Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/happycapy-ai/happycapy-skills/olive-rose)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/olive-rose"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/olive-rose/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/happycapy-ai/happycapy-skills/olive-rose"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/olive-rose.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 | $0.00145 | $0.03632 |
| Opus 5 | $0.00072 | $0.01816 |
| Sonnet 5 | $0.00029 | $0.00726 |
| Haiku 4.5 | $0.00015 | $0.00363 |
Grade A, and why
olive-rose-pptx 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 12d 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Olive Rose Salon PPTX Skill
A reusable fixed-style PowerPoint generation skill. It builds on the pptx skill's technical capabilities while locking in the Olive Rose Salon visual identity: high-fashion, poster-led, exhibition-grade.
Core principle — style wins over content volume. When the user's topic contains more information than the poster format can hold, compress and reinterpret. Do not expand the deck into dense explanations. The user's subject is preserved, but expressed through sparse, editorial, exhibition-like language. Every deck must feel like a sequence of art exhibition posters — not a report, not an explainer, not a generic slide deck. The topic is the subject of an exhibition. The slides are the posters.
Step 1: Gather Inputs (Ask First — Max 3 Questions)
Do not start generating immediately. Use the AskUserQuestion tool to present interactive questions. Ask all missing questions in a single AskUserQuestion call (up to 3 questions at once).
Only ask questions the user hasn't already answered in their prompt. If the topic is already clear from their message, skip question 1 and only ask what's still missing.
Question 1 — Topic (skip if already provided):
- header: "Topic"
- question: "What is the presentation topic, exhibition title, project title, or brand/product name?"
- options: provide 2–3 example options relevant to context, plus allow Other
Question 2 — Slide count (skip if already specified):
- header: "Slides"
- question: "How many slides should the deck include?"
- options:
6 slides,8 slides (Recommended),10 slides,12 slides
Question 3 — Images:
- header: "Images"
- question: "How should images be handled?"
- options:
Generate with AI— I'll create botanical abstract illustrations using gpt-image-2Use my uploaded images— Insert images I provideCombine both— Mix uploaded and AI-generated images
If the user hasn't provided audience, date, venue, speakers, or other details, infer or use neutral placeholder copy — do not keep asking. Only follow up if the missing info makes it literally impossible to build the deck.
What ships with it
1 file 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.
- 12d ago First seen · 305 lines · 145 tokens per session scan A 031438f40443
olive-rose-pptx is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (139 stars, last pushed 9d ago), licensed MIT. It adds 145 tokens to every session and 3,632 once invoked, about $0.0007 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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