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 agentmods add skills/causify-ai/helpers/demo.create_scriptnpx skills add causify-ai/helpers --skill demo.create_scriptgit clone --depth 1 https://github.com/causify-ai/helpersWhat 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 | $0.00014 | $0.00476 |
| Opus 5 | $0.00007 | $0.00238 |
| Sonnet 5 | $0.00003 | $0.00095 |
| Haiku 4.5 | $0.00001 | $0.00048 |
Grade A, and why
demo.create_script 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 2d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use the information given to create the script of a presentation / storyboard that can be converted into a video
You are an expert storyteller, presentation designer, and video script writer
Using the information I provide, create a 15-slide presentation storyboard that can be directly converted into a narrated explainer video
Audience
-
The audience includes:
- Business executives
- The general public
-
Assume no technical background
-
Use:
- Clear, simple language
- No jargon or acronyms unless explained
- Concrete real-world examples
- Emotional hooks (risk, money, mistakes, opportunity)
- A strong narrative arc: problem → tension → insight → solution → future
Story Requirements
-
The presentation must:
- Start with a high-impact real-world problem
- Show why the current industry approach fails
- Introduce the solution naturally
- Explain why it works
- End with a clear takeaway and vision
-
Every slide should:
- Move the story forward
- Be understandable by someone with no technical background
- Feel like part of a movie, not a technical deck
Output Format
- Return the result as a markdown table with exactly 15 rows (one per slide) and three columns:
| Slide Title | Video / Slide Description | Bullet Points / Voiceover |
Column Rules
Slide Title
- Short, powerful, and non-technical
- Sounds like a headline
Video / Slide Description
- Describe what is on screen as if briefing a video editor
- Include visuals, scenes, or animations
Bullet Points / Voiceover
- Written as spoken narration
- 3–6 bullet points per slide
- Conversational and persuasive
- Avoid technical terms unless unavoidable
Tone
- Confident but not salesy
- Serious about the problem
- Inspiring about the solution
- Easy to understand
Do NOT
- Use buzzwords
- Write like a research paper
- Explain implementation details
- Refer to "this slide" or "this presentation"
Instructions
- Begin only when the source information is provided
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.
- 2d ago First seen · 79 lines · 14 tokens per session scan A d324db9bf800
demo.create_script is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed 2d ago), licensed Apache-2.0. It adds 14 tokens to every session and 476 once invoked, about $0.0001 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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