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 commands/albertotrelles/xlsform-reader/label-statagit clone --depth 1 https://github.com/albertotrelles/xlsform-readerWrote 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/commands/albertotrelles/xlsform-reader/label-stata)<a href="https://agentmods.dev/commands/albertotrelles/xlsform-reader/label-stata"><img src="https://agentmods.dev/badge/commands/albertotrelles/xlsform-reader/label-stata.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 | $0.00000 | $0.00193 |
| Opus 5 | $0.00000 | $0.00097 |
| Sonnet 5 | $0.00000 | $0.00039 |
| Haiku 4.5 | $0.00000 | $0.00019 |
Grade A, and why
label-stata 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 3d 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.
What it actually says
Find all .xlsx files in the current working directory that look like XLSForm / SurveyCTO form definitions (they should have sheets named "survey", "choices", and "settings"). Also find all .csv data files in the current directory. For each form definition found, use the surveycto-form-reader skill to parse it. Then, using the data-first workflow: read the column headers from the corresponding .csv data file first, left-join against the parsed survey and choices sheets, and generate a Stata .do file that defines and assigns value labels for all select_one and select_multiple variables that actually exist in the data. Respect Stata's 32-character variable name limit — use truncated names throughout and never attempt to rename beyond 32 characters. Use capture before label values commands for safety. Save the .do file as {original_filename}_labels.do in the current directory. At the end, list all .do files created.
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.
- 3d ago First seen · 2 lines · 0 tokens per session scan A 94ea23958258
label-stata is a command published in the GitHub repository albertotrelles/xlsform-reader (5 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 193 tokens. 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 2026-08-31.
Other commands, from other repositories
faostat-analytical-brief
Produce a FAOSTAT-style multi-page analytical brief (PDF + xlsx appendix).
faostat-export-dataset
Export clean, documented FAOSTAT data as xlsx + csv + data dictionary.
faostat-scientific-paper
Generate a peer-reviewable academic paper from FAOSTAT data (docx + xlsx + bib).
portaljs-check-data-quality
Audit a local or remote tabular file (CSV/TSV) for common data quality issues. Read-only. Use only when the user explicitly asks to check or audit data quality.
spreadsheet-audit
Perform a 6-step audit of an Excel spreadsheet for formula correctness, formatting consistency, data integrity, boss-auditable simplicity, and spec compliance. Uses the excel-screenshot MCP server tools — no Excel installation required.
format
Format cells in a Google Sheets range.