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 evoelsewhere/evoflux --skill pptx-officialgit clone --depth 1 https://github.com/evoelsewhere/evofluxWrote 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/evoelsewhere/evoflux/pptx-official)<a href="https://agentmods.dev/skills/evoelsewhere/evoflux/pptx-official"><img src="https://agentmods.dev/badge/skills/evoelsewhere/evoflux/pptx-official/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/evoelsewhere/evoflux/pptx-official"><img src="https://agentmods.dev/badge/skills/evoelsewhere/evoflux/pptx-official.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00128 | $0.03715 |
| Opus 5.5 | $0.00051 | $0.01486 |
| Sonnet 5.5 | $0.00026 | $0.00743 |
| Haiku 4.5 | $0.00013 | $0.00371 |
Grade A, and why
pptx-official 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 — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPTX Skill
An Apache-2.0 toolkit for producing, editing, and reading Microsoft PowerPoint
(.pptx) files, written against the public
ECMA-376 / ISO/IEC 29500 (PresentationML)
specification. Libraries: python-pptx (MIT), pptxgenjs (MIT), lxml
(BSD-3-Clause), Pillow (MIT-CMU); optional external binaries soffice
(MPL 2.0) and pdftoppm (GPL).
Pipeline
Phase 0 Read the source and the workspace
Phase 1 Confirm two things <- theme and imagery, unless delegated
Phase 2 Outline with action titles <- ghost deck test; approval when it matters
Phase 2.5 Visual preview (optional) <- theme picker + slide grid via show_widget
Phase 3 Prepare assets
Phase 4 Build
Phase 5 Verify and repair <- one cheap pass; fix only what it flags
Phase 6 Hand off
Phase 0 — Read. Read the source, and look for a template, an earlier deck, or brand assets in the workspace. A template answers Phase 1 on its own.
Phase 1 — Confirm two things. Theme, and whether the deck carries
photographs. Everything else — slide count (around 10, never fewer than 8),
16:9, language, fonts, file name — is a default you take and state. Ask both
in one ask_user call. Ask nothing at all when the user delegated the whole
job, when the run is non-interactive, or when a template already decides it.
interview.md has the defaults, the delegation rule, and how
to phrase the two questions; themes.md has the themes to offer.
Decide the mode rather than asking it. Argument-first for papers, studies, results, board and policy material: argument, then data, then layout, then aesthetics, on a light ground with one accent and no decorative imagery. Visual-first for launches, keynotes, and brand work. When both fit, choose argument-first.
Phase 2 — Outline, then the ghost deck test. One line per slide: its action title — a full sentence stating that slide's takeaway, not a topic label — plus its evidence and visual form. Then read only the action titles in order. They must tell the complete argument alone; if they do not, fix the outline, because no visual work will rescue it.
What ships with it
23 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.
- create-pptxgenjs.md 16 KB
- create-python.md 15 KB
- edit-template.md 10 KB
- edit-xml.md 8.2 KB
- images.md 6.4 KB
- interview.md 4.4 KB
- LICENSE 1.4 KB
- pptxgenjs-math.md 2.4 KB
- preview.md 13 KB
- read.md 11 KB
- scripts/assemble.py 2.9 KB runs code
- scripts/contact_sheet.py 5.5 KB runs code
- scripts/deck_live.py 17 KB runs code
- scripts/diagnose.py 4.4 KB runs code
- scripts/dump_text.py 13 KB runs code
- scripts/explode.py 3.4 KB runs code
- scripts/insert_slide.py 10.0 KB runs code
- scripts/prune.py 13 KB runs code
- scripts/render_pdf.py 1.2 KB runs code
- scripts/render_slides.py 2.2 KB runs code
- scripts/soffice_bridge.py 10 KB runs code
- setup.md 3.4 KB
- themes.md 9.8 KB
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 Changed · -9 lines 726140d1baf5
- 1mo ago Changed · -235 lines · +18 tokens per session 9fd20b9d32bf
- 1mo ago Changed · +9 lines a757b9f22805
- 1mo ago First seen · 491 lines · 110 tokens per session scan A 3ff4d72f5694
pptx-official is a skill published in the GitHub repository evoelsewhere/evoflux (11 stars, last pushed 6d ago), licensed Apache-2.0. It adds 128 tokens to every session and 3,715 once invoked, about $0.0005 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 2026-09-06.
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