TanStack Table is a headless table library: it supplies table and datagrid logic while leaving the markup, styling, and components to the application. Developers use it with JavaScript and TypeScript frameworks to build customizable tables with features such as sorting, filtering, grouping, aggregation, and row selection. Its catalogue skills provide version-matched guidance for coding agents working with the library.
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 TanStack/table --skill getting-startedgit clone --depth 1 https://github.com/TanStack/tableWrote 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/tanstack/table/getting-started)<a href="https://agentmods.dev/skills/tanstack/table/getting-started"><img src="https://agentmods.dev/badge/skills/tanstack/table/getting-started/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/tanstack/table/getting-started"><img src="https://agentmods.dev/badge/skills/tanstack/table/getting-started.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00713 |
| Opus 5.5 | $0.00013 | $0.00285 |
| Sonnet 5.5 | $0.00007 | $0.00143 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
getting-started 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 19d 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.
Load intent load @tanstack/table-core#core first for the headless model, stable inputs, and column inference.
Setup
import Alpine from 'alpinejs'
import {
FlexRender,
createTable,
tableFeatures,
type ColumnDef,
} from '@tanstack/alpine-table'
type Person = { id: string; name: string }
const features = tableFeatures({})
const columns: Array<ColumnDef<typeof features, Person>> = [
{ accessorKey: 'name', header: 'Name' },
]
Alpine.data('peopleTable', () => {
const local = Alpine.reactive({
data: [{ id: '1', name: 'Ada' }] as Array<Person>,
})
const table = createTable({
features,
columns,
get data() {
return local.data
},
getRowId: (row) => row.id,
})
return { table, FlexRender }
})
window.Alpine = Alpine
Alpine.start()
Render real table structure with x-for; use x-html="FlexRender({ header })" or x-html="FlexRender({ cell })" only for renderer output.
Construction and rendering
Wrap changing data in Alpine.reactive and expose it with get data(). The adapter tracks option getters; data: local.data captures a snapshot and does not follow later array replacements. Keep static columns and features outside getters.
The returned table is a reactive proxy. Read Table APIs directly in x-text, x-for, x-if, or bound attributes; no Subscribe component is needed.
Build table structure and interactive controls as real Alpine markup. Use x-html="FlexRender({ header })" or x-html="FlexRender({ cell })" for renderer output. Alpine does not initialize directives inside x-html strings; use templates or Alpine.bind bundles for buttons and inputs.
Read for the task
- When adding or configuring optional features, load
intent load @tanstack/table-core#table-featuresand read only references for the requested behavior. - For state ownership or reactive reads, read table-state.
- When tables share features, defaults, or reusable UI, read create-table-hook.
What ships with it
1 file 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.
- 19d ago Changed 8c399823ba1c
- 23d ago Changed 8894bc6f1f25
- 27d ago Changed · -29 lines · -27 tokens per session 8873b90ee4a4
- 2mo ago First seen · 109 lines · 60 tokens per session scan A 9f28ce916992
getting-started is a skill published in the GitHub repository TanStack/table (28,537 stars, last pushed 10d ago), licensed MIT. It adds 33 tokens to every session and 713 once invoked, about $0.0001 per session on Opus 5.5. 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.
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