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 pnp/copilot-prompts --skill photo-boothgit clone --depth 1 https://github.com/pnp/copilot-promptsWrote 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/pnp/copilot-prompts/photo-booth)<a href="https://agentmods.dev/skills/pnp/copilot-prompts/photo-booth"><img src="https://agentmods.dev/badge/skills/pnp/copilot-prompts/photo-booth/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/pnp/copilot-prompts/photo-booth"><img src="https://agentmods.dev/badge/skills/pnp/copilot-prompts/photo-booth.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 | $0.00033 | $0.01026 |
| Opus 5.5 | $0.00013 | $0.00410 |
| Sonnet 5.5 | $0.00007 | $0.00205 |
| Haiku 4.5 | $0.00003 | $0.00103 |
Grade A, and why
photo-booth 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 1mo 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
photo-booth
When to use this skill
- Use when the user wants a photo-booth grid, emotion grid, couple selfie grid, synchronized pose sheet, or multiple portrait variations from reference images.
- Trigger on requests for a 3x3 grid with the same subjects, room, wardrobe, framing, and lighting while expressions or micro-poses change.
Required inputs
- A primary reference image for the main person.
- An optional reference image for the partner or character.
- The desired partner concept if no partner reference is supplied.
- Any requested wardrobe, backdrop, photographic era, pose list, or mood.
If the primary reference image is missing, ask the user to attach it. Ask one focused question when the partner concept or intended style is unclear.
Continuity rules
- Preserve the primary person's visible facial structure, skin tone, distinguishing features, eye color, hair color, and other reference-grounded traits.
- Do not identify the real person or infer private attributes.
- Keep both subjects consistent in all nine panels.
- Lock the environment, curtain or backdrop, lighting direction and softness, camera distance, framing, wardrobe, accessories, material textures, and color treatment.
- Allow only facial expressions, small head movements, and couple micro-poses to change.
- Require both subjects to perform the same or mirrored gesture in each panel. For paired actions such as an embrace, require balanced and symmetrical blocking.
- Keep both faces visible. Prevent either subject, hands, clothing, or props from blocking the primary person's face.
- Do not add logos, captions, watermarks, or unrequested objects.
Default visual treatment
- Photorealistic close-up couple selfie portrait.
- Both subjects shoulder-to-shoulder at the same head height and distance from the camera.
- Soft, bright frontal window light with a mild on-camera flash feel.
- Subtle analog film grain, candid realism, natural skin texture, visible pores, and minimal retouching.
- Tasteful, fully opaque wardrobe with realistic fabric texture.
- Thin white separators between panels.
- Square overall output with nine square cells.
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.
- 1mo ago First seen · 109 lines · 33 tokens per session scan A 4a6408959de7
photo-booth is a skill published in the GitHub repository pnp/copilot-prompts (895 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 1,026 once invoked, about $0.0001 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 2026-09-12.
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