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/signal-green)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/signal-green"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/signal-green/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/signal-green"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/signal-green.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 | $0.04086 |
| Opus 5 | $0.00096 | $0.02043 |
| Sonnet 5 | $0.00038 | $0.00817 |
| Haiku 4.5 | $0.00019 | $0.00409 |
Grade A, and why
signal-green-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.
Signal Green Atlas PPTX Skill
A reusable fixed-style PowerPoint generation skill. It builds on the pptx skill's technical capabilities while locking in the Signal Green Atlas visual identity: bold, avant-garde, editorial — a fluorescent-green guidebook system with strict typographic grids, sharp rectangular image windows, black-and-white photography, and deliberate asymmetric composition.
Core principle — style fidelity over content volume. The atlas visual language originates in European editorial guides and experimental cartography, but it is a design system, not a fixed travel subject. Translate any topic into this visual language without forcing it to become a travel itinerary. The deck must feel bold, sharp, fluorescent, and editorial — never a soft brochure, text-heavy report, or generic corporate presentation.
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 black-and-white editorial imageryCombine both— Mix uploaded and AI-generated assets
Infer the audience, narrative structure, sections, labels, and supporting metadata from the user's topic. Do not ask additional questions unless essential information is missing and the presentation cannot be completed without it.
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 f42e6d6b96c2
signal-green-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 4,086 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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