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 bytonylee/future-slide --skill gpt-image-slidegit clone --depth 1 https://github.com/bytonylee/future-slideWrote 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/bytonylee/future-slide/gpt-image-slide)<a href="https://agentmods.dev/skills/bytonylee/future-slide/gpt-image-slide"><img src="https://agentmods.dev/badge/skills/bytonylee/future-slide/gpt-image-slide/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/bytonylee/future-slide/gpt-image-slide"><img src="https://agentmods.dev/badge/skills/bytonylee/future-slide/gpt-image-slide.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 | $0.00052 | $0.00382 |
| Opus 5 | $0.00026 | $0.00191 |
| Sonnet 5 | $0.00010 | $0.00076 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
gpt-image-slide 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 10d 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.
What it actually says
GPT Image Slide Workflow
Use this skill when the user asks for the full GPT-image slide workflow, for example:
$gpt-image-slide- "create slide images from this reference slide and report"
- "make a deck with GPT image generation"
- "run the full future-slide image workflow"
This is the orchestrator. If the user asks for only one step, use the matching step skill instead:
$slide-designforDESIGN.md$gpt-image-slide-planforslide_plan.json$gpt-image-slide-promptforslide_prompts.json$gpt-image-slide-renderfor finalpage_<n>.pngimages
Required Sequence
Run these stages in order:
- Extract
DESIGN.mdfrom the reference slide image or visual reference. - Build
slide_plan.jsonfromDESIGN.md, user files, and the deck request. - Build
slide_prompts.jsonfromDESIGN.mdandslide_plan.json. - Render page images sequentially with Codex native image generation.
Do not skip ahead. Do not render before the prompt JSON exists.
Output Contract
The full workflow should leave these files in the workspace:
DESIGN.mdslide_plan.jsonslide_prompts.jsonpage_1.pngthroughpage_N.png
Routing Rule
If the user mentions HTML, browser-rendered slides, editable web slides, or export from HTML, use the html-slide skill family instead.
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.
- 10d ago First seen · 45 lines · 52 tokens per session scan A ff6b7bfb06ba
gpt-image-slide is a skill published in the GitHub repository bytonylee/future-slide (146 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 382 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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