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 skills add ur-grue/autopunk-media-skills --skill data-table-formattergit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/data-table-formatter)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/data-table-formatter"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/data-table-formatter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/data-table-formatter"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/data-table-formatter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.01290 |
| Opus 5 | $0.00023 | $0.00645 |
| Sonnet 5 | $0.00009 | $0.00258 |
| Haiku 4.5 | $0.00005 | $0.00129 |
Grade A, and why
data-table-formatter 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Table Formatter
What This Skill Does
Formats raw or messy data into a clean, publication-ready table with appropriate headers, sorted rows, consistent number formatting, and a source note — ready to drop into an article, report, or web page.
When To Use This Skill
- You have raw data that needs to appear as a formatted table in a published article or report
- Exported data has inconsistent number formats, missing headers, or unclear column labels
- You need a table to accompany a data story that is clear enough for a general reader
- You are producing a table for a print or digital publication and need consistent styling guidance alongside the formatted content
What You Need To Provide
Required: The raw data (pasted as text, CSV, or a description of the rows and columns). The intended purpose (news article, annual report, magazine feature, etc.). The data source for the footnote. Optional: Whether the table should be sorted and by which column; any columns to exclude from the published version; preferred number format (e.g. round to nearest whole number, use commas for thousands); a specific headline or title for the table.
How the Assistant Approaches This
- Reviews the raw data for formatting inconsistencies, ambiguous column labels, and numbers that need standardising (units, decimal places, thousands separators).
- Rewrites column headers in plain, publication-appropriate language and applies consistent number formatting throughout.
- Produces the final table in clean Markdown format with a title, formatted headers, sorted rows (if specified), and a source note beneath.
Output Format
A Markdown table with a bold title above it and a source note in italics below. Column headers are capitalised consistently. Numbers use the specified format (or a sensible default: two decimal places for percentages, whole numbers for large counts, commas for thousands). Rows sorted by the most newsworthy column unless otherwise specified. One to two formatting notes below the source line if any decisions required editorial judgement (e.g. "Figures rounded to the nearest whole number").
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 84 lines · 46 tokens per session scan A 0089af92d7c0
data-table-formatter is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 11d ago), licensed MIT. It adds 46 tokens to every session and 1,290 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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