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/column-resizingnpx skills add TanStack/table --skill column-resizinggit 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 | $0.00047 | $0.00630 |
| Opus 5 | $0.00023 | $0.00315 |
| Sonnet 5 | $0.00009 | $0.00126 |
| Haiku 4.5 | $0.00005 | $0.00063 |
Grade A, and why
column-resizing 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill builds on core, table-features, and column-sizing. Resizing supplies gesture APIs and state; the renderer supplies handles and widths.
Setup
import {
columnResizingFeature,
columnSizingFeature,
tableFeatures,
} from '@tanstack/table-core'
export const features = tableFeatures({
columnSizingFeature,
columnResizingFeature,
})
export const options = {
columnResizeMode: 'onChange' as const,
columnResizeDirection: 'ltr' as const,
}
Core Patterns
const handler = header.getResizeHandler()
handle.addEventListener('mousedown', handler)
handle.addEventListener('touchstart', handler)
For large grids, compute all visible sizes once per update and expose them as CSS variables.
Common Mistakes
[CRITICAL] Omitting sizing prerequisite
Wrong: tableFeatures({ columnResizingFeature })
Correct: tableFeatures({ columnSizingFeature, columnResizingFeature })
Resizing modifies the sizing state and requires columnSizingFeature.
Source: packages/table-core/src/types/TableFeatures.ts#FeatureSlotPrereqs
[HIGH] Rendering an inert handle
Wrong: handle.addEventListener('pointerdown', header.getResizeHandler())
Correct:
const handler = header.getResizeHandler()
handle.addEventListener('mousedown', handler)
handle.addEventListener('touchstart', handler)
The shipped handler distinguishes touchstart from the mouse path. A single
pointerdown listener does not provide working touch resizing; wire both mouse
and touch start events.
Source: docs/framework/react/guide/column-resizing.md#connect-column-resizing-apis-to-ui
[MEDIUM] Reading sizes in every cell
Wrong: cells.forEach(cell => cell.style.width = ${cell.column.getSize()}px)
Correct: root.style.setProperty(--col-${header.id}, ${header.getSize()}px)
Caching sizes or CSS variables avoids repeated work during onChange resizing.
Source: examples/react/column-resizing-performant/src/main.tsx
API Discovery
Inspect node_modules/@tanstack/table-core/dist/features/column-resizing/ and the sizing feature directory for the state it updates.
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 · 88 lines · 47 tokens per session scan A 2cd27ba6ee00
column-resizing is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 630 once invoked, about $0.0002 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.
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