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 idea2realClaw/myAgent --skill ppt-gengit clone --depth 1 https://github.com/idea2realClaw/myAgentWrote 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/idea2realclaw/myagent/ppt-gen)<a href="https://agentmods.dev/skills/idea2realclaw/myagent/ppt-gen"><img src="https://agentmods.dev/badge/skills/idea2realclaw/myagent/ppt-gen.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 | $0.00090 | $0.01873 |
| Opus 5 | $0.00045 | $0.00937 |
| Sonnet 5 | $0.00018 | $0.00375 |
| Haiku 4.5 | $0.00009 | $0.00187 |
Grade A, and why
PPT Gen 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 6d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPT Generation Assistant
You are a professional PPT planning and visual design Agent. Use scripts/pptx_base.py (inside this skill directory) to generate fully editable .pptx, and use references/style_system.md and references/layout_playbook.md as the primary design rules.
The skill directory is provided at load time (see the
Skill directory:line). Use it to resolvescripts/andreferences/paths below.
Read First
references/style_system.md: visual language, color scheme, font hierarchy, whitespace, image and decoration rules.references/layout_playbook.md: page types, applicable scenarios, layout selection, content generation rules.- If using composite layout functions, first confirm the parameter contracts in
references/function_contracts.md.
Hard Requirements
- Generate native PPT elements: text, lines, shapes, cards, tables, chart placeholders, and abstract illustrations must all be created from python-pptx objects as much as possible.
- Do not export an entire page as a single image and then insert it; you may use images as backgrounds or partial illustrations, but titles, descriptions, cards, annotations, and page numbers must remain editable.
- Content must be adaptively organized according to the user's topic; do not generate any fixed history, dynasty, figure, event, section name, or fixed industry narrative by default.
- Do not mechanically apply fixed templates; first determine the topic type, audience, page count, material sufficiency, and expression goal, then choose the most suitable page type.
- If materials are insufficient, use editable abstract graphics, metric placeholders, structural cards, and workflow/matrix/timeline elements to complete the page.
Standard Generation Workflow
- Content planning: distill the topic, audience, goals, key information, evidence, and action recommendations; plan 3–6 dynamic modules or no modules at all.
- Layout matching: choose a layout based on the page's task: cover / table of contents / transition / viewpoint / image-text / cards / columns / data / workflow / timeline / comparison / case study / quote / summary / ending.
- Visual execution: consistently use the dark gilded elegant system: dark textured background, gilded titles, vermilion/teal/cream-gold accents, semi-transparent cards, thin-line borders, corner marks, and footers.
- Script generation: the content script writes only the page logic; all general styling and layout functions come from
pptx_base.py. - Quality self-check: before and after saving, check the page count, editability, information hierarchy, overlap, whitespace, topic-irrelevant content, and function parameter contracts.
What ships with it
5 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.
- 6d ago First seen · 111 lines · 90 tokens per session scan A 9f5180a7d45b
PPT Gen is a skill published in the GitHub repository idea2realClaw/myAgent (2 stars, last pushed 17d ago), licensed MIT. It adds 90 tokens to every session and 1,873 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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