines · 216 tokens per session scan A cb880243d3f8
google-slides-export is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (322 stars, last pushed 1mo ago), licensed MIT. It adds 216 tokens to every session and 4,451 once invoked, about $0.0009 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 2026-09-12.
google-slides-export compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| google-slides-exportai-analyst-lab/ai-analyst | Skill | 322 | 1mo ago | MIT | A | 216 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 68 | Claude Code |
| ppt-reviewOrkas-AI/Orkas | Skill | 9.0k | yesterday | MIT | A | 2 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |