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/tanstack/table/client-vs-servernpx skills add TanStack/table --skill client-vs-servergit clone --depth 1 https://github.com/TanStack/tableWhat 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 | $0.00050 | $0.00957 |
| Opus 5 | $0.00025 | $0.00478 |
| Sonnet 5 | $0.00010 | $0.00191 |
| Haiku 4.5 | $0.00005 | $0.00096 |
Grade A, and why
client-vs-server 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 yesterday.
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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill builds on core and table-features. Read them first for the model pipeline and plugin slots.
Setup
import {
rowPaginationFeature,
rowSortingFeature,
tableFeatures,
} from '@tanstack/table-core'
export const features = tableFeatures({
rowSortingFeature,
rowPaginationFeature,
})
export const serverOptions = {
manualSorting: true,
manualPagination: true,
rowCount: 12_450,
} as const
Core Patterns
Client owns the complete pipeline
const features = tableFeatures({
columnFilteringFeature,
filteredRowModel: createFilteredRowModel(),
rowSortingFeature,
sortedRowModel: createSortedRowModel(),
rowPaginationFeature,
paginatedRowModel: createPaginatedRowModel(),
})
Pass the full client dataset so each stage can process all rows.
Server owns processing
const options = {
data: serverPage.rows,
manualFiltering: true,
manualSorting: true,
manualPagination: true,
rowCount: serverPage.total,
}
Put controlled filter, sorting, and pagination state into the request/query key.
Common Mistakes
[CRITICAL] Treating manual flags as requests
Wrong:
const options = { manualSorting: true, data: unsortedRows }
Correct:
const sortedPage = await fetchPage({ sorting })
const options = { manualSorting: true, data: sortedPage.rows }
manualSorting only bypasses client sorting; it never calls a backend.
Source: packages/table-core/src/features/row-sorting/rowSortingFeature.types.ts
[HIGH] Expecting manual pagination to slice
Wrong:
const options = { data: allRows, manualPagination: true }
Correct:
const page = await fetchPage({ pageIndex, pageSize })
const options = {
data: page.rows,
manualPagination: true,
rowCount: page.rowCount,
}
Manual pagination assumes data already represents the intended page. Pass the stable page result directly. If the application deliberately performs custom local slicing instead, derive it with the framework's memo/computed primitive and keep the reference stable until its actual inputs change.
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.
- yesterday First seen · 165 lines · 50 tokens per session scan A 26455fa74c93
client-vs-server is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 957 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 2026-08-30.
Other skills, from other repositories
grid-lite-to-igr-grid-migration
Step-by-step migration guide from Grid Lite (IgrGridLite) to the premium Ignite UI for React Data Grid (IgrGrid), covering every import, registration, component name, property, event, template, sorting, filtering, and toolbar API change.
igniteui-react-customize-theme
This skill customizes Ignite UI for React component styling using CSS custom properties and the full theming system and should be used when applying brand colors, dark mode, component-level overrides, or scoped themes in a React application.
webgl-expert
Expert guide for WebGL API development including 3D graphics, shaders (GLSL), rendering pipeline, textures, buffers, performance optimization, and canvas rendering. Use when working with WebGL, 3D graphics, canvas rendering, shaders, GPU programming, or when user mentions WebGL, OpenGL ES, GLSL, vertex shaders…
lenis-react
Integrate Lenis smooth scroll into React and Next.js projects. Use when the user wants smooth scrolling, scroll-linked animations, parallax effects, GSAP ScrollTrigger sync, Framer Motion sync, programmatic scroll-to navigation, or scroll event listening in a React app. Covers ReactLenis provider setup, useLenis hook…
gsap-tackl
Implements and orchestrates GSAP in Tackl — useAnimation, useGSAP, ScrollTrigger, Lenis sync, page transitions, and reduced-motion fallbacks. Use when the user mentions GSAP, tweens, timelines, ScrollTrigger, scrub, matchMedia, Lenis, smooth scroll, page transitions, motion design, or enter/exit animations.
tackl-performance
Optimizes Tackl apps for Web Vitals, reduced motion, and scroll performance. Use when the user mentions performance, LCP, CLS, prefers-reduced-motion, lazy loading, scroll jank, or PerformanceContext.