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-pinningnpx skills add TanStack/table --skill column-pinninggit 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 | $0.00045 | $0.00622 |
| Opus 5 | $0.00023 | $0.00311 |
| Sonnet 5 | $0.00009 | $0.00124 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
column-pinning scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
This skill builds on core, table-features, and column-sizing. Pinning partitions models; CSS creates the sticky visual result.
Setup
import {
columnPinningFeature,
columnSizingFeature,
tableFeatures,
} from '@tanstack/table-core'
export const features = tableFeatures({
columnSizingFeature,
columnPinningFeature,
})
export const initialState = {
columnPinning: { start: ['name'], end: ['actions'] },
}
Core Patterns
const style = (column: Column<any, any>) => ({
position: column.getIsPinned() ? 'sticky' : 'relative',
insetInlineStart:
column.getIsPinned() === 'start'
? `${column.getStart('start')}px`
: undefined,
insetInlineEnd:
column.getIsPinned() === 'end' ? `${column.getAfter('end')}px` : undefined,
width: `${column.getSize()}px`,
zIndex: column.getIsPinned() ? 1 : 0,
background: 'Canvas',
})
Common Mistakes
[HIGH] Using physical v8 regions
Wrong: column.pin('left')
Correct: column.pin('start')
V9 uses logical start and end, including state and collection APIs.
Source: docs/framework/react/guide/migrating.md#column-pinning
[HIGH] Expecting sticky CSS automatically
Wrong: column.pin('start')
Correct: Object.assign(cell.style, style(column))
The feature only computes regions and offsets; the renderer owns positioning, backgrounds, overflow, and stacking.
Source: examples/react/column-pinning-sticky/src/main.tsx
[HIGH] Diverging rendered and model widths
Wrong: cell.style.width = 'auto'
Correct: cell.style.width = ${column.getSize()}px``
Sticky offsets use numeric sizes, so mismatched DOM widths create gaps or overlaps.
Source: docs/framework/react/guide/column-pinning.md#useful-column-pinning-apis
API Discovery
Inspect node_modules/@tanstack/table-core/dist/features/column-pinning/; use CSS logical properties for direction-aware rendering.
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 · 86 lines · 45 tokens per session scan A fae60fa01bc1
column-pinning is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 622 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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