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 agentmods add skills/pymodel/css-pro-tips/css-pro-tipsnpx skills add PyModel/css-pro-tips --skill css-pro-tipsgit clone --depth 1 https://github.com/PyModel/css-pro-tipsWhat 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 | $0.00055 | $0.11367 |
| Opus 5 | $0.00028 | $0.05684 |
| Sonnet 5 | $0.00011 | $0.02273 |
| Haiku 4.5 | $0.00006 | $0.01137 |
Grade A, and why
css-protips 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 yesterday.
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 — 862 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CSS Protips — CSS engineering policy
Use this skill to make a design decision first, then select the smallest native implementation that fits. It is not a feature catalogue. Compatibility is evidence attached to a decision.
Statuses in this file were verified against current source records in August 2026.
Decision order
- Start with semantic design tokens.
- Declare cascade ownership and layer order.
- Prefer static/native CSS over runtime styling.
- Let content and the component container choose layout before adding viewport breakpoints.
- Ship a semantic, usable baseline before a newly available or Limited availability enhancement.
- Preserve real HTML, focus, ARIA/data state, contrast, and user preferences.
- Measure delivered output and browser behavior before optimizing.
Compatibility is a constraint, not the navigation model
MDN Baseline is useful evidence for browser support, but it is not accessibility, performance, visual QA, or a promise about the product's actual browser floor. Treat Widely available as normal production CSS for current evergreen targets; verify Newly available features against the product floor; make Limited availability features optional. [MDN Baseline][ref-baseline]
For any non-broad feature, write the usable fallback first and isolate the enhancement:
.card-list {
display: grid;
gap: var(--space-4);
grid-template-columns: 1fr;
}
@supports (container-type: inline-size) {
.card-list {
container-type: inline-size;
}
}
@supports proves syntax support only; still test the real interaction, content, and browser floor. [MDN @supports][ref-supports]
Delivery checklist
Before considering a CSS change done, answer these in order:
- Which semantic token, component boundary, and state own this value?
- Does intrinsic layout solve it before a viewport query or JavaScript measurement?
- Is static CSS plus attributes/custom properties enough?
- What works when the enhancement does not?
- Does keyboard focus, forced colors, reduced motion, zoom/reflow, and real content still work?
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.
- yesterday First seen · 862 lines · 55 tokens per session scan A a361936e4b42
css-protips is a skill published in the GitHub repository PyModel/css-pro-tips (21 stars, last pushed 6d ago), licensed MIT. It adds 55 tokens to every session and 11,367 once invoked, about $0.0003 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 2026-08-30.
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