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 web-technique-to-skillgit 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/web-technique-to-skill)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/web-technique-to-skill"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/web-technique-to-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/devinilabs/pro-skill/web-technique-to-skill"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/web-technique-to-skill.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00148 | $0.03611 |
| Opus 5.5 | $0.00059 | $0.01444 |
| Sonnet 5.5 | $0.00030 | $0.00722 |
| Haiku 4.5 | $0.00015 | $0.00361 |
Grade A, and why
web-technique-to-skill 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 2mo 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 web-technique-to-skill — 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Technique to Skill
Start from working code, not from prose. Reach for article-prompts-to-skills when the source is an article or a prompt pack that describes behavior. Reach for this when you built the thing, it works, and the knowledge is currently trapped in one file.
Extract one mechanism per skill. A page that turned out well usually holds several; package them separately or each one gets diluted.
Treat this as the living quality contract for every web-technique skill. On every creation or revision, audit this skill too. If the work exposes a missing fidelity rule, failure mode, packaging constraint, or verification step, update this contract in the same scoped change instead of solving it only inside one child skill.
Name the mechanism in one sentence
Write the sentence before you write anything else: the one thing that, if removed, makes the effect stop working. If you cannot write it, you have a look, not a mechanism, and there is no skill here yet.
The sentence decides everything downstream. For a leaf fall it is "the tumble crosses edge-on, and that instant of near-disappearance is what the eye reads as a leaf" — so the sprite artwork, the palette, and the night scene are all staging, and the tumble is the skill.
Test it: change the subject, the palette, and the layout in your head. If the sentence still holds, it is the mechanism. If it stops making sense, you named the staging.
Name the demo and disclose the stack
Use the concrete technique name for the visible h1 and browser <title>: Wisps, Cursor Ripples, Liquid Metal Border, or Scroll-scrubbed Word Reveal. Do not hide the subject behind an abstract mechanism claim. “Draw at any speed” describes behaviour, but it does not tell anyone what the demo is.
Put the verified implementation path directly above or below that title. Name, in order:
- The runtime or framework: Vanilla JavaScript, React, Vue
- The renderer or browser API: Canvas 2D, WebGL, DOM/CSS, SVG
- The technique layer when present: GLSL shaders, Three.js, GSAP, ScrollTrigger
What ships with it
6 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.
- 2mo ago First seen · 206 lines · 148 tokens per session scan A 8868b6b6940e
web-technique-to-skill is a skill published in the GitHub repository devinilabs/pro-skill (30 stars, last pushed 2mo ago), licensed MIT. It adds 148 tokens to every session and 3,611 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to web-technique-to-skill, differing in 0 lines, and is treated as a copy.
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