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 devinilabs/pro-skill --skill nested-container-clean-agencygit clone --depth 1 https://github.com/devinilabs/pro-skillWrote 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/devinilabs/pro-skill/nested-container-clean-agency)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/nested-container-clean-agency"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/nested-container-clean-agency.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 | $0.00037 | $0.00746 |
| Opus 5 | $0.00018 | $0.00373 |
| Sonnet 5 | $0.00007 | $0.00149 |
| Haiku 4.5 | $0.00004 | $0.00075 |
Grade A, and why
nested-container-clean-agency 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.
This is a copy
100% identical to nested-container-clean-agency — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nested Container Clean Agency Skill
Use When
- Create a clean agency design system built from nested containers, with an outer editorial shell, inset dark feature blocks, rounded premium cards, and restrained accent color.
Workflow
Scope
- Apply this as a full design-system direction across page shell, section framing, cards, pricing blocks, call-to-action areas, and layout rhythm.
- Use it when the interface should feel clean, premium, and agency-led, with strong container hierarchy instead of flat page sections.
- This is not generic card-grid SaaS and not only a framing utility. The whole composition should be organized through nested shells and inset feature blocks.
Visual target
- Start with a centered outer page container that defines the main boundaries of the design with visible vertical rails, corner squares, or light frame lines.
- Inside that outer shell, place one or more inset containers with contrasting surfaces, especially dark rounded feature zones nested within a light editorial page.
- Build hierarchy by stacking containers inside containers: outer shell, inner dark section, then smaller rounded cards or content panels inside that section.
- Keep typography clean, modern, and agency-like, with confident headlines, restrained body copy, and minimal UI noise.
- Use a soft accent color sparingly for pills, buttons, active dots, subtle gradients, and call-to-action emphasis rather than saturating the full layout.
Implementation guidance
- Prefer a max-width outer wrapper with consistent side padding, vertical boundary lines, and tiny corner markers to establish the global frame.
- Use nested rounded containers to create depth: a darker major block inside the page, then lighter or darker cards inset within it depending on contrast needs.
- Maintain generous whitespace between nested layers so each shell feels intentional and breathable.
- Use border gradients, low-contrast strokes, and soft shadows to separate layers instead of heavy outlines everywhere.
- Pricing sections, service groupings, or feature comparisons should feel like modular editorial blocks housed inside a larger premium container.
- Motion should stay minimal and polished: masked text reveals, calm fade-ins, and light hover transitions are enough.
What ships with it
9 files 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.
- demo/assets/page-01-2f563338-39fa-47ea-9761-658d4f3f84db-1600w.jpg 292 KB
- demo/assets/page-02-4f5668c5-fc4a-44e0-bc5e-a664189d3c31-1600w.jpg 212 KB
- demo/assets/page-03-77415a2e-dcbc-4748-a29d-fced4821881a-1600w.jpg 354 KB
- demo/assets/page-04-c92852bb-a510-405a-85ab-ffa0fde136a4-1600w.jpg 209 KB
- demo/assets/source-preview.jpg 72 KB
- demo/index.html 21 KB
- demo/preview.jpg 54 KB
- demo/PROMPT.md 3.4 KB
- demo/source.json 3.2 KB
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 · 53 lines · 37 tokens per session scan A 99a761f4c953
nested-container-clean-agency is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 25d ago), licensed MIT. It adds 37 tokens to every session and 746 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to nested-container-clean-agency, differing in 0 lines, and is treated as a copy.
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