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 kennethkhoocy/applied-micro-skills --skill latex-empirical-tablesgit clone --depth 1 https://github.com/kennethkhoocy/applied-micro-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/kennethkhoocy/applied-micro-skills/latex-empirical-tables)<a href="https://agentmods.dev/skills/kennethkhoocy/applied-micro-skills/latex-empirical-tables"><img src="https://agentmods.dev/badge/skills/kennethkhoocy/applied-micro-skills/latex-empirical-tables/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/kennethkhoocy/applied-micro-skills/latex-empirical-tables"><img src="https://agentmods.dev/badge/skills/kennethkhoocy/applied-micro-skills/latex-empirical-tables.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 | $0.00240 | $0.07680 |
| Opus 5.5 | $0.00096 | $0.03072 |
| Sonnet 5.5 | $0.00048 | $0.01536 |
| Haiku 4.5 | $0.00024 | $0.00768 |
Grade A, and why
latex-empirical-tables 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 1mo 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 — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX Empirical Tables
Empirical economics and finance papers export regression and estimation output as estout/esttab "body fragments" — rows of \multicolumn headers, coefficients with \sym stars, and parenthesised p-values or SEs, with no \toprule/\bottomrule — pulled into the manuscript through a wrapper macro (\estauto/\estwide/\estautoLT). Done well this reads like a top-journal table. Done naively it looks broken: wide tables spill past the right margin, the note legend is jammed inside the tabular as a boxed cell, columns sit at uneven widths, and \input-ed fragments throw "Misplaced \omit". This skill sets a results .tex up from scratch, converts ugly estout tables to the gold-standard pattern, and diagnoses the \omit error. The reasoning behind each choice is given so you can adapt rather than copy blindly.
Routing
| You want to... | Go to |
|---|---|
Set up results.tex/main.tex and its preamble from scratch |
Section A |
| Fix or reformat existing estout tables (overflow, cramped notes, stars, alignment) | Section B |
Diagnose a "Misplaced \omit" error from an \input-ed fragment |
Section C |
Merge several self-compiling block results.tex files into one master document |
Section D |
Fix skipped table numbers (Table 1, Table 3, ...) when \captionof + longtable are combined |
Section D |
Section A — Build a results document from scratch
When producing regression or estimation tables, follow this workflow to create a compilable LaTeX document with a standard empirical-economics preamble and estout macros.
Directory structure
All output lives under outline/ relative to the project root:
outline/
├── preamble/
│ └── preamble.tex ← LaTeX preamble (no \begin{document})
├── Tables/
│ ├── table_01.tex ← table fragments (auto-increment)
│ ├── table_02.tex
│ └── ...
├── Figures/
│ └── ... ← figures (.pdf, .png, etc.)
└── results.tex ← master document (created on first table)
What ships with it
4 files 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.
- 1mo ago First seen · 497 lines · 240 tokens per session scan A 434ff0eaa4e9
latex-empirical-tables is a skill published in the GitHub repository kennethkhoocy/applied-micro-skills (20 stars, last pushed 1mo ago), licensed MIT. It adds 240 tokens to every session and 7,680 once invoked, about $0.0010 per session on Opus 5.5. 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.
Other skills, from other repositories
ieee-latex
Compile, diagnose, and fix IEEEtran LaTeX manuscripts for JSAC, TWC, TCOM, WCL, CL, and related IEEE journals: documentclass options, BibTeX/IEEEtran bibliography, undefined citations/refs, overfull hboxes, figure/table placement, algorithm/equation numbering, Index Terms, EDICS, biographies, and final PDF checks. Use…
pydicom
Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
clinical-reports
Creates safety-bounded draft structures and runs local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.
pptx-posters
Creates and audits editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets. Used when the requested deliverable is a PowerPoint research/conference poster and exact physical, printer, accessibility, provenance, and package-security checks are required.
nwb-conversion
Converts neuroscience acquisition data to Neurodata Without Borders files with NeuroConv and PyNWB, preserves metadata and timebases, checks evidence-based clock alignment, and produces schema validation, NWB Inspector findings and round-trip checks. Use for NWB conversion and synchronization of planar single-channel…
nature-paper2word
A document conversion workflow that turns an academic Markdown manuscript into a Word .docx file. It supports specified academic formatting, equations, tables, references, cross-references, and export checks.