openstatusHQ/data-table-filters is a React toolkit for building data tables with filters, sorting, scrolling, and reusable table components. It helps developers create filterable tables using shadcn/ui and TanStack Table. The catalogue add-ons provide table blocks, state adapters, cell renderers, query integration, and other parts of its workflow.
Borrowing it
Nothing to install: this file belongs to openstatusHQ/data-table-filters. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/openstatusHQ/data-table-filters/main/.agents/skills/grill-me/SKILL.mdgit clone --depth 1 https://github.com/openstatusHQ/data-table-filtersWrote 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/openstatushq/data-table-filters/grill-me)<a href="https://agentmods.dev/skills/openstatushq/data-table-filters/grill-me"><img src="https://agentmods.dev/badge/skills/openstatushq/data-table-filters/grill-me.svg" alt="Measured on agentmods" 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 | $0.00049 | $0.00114 |
| Opus 5 | $0.00024 | $0.00057 |
| Sonnet 5 | $0.00010 | $0.00023 |
| Haiku 4.5 | $0.00005 | $0.00011 |
Grade A, and why
grill-me 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 8d 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.
This is a copy
92% identical to cross-examine — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
If a question can be answered by exploring the codebase, explore the codebase instead.
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.
- 8d ago First seen · 9 lines · 49 tokens per session scan A a9f2912c0f53
grill-me is a skill published in the GitHub repository openstatusHQ/data-table-filters (2,226 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 114 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to cross-examine, differing in 4 lines, and is treated as a copy.
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