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/Sateezg/codex-bridgenpx agentmods add skills/sateezg/codex-bridge/asset-setWrote 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/sateezg/codex-bridge/asset-set)<a href="https://agentmods.dev/skills/sateezg/codex-bridge/asset-set"><img src="https://agentmods.dev/badge/skills/sateezg/codex-bridge/asset-set/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/sateezg/codex-bridge/asset-set"><img src="https://agentmods.dev/badge/skills/sateezg/codex-bridge/asset-set.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 | $0.00085 | $0.01090 |
| Opus 5.5 | $0.00034 | $0.00436 |
| Sonnet 5.5 | $0.00017 | $0.00218 |
| Haiku 4.5 | $0.00009 | $0.00109 |
Grade A, and why
asset-set 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate a consistent asset set
Individual images are the generate-image skill. This is for families of assets
that must look like they came from the same designer — which requires a shared
style contract, correct sizes, and correct filenames.
Step 1 — lock the style contract
Before generating anything, write one style sentence you will paste verbatim into every prompt in the set. It must pin down: art style, palette (hex codes), stroke weight, corner treatment, background, and perspective. For example:
Flat vector, 2px uniform stroke, palette #2563EB on #FFFFFF with #94A3B8 accents, 4px rounded corners, centered, generous padding, no gradients, no shadows, front-on view.
Pull the palette from the project when one exists — check tailwind.config.*,
CSS custom properties, a design tokens file, or an existing logo. Ask the user only
if nothing is discoverable.
Step 2 — generate
One call per asset, style sentence repeated in each:
codex-imagegen "<subject>. <style contract>" <path>.png --size <WxH>
Generate the most important asset first (the logo mark or the hero), show it to the user, and only continue once they're happy. Regenerating a whole set after the fact wastes their quota.
For assets that must match one already generated, pass it as a reference so the model has the style in front of it, not just described:
codex-imagegen "a settings gear icon, same style as the reference" ./icons/settings.png --ref ./icons/home.png
Step 3 — derive the size variants locally
Do not regenerate for each size. Generate one large master and resample it with
ImageMagick (or sips on macOS) — it's instant, free, and pixel-consistent:
magick master.png -resize 512x512 icon-512.png
magick master.png -define icon:auto-resize=16,32,48,64 favicon.ico
Standard recipes
Web favicon set — master at 1024x1024, then derive favicon.ico (16/32/48),
favicon-32x32.png, apple-touch-icon.png (180x180), icon-192.png, icon-512.png.
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 · 93 lines · 85 tokens per session scan A 9844f12cf7ca
asset-set is a skill published in the GitHub repository Sateezg/codex-bridge (247 stars, last pushed 2mo ago), licensed MIT. It adds 85 tokens to every session and 1,090 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 2026-08-30.
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