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 FluidForm-ai/fluiddocs-deck-builder --skill deck-keynotegit clone --depth 1 https://github.com/FluidForm-ai/fluiddocs-deck-builderWrote 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/fluidform-ai/fluiddocs-deck-builder/deck-keynote)<a href="https://agentmods.dev/skills/fluidform-ai/fluiddocs-deck-builder/deck-keynote"><img src="https://agentmods.dev/badge/skills/fluidform-ai/fluiddocs-deck-builder/deck-keynote/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/fluidform-ai/fluiddocs-deck-builder/deck-keynote"><img src="https://agentmods.dev/badge/skills/fluidform-ai/fluiddocs-deck-builder/deck-keynote.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 | $0.00111 | $0.01699 |
| Opus 5 | $0.00056 | $0.00849 |
| Sonnet 5 | $0.00022 | $0.00340 |
| Haiku 4.5 | $0.00011 | $0.00170 |
Grade A, and why
deck-keynote 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 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.
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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deck Keynote, a type pack for the deck-builder core
Keep your process invisible. Do not narrate the skill architecture (the "type pack" and "core" split) or announce which files you are reading. Skip preambles like "I'll start by reading...". Gather what you need, then build the deck.
This skill builds conference keynotes, TED-style talks, and speaker-centric presentations. It is a thin type pack that inherits the full pipeline from the deck-builder core skill. Read deck-builder/SKILL.md first for the 5-phase pipeline, 3-reviewer gate, fixed-canvas shell, brand-tokens methodology, and learnings log. This file only declares what's keynote-specific.
What's type-specific (defined in this pack)
References in references/:
content-spine.md, the canonical 28-slide keynote spine (flexible 20-35 range)visual-components.md, per-slide visual pattern catalog, emphasizing imagery and large-type designdemo-patterns.md, optional interactive demo recipes suited to live talks (kept as a visual reference; most keynotes ship without a demo slot)
Declarations the brief locks in for keynote builds:
deck_type: keynoteTarget slide count: 28 (flexible 20-35)Catalog directory ($CATALOG): user-specified output directoryForbidden class-name leaks: (empty)- Demo: optional (off by default)
- Density mode: live-presentation by default; ask the user whether the deck is for a live talk (sparse, image-led, 45s/slide pacing) or for async reading (denser text, self-explanatory slides)
Phase 1 intake (keynote-specific batched questions)
When the trigger fires, the agent runs Phase 1 from deck-builder/SKILL.md. In addition to the generic intake, ask these keynote-specific questions in a single batched message:
- Talk length: how many minutes is the speaking slot? (Drives slide count: ~45 seconds per slide.)
- Density mode: is this deck for a live presentation (sparse, image-led, speaker carries the words) or for async reading (denser text, the slides explain themselves without a speaker)? This drives type sizes, text-per-slide, and whether speaker notes are inline or hidden.
- Thesis in one sentence: the single idea every slide must support.
- Demo: does the talk include a live interactive demo moment? (Default: no.)
- Speaker brand tokens: any existing speaker site, talk page, or brand kit to mirror?
What ships with it
3 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.
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 · 109 lines · 111 tokens per session scan A d546a38bf205
deck-keynote is a skill published in the GitHub repository FluidForm-ai/fluiddocs-deck-builder (30 stars, last pushed 3mo ago), licensed MIT. It adds 111 tokens to every session and 1,699 once invoked, about $0.0006 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.
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