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 PicsArt/gen-ai-skills --skill photo-slideshowgit clone --depth 1 https://github.com/PicsArt/gen-ai-skillsWrote 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/picsart/gen-ai-skills/photo-slideshow)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/photo-slideshow"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/photo-slideshow/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/picsart/gen-ai-skills/photo-slideshow"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/photo-slideshow.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 | $0.00100 | $0.03622 |
| Opus 5.5 | $0.00040 | $0.01449 |
| Sonnet 5.5 | $0.00020 | $0.00724 |
| Haiku 4.5 | $0.00010 | $0.00362 |
Grade A, and why
photo-slideshow 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 today.
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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Photo promo / slideshow
Assumes the font asset from picsart_scene_fonts (a live.fonts entry), and that picsart_scene_patch returns the patched scene you pass to the next tool.
The most common scene job: N photos, one after another, a transition at each seam, a title. Every value below was validated and rendered at 1080x1920; the whole scene is in the worked example.
Related recipes: picsart_scene_recipe scene-video-edits owns the track, transition-window and
blur_fill detail; picsart_scene_recipe motion-intent chooses durations and easing.
1. Probe the photos
Call picsart_media_probe on every photo URL before authoring. Declare its width and height on the
asset. Those numbers decide which fit each photo gets (section 3), and they let blur_fill skip
its fill on a photo whose aspect already matches the composition.
"p2": { "type": "image", "uri": "https://…/507090463024201.jpg", "width": 2494, "height": 2560 }
Compare each photo's aspect (w/h) with the composition's (1080/1920 = 0.5625). cover crops
the difference away: 2296x4080 (0.563) loses nothing visible, and a 2:3 portrait such as
2308x3462 (0.667) loses 16% of its width. A square or landscape photo such as 2494x2560 (0.974)
would lose 42% of its width, so it gets a blurred fill instead.
2. A track of clips with transitions
One track layer holds the photos as clips, back to back. Each seam that should not be a hard
cut gets one transitions[] entry keyed by between, the index of the gap (0 = between clips 0
and 1):
{ "id": "reel", "start": 0, "duration": 12, "content": { "kind": "track",
"clips": [
{ "id": "c1", "duration": 3, "content": { "kind": "media", "assetId": "p1", "fit": "cover" } },
{ "id": "c2", "duration": 3, "content": { "kind": "media", "assetId": "p2" },
"looks": [{ "look": "blur_fill", "params": { "blur": 8, "resFactor": 10, "dim": 0.25 } }] },
{ "id": "c3", "duration": 3, "content": { "kind": "media", "assetId": "p3", "fit": "cover" } },
{ "id": "c4", "duration": 3, "content": { "kind": "media", "assetId": "p4", "fit": "cover" } }
],
"transitions": [
{ "between": 0, "id": "crossfade", "duration": 0.6 },
{ "between": 1, "id": "slide", "duration": 0.6, "params": { "direction": "left" } },
{ "between": 2, "id": "crossfade", "duration": 0.6 }
] } }
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.
- today First seen · 202 lines · 100 tokens per session scan A e45da8f17b7a
photo-slideshow is a skill published in the GitHub repository PicsArt/gen-ai-skills (6 stars, last pushed today), licensed MIT. It adds 100 tokens to every session and 3,622 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-28.
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