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/apricot-ritual)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/apricot-ritual"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/apricot-ritual/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/apricot-ritual"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/apricot-ritual.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 | $0.00191 | $0.04316 |
| Opus 5 | $0.00096 | $0.02158 |
| Sonnet 5 | $0.00038 | $0.00863 |
| Haiku 4.5 | $0.00019 | $0.00432 |
Grade A, and why
apricot-ritual-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 — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apricot Ritual Index PPTX Skill
A reusable fixed-style PowerPoint generation skill. It builds on the pptx skill's technical capabilities while locking in the Apricot Ritual Index visual identity: calm, editorial, typographic, premium, sparse — like a refined product introduction combined with a typographic brand-poster system.
Core principle — style fidelity over content volume. When the user's topic contains more information than the poster format can hold, compress and reinterpret. The deck must feel calm, premium, and intentional — not a generic report template, not a text-heavy catalog, not a business slide deck. Every slide is an editorial poster plate.
Step 1: Gather Inputs (Ask First — Max 3 Questions)
Do not start generating immediately. Use the AskUserQuestion tool to present all questions in a single call. Only ask about what the user hasn't already provided.
Question 1 — Topic (skip if already provided):
- header: "Topic"
- question: "What is the presentation topic or title?"
- options: 2–3 relevant examples plus allow Other
Question 2 — Slide count (skip if already specified):
- header: "Slides"
- question: "How many slides should the deck include? (9 recommended)"
- options:
6 slides,9 slides (Recommended),12 slides,15 slides
Question 3 — Visual assets:
- header: "Images"
- question: "How should visual assets be provided?"
- options:
Use uploaded images— Insert images I provideGenerate with gpt-image-2— AI creates warm apricot editorial imageryCombine both— Mix uploaded and AI-generated images
Infer the audience, narrative structure, section labels, and supporting details from the topic and available context. Do not ask additional questions unless essential information is missing and the presentation cannot be completed without it.
Once you have the three answers, proceed directly to generation.
Step 2: Translate the Topic into Apricot Ritual Index Language
Before writing any slide copy, translate the user's topic into the Apricot Ritual Index frame. The visual language originates in premium product introductions and ritual sequences, but it works for any subject — every topic can be reinterpreted as principles, components, stages, layers, chapters, rituals, index entries, sequences, or key objects/concepts.
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 · 348 lines · 191 tokens per session scan A dc42869d1426
apricot-ritual-pptx is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (139 stars, last pushed 9d ago), licensed MIT. It adds 191 tokens to every session and 4,316 once invoked, about $0.0010 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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