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 agentmods add skills/12-studio/tackl/tackl-performancenpx skills add 12-Studio/Tackl --skill tackl-performancegit clone --depth 1 https://github.com/12-Studio/TacklWrote 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/12-studio/tackl/tackl-performance)<a href="https://agentmods.dev/skills/12-studio/tackl/tackl-performance"><img src="https://agentmods.dev/badge/skills/12-studio/tackl/tackl-performance.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 | $0.00050 | $0.00632 |
| Opus 5 | $0.00025 | $0.00316 |
| Sonnet 5 | $0.00010 | $0.00126 |
| Haiku 4.5 | $0.00005 | $0.00063 |
Grade A, and why
tackl-performance 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance (Tackl)
PerformanceContext
Provided by PerformanceProvider in src/components/Contexts/Performance.tsx, available app-wide via Contexts.
| Value | Type | Use |
|---|---|---|
isReducedMotion |
boolean |
prefers-reduced-motion: reduce — disable/skip animations |
devicePixelRatio |
number |
Choose image resolution / canvas DPR |
'use client';
import { use } from 'react';
import { PerformanceContext } from '@parts/Contexts/Performance';
const MyComponent = () => {
const { isReducedMotion } = use(PerformanceContext);
if (isReducedMotion) return <StaticFallback />;
return <AnimatedContent />;
};
Built-in consumer: SmoothScroll skips Lenis entirely when isReducedMotion is true — native scrolling takes over and no rAF loop starts.
Animation gating
Before any GSAP/Lenis/canvas work:
if (isReducedMotion) return;
Prefer instant state changes over tweens when isReducedMotion is true. Scale canvas/WebGL resolution by devicePixelRatio rather than always rendering at full DPR.
Images
- Always set
width,height, andsizes next.config.jsalready configures AVIF/WebP output; add your CMS's image CDN hostname toimages.remotePatternsbefore using it
Next.js patterns
- Server Components for data fetching; client components only when needed
dynamic()for non-critical client bundlesSuspensewith lightweight fallbacks for async client treesreactStrictMode: true— GSAP cleanup must be correct (duplicate effect runs in dev)
Web Vitals checklist
| Metric | Focus |
|---|---|
| LCP | Priority images, avoid blocking fonts, minimize client JS above fold |
| CLS | Explicit image dimensions, reserve space for async content |
| INP | Debounce scroll handlers, avoid long main-thread tasks |
Lenis + GSAP cost
Smooth scroll runs on every page via SmoothScroll. Do not add second scroll libraries. Keep ScrollTrigger counts reasonable — batch refreshes; cleanup is automatic via useAnimation/useGSAP context (never .kill() by hand).
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 · 80 lines · 50 tokens per session scan A 1814a3f70580
tackl-performance is a skill published in the GitHub repository 12-Studio/Tackl (10 stars, last pushed 9d ago), licensed MIT. It adds 50 tokens to every session and 632 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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