Borrowing it
Nothing to install: this file belongs to florafauna-ai/flora-mcp-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/florafauna-ai/flora-mcp-skills/main/.agents/skills/flora-mockup-deck/SKILL.mdgit clone --depth 1 https://github.com/florafauna-ai/flora-mcp-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/florafauna-ai/flora-mcp-skills/flora-mockup-deck)<a href="https://agentmods.dev/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck"><img src="https://agentmods.dev/badge/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck/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/florafauna-ai/flora-mcp-skills/flora-mockup-deck"><img src="https://agentmods.dev/badge/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00211 | $0.13347 |
| Opus 5 | $0.00105 | $0.06674 |
| Sonnet 5 | $0.00042 | $0.02669 |
| Haiku 4.5 | $0.00021 | $0.01335 |
Grade A, and why
flora-mockup-deck scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
builds on its own with no curl step. Pass --remote to reference the urls instead: the html How it starts
The opening of the file, as written. The whole thing — 1,109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
flora-mockup-deck
Attribution. Pass
skill: "flora-mockup-deck"on every FLORA call you make while running this skill —executeincluded — along with askill_run_idyou invent once when the run starts and reuse for the rest of it. Both are reporting only: they change nothing about the call or its result.
What it is
Not an image generator. A placement engine. By the time the placements fire, the creative is finished and frozen — the only job is putting it into the world convincingly, four ways, without altering it.
Usually the creative arrives finished. It can also be written: a line of text buys one generation, and that output becomes the master creative, from which point it is handled exactly like a supplied file. See "Two ways in".
The thing that makes a mockup fail is never the photograph. It is the artwork drifting: recoloured, recropped, re-lettered, a word dropped. So the whole skill is built around one invariant.
Two ways in
ARTWORK a url or an attached file -> 4 generations
WRITTEN a line of text, no artwork -> 5 generations (master + 4 placements)
/flora-mockup-deck followed by a description and nothing attached is the WRITTEN path:
create a campaign deck of a flower, a poster for a late-night ramen bar, out-of-home
for a running shoe launch. Nothing else about the skill changes. The text buys exactly
one image, that image becomes the master creative, and the law closes over it.
Making the master
One flora_generate, text-to-image, same model family as the placements:
model "t2i-gpt-image-2-t2i"
params { aspect_ratio, resolution: "4k", quality: "high" }
Prompt it as a printed poster, not as a photograph of a thing. The text names a subject, and a subject is not an ad — "a flower" un-elaborated returns a stock botanical photograph, which then gets pasted onto a gable end and reads as a picture of a flower on a wall rather than as a campaign. Build the master prompt as:
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.
- 8d ago Changed · +319 lines ea3a22ebad1a
- 12d ago First seen · 790 lines · 211 tokens per session scan A 613e061f3a37
flora-mockup-deck is a skill published in the GitHub repository florafauna-ai/flora-mcp-skills (8 stars, last pushed today), licensed MIT. It adds 211 tokens to every session and 13,347 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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