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 bright-green-tech-system-webglgit 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/bright-green-tech-system-webgl)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/bright-green-tech-system-webgl"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/bright-green-tech-system-webgl.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 | $0.00846 |
| Opus 5 | $0.00018 | $0.00423 |
| Sonnet 5 | $0.00007 | $0.00169 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
bright-green-tech-system-webgl 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 8d 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 bright-green-tech-system-webgl — 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.
Bright Green Tech System WebGL Skill
Use When
- Create a bright-green technical design system with structured split layouts, hard-framed dark surfaces, mono utility labels, and a prominent WebGL visualization zone.
Workflow
Scope
- Apply this as a full design-system direction across layout, framing, typography, controls, metadata, and the embedded WebGL visualization region.
- Use it when the interface should feel sharply technical, experimental, and structured, with a bright green signal color and a visible real-time visual engine.
- This is not generic dark SaaS and not soft glassmorphism. It should feel like an active synthesis console or build-system interface.
Visual target
- Build the page on a deep charcoal or near-black base with highly visible structure lines, container borders, corner brackets, and internal dividers.
- Use a bright lime, acid green, or signal-green accent as the dominant active color for indicators, progress states, focus details, highlights, and important labels.
- Keep the green vivid and intentional, but limit its usage to signals, focal typography, accent fills, and WebGL highlights rather than flooding every surface.
- Establish a split composition where one side carries content, metadata, and instructions while the other side hosts a WebGL or Three.js visualization zone.
- The WebGL region should feel integrated into the system, not decorative: it should read like a powered instrument panel, synthesized globe, particle engine, or live geometry viewport.
Implementation guidance
- Prefer a strong outer container shell with thin strokes, subtle backdrop blur, visible corner brackets, and a central divider or explicit split between text and visualization.
- Use clean sans-serif typography for main content and mono utility text for labels, status readouts, process steps, percentages, and system metadata.
- Introduce small framed modules, tips panels, progress rails, or status blocks with precise spacing and clear border hierarchy.
- Use masked staggered reveals, fade-up blocks, or controlled sequencing so the layout feels alive but disciplined.
- Treat the WebGL panel as a core component: use real canvas or Three.js rendering when possible, with luminous particles, synthetic geometry, or orbital forms tinted by the bright green accent.
- Keep the visualization atmospheric and premium: additive glow, subtle fog, gentle camera motion, and calm mouse response are good; chaotic motion and noisy overload are not.
What ships with it
3 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.
- 8d ago First seen · 53 lines · 37 tokens per session scan A ba4cf8432818
bright-green-tech-system-webgl is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 26d ago), licensed MIT. It adds 37 tokens to every session and 846 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 bright-green-tech-system-webgl, differing in 0 lines, and is treated as a copy.
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