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 mesh-gradient-dark-blue-cleangit 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/mesh-gradient-dark-blue-clean)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/mesh-gradient-dark-blue-clean"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/mesh-gradient-dark-blue-clean.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 | $0.00067 | $0.02913 |
| Opus 5 | $0.00034 | $0.01456 |
| Sonnet 5 | $0.00013 | $0.00583 |
| Haiku 4.5 | $0.00007 | $0.00291 |
Grade A, and why
mesh-gradient-dark-blue-clean 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 mesh-gradient-dark-blue-clean — 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mesh Gradient Dark Blue Clean
Use When
- The whole page should feel futuristic, premium, clean, and infrastructural.
- A dark-blue mesh gradient should power the composition, not sit behind it as a generic backdrop.
- The interface needs a central hero shell, restrained navigation, floating network hints, framed sections, and slow technical motion.
Direction
Build on a near-black foundation with a deep navy or steel-blue undertone. Place a shader-like mesh gradient, CPPN-style field, abstract WebGL veil, or canvas light field inside the main hero shell. Keep the surrounding system disciplined: crisp typography, thin rails, corner markers, tiny status dots, quiet frames, and sparse node callouts.
This is not an airy blue page. This is not generic glassmorphism. The mesh is the visual engine inside a minimal system shell.
System Recipe
- Foundation: near-black navy, not flat black.
- Hero shell: large rounded container with a subtle white-to-transparent gradient border and darker inner fill.
- Mesh field: blue-led procedural canvas or WebGL layer inside the shell.
- Typography: white headlines, gray-blue support copy, restrained accents.
- Navigation: compact dark translucent pill with light edge gradient.
- Nodes: a few floating glass pills, active dots, tiny labels, and connector lines.
- Structure: thin vertical rails, corner squares, numeric markers, and framed lower sections.
- CTAs: one bright solid capsule plus one ghost or glass capsule with a faint border gradient.
- Motion: slow mesh drift, subtle scan streaks, masked text reveal, or tiny node shimmer.
Color Tokens
:root {
--mesh-bg: #030712;
--mesh-bg-blue: #07111f;
--mesh-shell: rgba(7, 13, 25, 0.82);
--mesh-shell-inner: rgba(4, 9, 18, 0.72);
--mesh-line: rgba(191, 219, 254, 0.14);
--mesh-line-strong: rgba(226, 232, 240, 0.28);
--mesh-text: #f8fafc;
--mesh-copy: #9fb2ca;
--mesh-muted: #64748b;
--mesh-accent: #dbeafe;
--mesh-cobalt: #1d4ed8;
--mesh-indigo: #312e81;
--mesh-steel: #385a7c;
}
What ships with it
5 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.
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 · 308 lines · 67 tokens per session scan A 4c91c0ba4ccd
mesh-gradient-dark-blue-clean is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 25d ago), licensed MIT. It adds 67 tokens to every session and 2,913 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to mesh-gradient-dark-blue-clean, differing in 0 lines, and is treated as a copy.
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