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 lorena-bordonaba-pau/product-studio --skill product-photographygit clone --depth 1 https://github.com/lorena-bordonaba-pau/product-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/lorena-bordonaba-pau/product-studio/product-photography)<a href="https://agentmods.dev/skills/lorena-bordonaba-pau/product-studio/product-photography"><img src="https://agentmods.dev/badge/skills/lorena-bordonaba-pau/product-studio/product-photography/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/lorena-bordonaba-pau/product-studio/product-photography"><img src="https://agentmods.dev/badge/skills/lorena-bordonaba-pau/product-studio/product-photography.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 | $0.00121 | $0.02286 |
| Opus 5 | $0.00060 | $0.01143 |
| Sonnet 5 | $0.00024 | $0.00457 |
| Haiku 4.5 | $0.00012 | $0.00229 |
Grade A, and why
product-photography 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Photography Studio
Skill for generating professional AI product photography and video of any product. The user provides real photos of their product (even low-quality ones) or a store URL, and the skill produces professional images and simple videos that are always faithful to the real product.
Always reply to the user in their own language — the language of these instructions does not define the conversation language.
The non-negotiable principle: total product fidelity
This skill exists to sell REAL products. A beautiful image of a product that doesn't exist is worse than useless: it misleads the customer and causes returns. Therefore:
- Never invent anything about the product. If the original photo doesn't show the sole of the shoe, don't describe it in the prompt or let the model imagine it as a prominent detail.
- Don't elaborate on what is unclear. A blurry logo, a doubtful seam, illegible text: they do NOT go into the prompt and, where possible, stay out of frame or away from focal areas.
- Emphasize what IS visible. Exact colors, shape, materials, visible finishes: that is what the prompt must pin down precisely.
- Verify before delivering. Every generated image is compared with the original product attribute by attribute. If it isn't identical, it gets corrected. Never silently deliver something that doesn't match.
Per-user configuration
Before generating anything, read ~/.claude/product-studio/config.json. If it doesn't exist, tell the user to run /product-setup first (or walk them through configuration right then).
{
"provider": "higgsfield | fal | custom",
"fal_api_key": "only if provider = fal",
"custom": { "description": "...", "notes": "..." }
}
The details of how to call each provider are in references/providers.md — read it before the first generation of the session.
Local learnings
The file ~/.claude/product-studio/learnings.md accumulates the corrections that have worked in the past (what tends to fail and how to fix it).
What ships with it
5 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 · 140 lines · 121 tokens per session scan A a1bef1449cc2
product-photography is a skill published in the GitHub repository lorena-bordonaba-pau/product-studio (6 stars, last pushed 2mo ago), licensed MIT. It adds 121 tokens to every session and 2,286 once invoked, about $0.0006 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.