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 wedabro/bro-skills --skill imagegen-frontend-webgit clone --depth 1 https://github.com/wedabro/bro-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/wedabro/bro-skills/imagegen-frontend-web)<a href="https://agentmods.dev/skills/wedabro/bro-skills/imagegen-frontend-web"><img src="https://agentmods.dev/badge/skills/wedabro/bro-skills/imagegen-frontend-web/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/wedabro/bro-skills/imagegen-frontend-web"><img src="https://agentmods.dev/badge/skills/wedabro/bro-skills/imagegen-frontend-web.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 | $0.00067 | $0.00568 |
| Opus 5.5 | $0.00027 | $0.00227 |
| Sonnet 5.5 | $0.00013 | $0.00114 |
| Haiku 4.5 | $0.00007 | $0.00057 |
Grade A, and why
imagegen-frontend-web 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Web Image Direction
Create a coherent set of implementation-ready website section images, not a compressed mood board.
Output contract
- Generate one separate horizontal image for every requested section.
- Never combine multiple sections into one tall board or tiny overview.
- Keep one palette, typography system, material language, and narrative spine across the set.
- Make each image large enough to inspect and recreate accurately.
- Generate fresh section images; do not crop earlier outputs to simulate missing views.
- Return images only. Do not write code.
Workflow
- Infer audience, conversion goal, section list, brand constraints, and required visual tone.
- Define a compact design bible: palette, type character, imagery, surfaces, grid, CTA language, and recurring motif.
- Assign each section a distinct composition and purpose before generating.
- Generate sections individually in narrative order while carrying the same design bible forward.
- Check legibility, realistic content density, CTA clarity, cross-section consistency, and composition variety.
Composition rules
- Keep the hero clean and readable; match headline scale to copy length and leave the main CTA visible.
- Vary composition anchors: centered, split, off-grid, full-bleed, product-led, editorial, or data-led as the story requires.
- Do not repeat left-text/right-image layouts throughout the page.
- Use real visual hierarchy instead of filling every section with cards, badges, pills, or KPI tiles.
- Avoid generic AI-purple gradients, empty glass panels, fake dashboards, placeholder copy, and decorative noise.
- Use background imagery, texture, typography, and negative space intentionally; not every section needs a container.
- Keep all visible text short, plausible, and comfortably readable at the output resolution.
Detailed reference
Read only the relevant section of references/full-guide.md:
- Variation system and composition choices: search
COMBINATORIAL VARIATION ENGINE. - Hero constraints: search
HERO MINIMALISM RULES. - Section counting and sizing: search
IMAGE COUNT & PAGE SLICING. - Anti-slop, type, density, and material rules: search the corresponding heading.
- Standard page packs or examples: search
DEFAULT SITE PACKSorEXAMPLE INTERPRETATIONS.
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.
- 1mo ago First seen · 48 lines · 67 tokens per session scan A 9d931147ec60
imagegen-frontend-web is a skill published in the GitHub repository wedabro/bro-skills (3 stars, last pushed 15d ago), licensed MIT. It adds 67 tokens to every session and 568 once invoked, about $0.0003 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 2026-08-31.
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