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 fellipeutaka/leon --skill tanstack-tablegit clone --depth 1 https://github.com/fellipeutaka/leonWrote 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/fellipeutaka/leon/tanstack-table)<a href="https://agentmods.dev/skills/fellipeutaka/leon/tanstack-table"><img src="https://agentmods.dev/badge/skills/fellipeutaka/leon/tanstack-table/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/fellipeutaka/leon/tanstack-table"><img src="https://agentmods.dev/badge/skills/fellipeutaka/leon/tanstack-table.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 | $0.00064 | $0.01760 |
| Opus 5.5 | $0.00026 | $0.00704 |
| Sonnet 5.5 | $0.00013 | $0.00352 |
| Haiku 4.5 | $0.00006 | $0.00176 |
Grade A, and why
tanstack-table 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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TanStack Table
Version: @tanstack/react-table@latest Requires: React 16.8+, TypeScript recommended
Quick Setup
npm install @tanstack/react-table
import {
useReactTable,
getCoreRowModel,
flexRender,
createColumnHelper,
} from '@tanstack/react-table'
type User = {
name: string
age: number
status: string
}
const columnHelper = createColumnHelper<User>()
const columns = [
columnHelper.accessor('name', { header: 'Name' }),
columnHelper.accessor('age', { header: 'Age' }),
columnHelper.accessor('status', { header: 'Status' }),
columnHelper.display({
id: 'actions',
cell: (props) => <button onClick={() => edit(props.row.original)}>Edit</button>,
}),
]
function App() {
const [data] = useState<User[]>([]) // must be stable reference
const table = useReactTable({
data,
columns,
getCoreRowModel: getCoreRowModel(),
})
return (
<table>
<thead>
{table.getHeaderGroups().map((headerGroup) => (
<tr key={headerGroup.id}>
{headerGroup.headers.map((header) => (
<th key={header.id}>
{flexRender(header.column.columnDef.header, header.getContext())}
</th>
))}
</tr>
))}
</thead>
<tbody>
{table.getRowModel().rows.map((row) => (
<tr key={row.id}>
{row.getVisibleCells().map((cell) => (
<td key={cell.id}>
{flexRender(cell.column.columnDef.cell, cell.getContext())}
</td>
))}
</tr>
))}
</tbody>
</table>
)
}
Row Models (Import Only What You Need)
TanStack Table is modular. Only import the row models you actually use:
import {
getCoreRowModel, // required
getSortedRowModel, // client-side sorting
getFilteredRowModel, // client-side filtering
getPaginationRowModel,// client-side pagination
getExpandedRowModel, // expanding/sub-rows
getGroupedRowModel, // grouping + aggregation
getFacetedRowModel, // faceted values
getFacetedUniqueValues,
getFacetedMinMaxValues,
} from '@tanstack/react-table'
What ships with it
12 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.
- agents/openai.yaml 191 B
- rules/col-column-defs.md 3.1 KB
- rules/exp-expanding.md 2.8 KB
- rules/filt-column-filtering.md 3.0 KB
- rules/filt-global-filtering.md 2.1 KB
- rules/pag-pagination.md 2.6 KB
- rules/rm-row-models.md 3.1 KB
- rules/sel-row-selection.md 2.4 KB
- rules/size-column-sizing.md 2.6 KB
- rules/sort-sorting.md 2.8 KB
- rules/table-setup.md 3.2 KB
- rules/vis-column-visibility.md 1.9 KB
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 · 205 lines · 64 tokens per session scan A fe2d4dee3037
tanstack-table is a skill published in the GitHub repository fellipeutaka/leon (5 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 1,760 once invoked, about $0.0003 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 2026-09-03.
tanstack-table compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tanstack-tablefellipeutaka/leon | Skill | 5 | yesterday | MIT | A | 64 | Claude Code, Codex |
| build-ghost-appTryGhost/Ghost | Skill | 56k | yesterday | MIT | A | 44 | Claude Code, Codex |
| chakra-ui-builderchakra-ui/chakra-ui | Skill | 41k | yesterday | MIT | A | 214 | Claude Code, Codex |
| material-ui-tailwindmui/material-ui | Skill | 99k | yesterday | MIT | A | 67 | Claude Code, Codex |
| fuzzy-rankingTanStack/table | Skill | 29k | 4d ago | MIT | A | 62 | Claude Code, Codex |
| r3f-best-practiceszebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 74 | Claude Code, Codex |
| git-safetytamagui/tamagui | Skill | 14k | today | MIT | A | 0 | Claude Code |