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/with-tanstack-virtualnpx skills add TanStack/table --skill with-tanstack-virtualgit 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 | $0.00048 | $0.00854 |
| Opus 5 | $0.00024 | $0.00427 |
| Sonnet 5 | $0.00010 | $0.00171 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
with-tanstack-virtual 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill builds on @tanstack/table-core#core, getting-started, and table-state. Virtual is a rendering concern over final Table models, not a feature plugin.
Setup
import { computed, viewChild } from '@angular/core'
import { injectVirtualizer } from '@tanstack/angular-virtual'
import type { ElementRef } from '@angular/core'
export class VirtualTable {
readonly scrollElement =
viewChild<ElementRef<HTMLDivElement>>('scrollElement')
readonly rows = computed(() => this.table.getRowModel().rows)
readonly rowVirtualizer = injectVirtualizer(() => ({
count: this.rows().length,
scrollElement: this.scrollElement()?.nativeElement,
estimateSize: () => 34,
getItemKey: (index) => this.rows()[index]!.id,
overscan: 5,
}))
readonly virtualRows = computed(() => this.rowVirtualizer.getVirtualItems())
readonly totalSize = computed(() => this.rowVirtualizer.getTotalSize())
}
Core Patterns
Derive reactive models
Use computed(() => table.getRowModel().rows) and computed(() => table.getVisibleLeafColumns()). injectVirtualizer tracks signal reads in its initializer and requires injection context.
Own the layout contract
Give the scroll element bounded overflow, create a total-size spacer, and translate or measure each virtual item. Use grid/flex widths for dynamic rows/columns and keep sticky headers inside the correct scroll geometry.
Gate infinite fetches
When the last virtual item approaches fetched length, fetch only if more server rows exist and a request is not active. Manual sorting requires server-sorted pages and a reset/refetch policy.
Common Mistakes
CRITICAL Constructing outside injection context
Wrong:
export function virtualize(options) {
return injectVirtualizer(() => options)
}
Correct:
export class VirtualTable {
readonly virtualizer = injectVirtualizer(() => options())
}
The Angular virtualizer follows DI lifecycle rules just like injectTable.
Source: examples/angular/virtualized-rows/src/app/app.ts
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 · 127 lines · 48 tokens per session scan A 9d827682b57c
with-tanstack-virtual is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 854 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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