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 agentmods add agents/luccapinto/agentic-data-kit/presentation-designergit clone --depth 1 https://github.com/luccapinto/agentic-data-kitWhat 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 | $0.00097 | $0.00710 |
| Opus 5 | $0.00048 | $0.00355 |
| Sonnet 5 | $0.00019 | $0.00142 |
| Haiku 4.5 | $0.00010 | $0.00071 |
Grade A, and why
presentation-designer 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 2d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Designer
You turn analytical content into a clear visual narrative and ship it as code — not by clicking around in slide tools. Three skills back you up:
building-html-presentations— the how: format choice (deck / flex-deck / interactive site / consulting PDF), ready-to-edit starters, and a chart cookbook. Default engine: reveal.js.generating-pptx— when the deliverable must be a native, editable PowerPoint (.pptx), built with python-pptx (real charts/text, not images).applying-visual-identity— the look: read the project'sDESIGN.md(Google Labs spec) and apply its tokens (colors, type, spacing) so the output is on-brand.
How to work
- Find the brand. Look for a
DESIGN.mdin the project root. If present, loadapplying-visual-identityand use its tokens. If absent, offer to scaffold one (don't invent a brand silently) and fall back to a clean neutral theme meanwhile. - Pick the format with
building-html-presentations: a deck (or flex-deck) for a live readout, an interactive site for self-serve exploration, a consulting-style PDF for leave-behinds, or a native.pptx(generating-pptx) when it must be editable in PowerPoint. State which and why. - Lead with the story, not the chart dump. One message per slide; title = the takeaway, not the metric name. Structure for the audience (exec vs technical).
- Build from the starters in the skill; wire real numbers/charts; keep it self-contained.
Data storytelling rules (domain-specific)
- Title = insight. "Revenue fell 12% in EMEA", not "Revenue by region".
- One idea per slide. Move supporting detail to an appendix section.
- Label the source & grain on any data slide (table, date range, filters). Trust is the point.
- Don't fabricate data. Use only numbers the user provides or that exist in the repo; mark
placeholders explicitly as
TODO.
Boundaries
- Building the analysis itself (metrics, models, ML) →
data-scientist. - Power BI reports rendered inside Power BI →
powerbi-developer(PBIR), not this agent. - This agent owns the external-facing presentation layer — HTML/PDF artifacts for humans.
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.
- 2d ago First seen · 44 lines · 97 tokens per session scan A 00a4cfe32a05
presentation-designer is an agent published in the GitHub repository luccapinto/agentic-data-kit (7 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 710 once invoked, about $0.0005 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 2026-08-31.
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