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/row-selectionnpx skills add TanStack/table --skill row-selectiongit 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 | $0.00068 | $0.01493 |
| Opus 5 | $0.00034 | $0.00746 |
| Sonnet 5 | $0.00014 | $0.00299 |
| Haiku 4.5 | $0.00007 | $0.00149 |
Grade A, and why
row-selection 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 — 175 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. Selection is independent ID state; selected row models can only materialize loaded rows.
Setup
import {
rowSelectionFeature,
tableFeatures,
type Row,
} from '@tanstack/table-core'
type Person = { id: string; name: string }
export const features = tableFeatures({ rowSelectionFeature })
export const options = {
getRowId: (row: Person) => row.id,
enableSubRowSelection: false,
}
Core Patterns
const selectedIds = table.getSelectedRowIds()
const loadedSelectedRows = table.getSelectedRowModel().rows
Use IDs for database-wide intent and row models for currently loaded objects.
Inclusive Shift ranges through the row handler
export function getSelectionHandler(row: Row<typeof features, Person>) {
return row.getToggleSelectedHandler()
}
The handler establishes a table-local anchor on ordinary interactions and applies the checked value to the inclusive current display-order range on Shift interactions. Range behavior is enabled by default; set enableRowRangeSelection: false to preserve non-range handler behavior. Direct row.toggleSelected() and table.setRowSelection() calls do not move that anchor.
Pass the original checkbox click event to this handler. DOM change events often omit modifier keys, so use the framework's click binding for row checkboxes unless its change event exposes the original click through nativeEvent (as React does).
Limit a range to explicitly displayed rows
export function getDisplayedRowsOnlyHandler(row: Row<typeof features, Person>) {
return row.getToggleSelectedHandler({ selectChildren: false })
}
The default selectChildren: true recursively changes selectable descendants of parents encountered in the range. Set it to false when collapsed descendants outside the display-order interval must remain unchanged.
Prune stale parent ids on child deselection
export function getPruningHandler(row: Row<typeof features, Person>) {
return row.getToggleSelectedHandler({ deselectParents: true })
}
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 · 175 lines · 68 tokens per session scan A efc63023afb8
row-selection is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 68 tokens to every session and 1,493 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.
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