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 punkadillo/figma-code-composer --skill panda-cssgit clone --depth 1 https://github.com/punkadillo/figma-code-composerWrote 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/punkadillo/figma-code-composer/panda-css)<a href="https://agentmods.dev/skills/punkadillo/figma-code-composer/panda-css"><img src="https://agentmods.dev/badge/skills/punkadillo/figma-code-composer/panda-css.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00823 |
| Opus 5 | $0.00016 | $0.00411 |
| Sonnet 5 | $0.00007 | $0.00165 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
panda-css 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 4d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Panda CSS
CSS-in-JS framework with static analysis and atomic CSS output for type-safe, optimized styling.
LLM-Optimized Documentation
Fetch these pre-compiled docs for comprehensive topic coverage:
| Topic | URL | Covers |
|---|---|---|
| Complete Docs | https://panda-css.com/llms-full.txt | Everything in one file |
| Overview | https://panda-css.com/llms.txt/overview | Getting started, browser support, FAQ, why Panda |
| Installation | https://panda-css.com/llms.txt/installation | Framework-specific setup guides |
| Concepts | https://panda-css.com/llms.txt/concepts | Patterns, recipes, conditional styles, responsive design, cascade layers, hooks |
| Theming | https://panda-css.com/llms.txt/theming | Design tokens, text styles, layer styles, animation styles |
| Utilities | https://panda-css.com/llms.txt/utilities | All CSS utilities by category (background, border, flex, grid, typography, etc.) |
| Customization | https://panda-css.com/llms.txt/customization | Custom theme, utilities, patterns, presets |
| Guides | https://panda-css.com/llms.txt/guides | Practical use case guides |
| Migration | https://panda-css.com/llms.txt/migration | Migrating from other CSS-in-JS libraries |
| References | https://panda-css.com/llms.txt/references | CLI commands, configuration reference |
For broad topic understanding, fetch the aggregated /llms.txt/topic URL. For specific page details, fetch /docs/path/page.mdx.
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.
- 4d ago First seen · 80 lines · 33 tokens per session scan A d7e610c6245f
panda-css is a skill published in the GitHub repository punkadillo/figma-code-composer (3 stars, last pushed 19d ago), licensed MIT. It adds 33 tokens to every session and 823 once invoked, about $0.0002 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 2026-09-03.
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