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 skills/fluidform-ai/fluiddocs-deck-builder/deck-importnpx skills add FluidForm-ai/fluiddocs-deck-builder --skill deck-importgit 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-import)<a href="https://agentmods.dev/skills/fluidform-ai/fluiddocs-deck-builder/deck-import"><img src="https://agentmods.dev/badge/skills/fluidform-ai/fluiddocs-deck-builder/deck-import.svg" alt="Measured on agentmods" 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 | $0.00227 | $0.15245 |
| Opus 5 | $0.00113 | $0.07623 |
| Sonnet 5 | $0.00045 | $0.03049 |
| Haiku 4.5 | $0.00023 | $0.01524 |
Grade A, and why
deck-import 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 5d 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 — 609 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deck Import (PDF or PPTX, HTML Deck, generic across 5 deck types)
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.
You are converting a PDF or PPTX deck into an interactive HTML deck, the entry point for users who already have a deck and want the upgrade (shareable link, scale-to-fit canvas, navigation shell) without a redesign.
Core principle: the user's deck is already the deck. Your job is to faithfully reproduce it in HTML, not to redesign it. Mirror the palette. Mirror the typography where possible. Preserve slide count and order. Keep their words. The "upgrade" is the delivery medium, not the content.
Two build modes, page-image is the default. The skill ships two Phase 3 implementations:
- Mode A, page-image (DEFAULT): each slide is rendered as a full-bleed background image of the source page. The HTML provides only the shell, role-meta pill on interior slides, progress bar, nav arrows, counter, scale-to-fit canvas, touch swipe. Pixel-faithful by construction, no palette drift, no typography mismatch, no source-text ghosting, no logo recreation. One-shot quality on virtually every deck. See
references/page-image-mode.md. - Mode B, reconstruction (OPT-IN): every slide is rebuilt in HTML/CSS/SVG. Editable, but risk-prone: palette guessing, source-text ghosting on photo backgrounds, content rewriting, layout drift. Use only when the user explicitly asks to be able to edit slides later, or to upgrade specific visual components. The user opts in during Phase 2 by replying "reconstruction" or "rebuild".
Default Mode A. Switch only on explicit opt-in.
This skill is generic across 5 deck types, pitch, sales, launch, keynote, all-hands. It is NOT a general document converter. PDFs or PPTX files that aren't decks (whitepapers, resumes, research papers, portfolios) should be redirected to a doc-builder skill.
Conceptually, deck-import is a type-pack-like layer in front of deck-builder + the matching deck-<type> skill (Mode B only, Mode A doesn't need the handoff skill for build, only for role-label vocabulary). Mode A adds three front-end phases (Extract, Analyze, Confirm) plus a thin Mode A shell build. Mode B adds the same front-end phases then hands off to the standard reviewer gates per references/review-adaptations.md.
If the user has not installed deck-builder or the relevant deck-<type> skill for the detected type, surface the gap early and ask them to install.
What ships with it
27 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.
- references/confirmation-block-template.md 13 KB
- references/conversion-brief-template.md 11 KB
- references/conversion-learnings.md 39 KB
- references/cover-asset-extraction.md 15 KB
- references/css-gotchas.md 46 KB
- references/demo-patterns/chat-stream.md 5.5 KB
- references/extraction-pipeline.md 13 KB
- references/image-sourcing.md 15 KB
- references/interactivity-upgrades.md 6.9 KB
- references/logo-extraction.md 9.0 KB
- references/page-image-mode.md 11 KB
- references/palette-typography-detection.md 20 KB
- references/review-adaptations.md 11 KB
- references/slide-role-classification.md 489 B
- references/spine-tables.md 13 KB
- references/timeline-patterns.md 7.5 KB
- references/visual-comparison-loop.md 10 KB
- scripts/boost_alpha.py 4.9 KB runs code
- scripts/classify_slides.py 27 KB runs code
- scripts/crop_cover_assets.py 6.4 KB runs code
- scripts/detect_palette.py 5.4 KB runs code
- scripts/extract_deck_pdf.py 9.9 KB runs code
- scripts/extract_pptx_assets.py 13 KB runs code
- scripts/extract-pptx-only.py 17 KB runs code
- scripts/parse_slide_size.py 2.3 KB runs code
- scripts/structural_check.py 7.7 KB runs code
- scripts/test_classify_types.py 5.9 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.
- 5d ago First seen · 609 lines · 227 tokens per session scan A 60a8977bd24f
deck-import is a skill published in the GitHub repository FluidForm-ai/fluiddocs-deck-builder (30 stars, last pushed 2mo ago), licensed MIT. It adds 227 tokens to every session and 15,245 once invoked, about $0.0011 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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