Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/PicsArt/gen-ai-skillsnpx agentmods add skills/picsart/gen-ai-skills/prosumer-headshot-studioWrote 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/prosumer-headshot-studio)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/prosumer-headshot-studio"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/prosumer-headshot-studio/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/prosumer-headshot-studio"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/prosumer-headshot-studio.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 | $0.00018 | $0.02323 |
| Opus 5 | $0.00009 | $0.01162 |
| Sonnet 5 | $0.00004 | $0.00465 |
| Haiku 4.5 | $0.00002 | $0.00232 |
Grade A, and why
prosumer-headshot-studio 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 12d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Headshot studio
Input: one casual phone selfie. Output: a set of professional-grade headshots at platform-correct ratios — LinkedIn polished, ID / passport, editorial / creator portrait, casual founder shot — with the same face across every variant. The bar is "plausibly a real photoshoot" not "obvious AI filter".
When to Use
- Solo creator, founder, or job-seeker needs a LinkedIn / speaker bio / About page headshot and doesn't want a photographer
- User has one usable selfie (well-lit enough, face clearly visible) and wants 3-5 polished variants
- They say "headshot", "LinkedIn photo", "professional profile pic", "polish this selfie", "make this a pro photo", "editorial portrait"
- They need the same face across multiple styles (not just one image)
Don't use for: group photos, full-body fashion shoots (different model family), or character consistency across video clips (use gen-ai-use with a generated reference).
Prerequisites
Ask before running (combine into one message):
- Source selfie — path or URL. Must be frontal, eyes visible, decent lighting. If the source is blurry or dark, recommend re-shooting before generation.
- Styles wanted — which variants? Default set is LinkedIn / editorial / casual / ID. Offer mix-and-match.
- Wardrobe direction — should the model wear the same outfit as the source, a suggested one ("dark blazer", "neutral knit"), or let the model pick per style?
- Aesthetic lean — warm / cool, editorial-magazine / corporate-safe / creative-tech?
- Background — neutral studio, office, outdoor, plain color, blurred environment?
- Aspect ratios needed — 1:1 for LinkedIn/ID, 4:5 for editorial, 9:16 for reels / stories?
How to Run
1. INTERVIEW → confirm source, styles, wardrobe, ratios
2. ENHANCE SOURCE → upscale the selfie for better identity lock
3. GENERATE → i2i per style, face reference locked
4. REVIEW → verify face consistency; check hands, eyes, ears
5. REGENERATE → one-at-a-time for misses
6. DELIVER → per-platform folder with correct ratios
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.
- 12d ago First seen · 172 lines · 18 tokens per session scan A 71f705a6caaa
prosumer-headshot-studio is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 14d ago), licensed MIT. It adds 18 tokens to every session and 2,323 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 2026-08-31.
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