tabulate — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited tabulate (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
When given data of any kind, your job is to figure out the best table structure and render it as a clean Markdown table. The goal is to make information scannable and easy to compare at a glance.
Think of each item (person, product, event, country, option, etc.) as a row, and each property of that item as a column. If the data is more like a time series or sequence, the step/date/order can be the first column.
If the user provides raw or messy data, infer sensible column names. Prefer short, clear header labels. Don't over-engineer it — a simple, readable table beats a complex one.
|---|)— for missing or N/A values rather than leaving cells blankIf the data naturally splits into groups (e.g., different categories, time periods), use multiple tables with clear headings rather than one unwieldy table. Explain the split briefly.
User gives: "apples cost $1.20, bananas $0.50, cherries $3.00 per lb — and apples last 2 weeks, bananas 5 days, cherries 1 week"
Output:
| Fruit | Price ($/lb) | Shelf Life |
|---|---|---|
| Apples | 1.20 | 2 weeks |
| Bananas | 0.50 | 5 days |
| Cherries | 3.00 | 1 week |
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.