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 fanfan-de/anybox --skill canva-branded-presentationgit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/canva-branded-presentation)<a href="https://agentmods.dev/skills/fanfan-de/anybox/canva-branded-presentation"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/canva-branded-presentation/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/fanfan-de/anybox/canva-branded-presentation"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/canva-branded-presentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.00593 |
| Opus 5 | $0.00031 | $0.00296 |
| Sonnet 5 | $0.00012 | $0.00119 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
canva-branded-presentation 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 11d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canva Branded Presentation
Overview
Use this skill to turn a brief, outline, or existing Canva content into a branded presentation. Gather the source content first, choose the right brand kit, and generate presentation candidates before creating the editable deck.
Preferred Deliverables
- A clear presentation brief with title, scope, key messages, and a narrative arc.
- A slide plan with concrete titles, goals, bullets, and visual guidance.
- A new editable Canva presentation created from the user's preferred candidate.
Workflow
- Identify the content source before generating. Accept direct text, a Canva design link, or a Canva document/design name that can be found through search.
- Read the source content when it lives in Canva. Use the available Canva search and editing tools to locate the design, open it, and extract the material that should drive the deck.
- List the available brand kits. If there is only one, use it automatically. If there are multiple, ask the user to choose before generating.
- Build a strong generation prompt. Include a working title, topic, key messages, visual style, story arc, and a slide-by-slide plan.
- Generate presentation candidates in Canva and show the options to the user before creating the final design.
- Create the editable presentation from the selected candidate and return the Canva link.
Write Safety
- Keep the original source design untouched unless the user explicitly asks to modify it.
- If multiple matching source designs or brand kits appear, identify the exact one before generating.
- Preserve specific names, dates, metrics, and claims from the source content unless the user asks to change them.
- If the brief is sparse, expand it thoughtfully, but call out major assumptions that shape the narrative.
Output Conventions
- When helpful, summarize the deck direction before generation: title, audience, key message, and slide count.
- For larger decks, present a concise slide plan before or alongside candidate generation.
- When showing results, distinguish clearly between generated candidates and the final editable deck.
- Return the final Canva design link once the chosen candidate has been created.
What ships with it
3 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.
- 11d ago First seen · 51 lines · 62 tokens per session scan A 110b3ba5a50c
canva-branded-presentation is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 28d ago), licensed MIT. It adds 62 tokens to every session and 593 once invoked, about $0.0003 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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