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 webgl-landing-steeringgit 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/webgl-landing-steering)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/webgl-landing-steering"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/webgl-landing-steering.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 | $0.00047 | $0.01132 |
| Opus 5 | $0.00023 | $0.00566 |
| Sonnet 5 | $0.00009 | $0.00226 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
webgl-landing-steering 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 5d 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 webgl-landing-steering — 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WebGL Landing Steering Skill
Use this skill to steer outcomes
Map landing-page goal to WebGL direction before writing code.
1) Define the page intent
Identify the primary conversion and brand signal:
- Premium / luxury / minimal confidence
- Technical / infrastructure / data authority
- Playful / consumer / social energy
- Cinematic / launch / storytelling impact
Also capture:
- Device mix (desktop-heavy vs mobile-heavy)
- Motion tolerance (
prefers-reduced-motionpolicy) - Production constraints (deadline, team skill, maintenance budget)
2) Choose the WebGL lane
Pick one dominant lane; avoid mixing 3-4 heavy effects in the hero.
Lane A: Subtle depth field (high conversion safety)
Use for: SaaS, productivity, B2B tools where readability wins.
- Visuals: soft gradient meshes, slow parallax planes, light bloom
- Motion: low amplitude, always secondary to copy
- Stack: Three.js plane shaders or lightweight shader canvas
- Rule: hero text contrast and CTA prominence first
Lane B: Data/particle intelligence (technical credibility)
Use for: AI, infra, analytics, developer products.
- Visuals: particle flows, node networks, vector fields, wireframes
- Motion: purposeful directional flow toward CTA area
- Stack: Three.js + custom shader/points, optionally GPGPU for dense fields
- Rule: communicate "system behavior," not random sparkles
Lane C: Object-centric 3D product moment (feature clarity)
Use for: hardware, apps with strong product visuals, launches.
- Visuals: central GLTF model, controlled camera orbit, material highlights
- Motion: interaction-driven or timeline-based reveal
- Stack: Three.js + GLTF/DRACO/KTX2 pipeline
- Rule: one hero object, short loop, fast first meaningful paint fallback
Lane D: Immersive cinematic scene (brand campaign)
Use for: campaign pages where wow factor is the main KPI.
- Visuals: volumetrics, heavy postprocessing, dense scene composition
- Motion: choreographed sequence with scroll chapters
- Stack: Three.js + postprocessing + optional GSAP ScrollTrigger
- Rule: provide a static/mobile fallback and strict performance gates
What ships with it
4 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.
- 5d ago First seen · 116 lines · 47 tokens per session scan A a5310ca2912c
webgl-landing-steering is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 26d ago), licensed MIT. It adds 47 tokens to every session and 1,132 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 webgl-landing-steering, differing in 0 lines, and is treated as a copy.
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