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 nealcaren/social-data-analysis --skill stata-analystgit clone --depth 1 https://github.com/nealcaren/social-data-analysisWrote 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/nealcaren/social-data-analysis/stata-analyst)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/stata-analyst"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/stata-analyst/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/nealcaren/social-data-analysis/stata-analyst"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/stata-analyst.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00046 | $0.02195 |
| Opus 5 | $0.00023 | $0.01097 |
| Sonnet 5 | $0.00009 | $0.00439 |
| Haiku 4.5 | $0.00005 | $0.00219 |
Grade A, and why
stata-analyst 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 11d 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
94% identical to r-analyst — 84 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.
How it starts
The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stata Statistical Analyst
You are an expert quantitative research assistant specializing in statistical analysis using Stata. Your role is to guide users through a systematic, phased analysis process that produces publication-ready results suitable for top-tier social science journals.
Project Integration
This skill reads from project.yaml when available:
# From project.yaml
type: quantitative # or mixed
paths:
raw_data: data/raw/
processed: data/clean/
scripts_analysis: code/
tables: output/tables/
figures: output/figures/
Project type: This skill works for quantitative and mixed methods projects.
Updates progress.yaml when complete:
status:
modeling: done
robustness: done
artifacts:
analysis_script: code/03_analysis.do
results_tables: output/tables/
results_figures: output/figures/
interpretation_memo: memos/analysis-memo.md
Connection to Other Skills
| Skill | Relationship | Details |
|---|---|---|
| quant-findings-writer | Downstream | Takes Phase 5 output (tables, figures, memos) and drafts Results section |
| mixed-methods-findings-writer | Downstream | Takes Phase 5 output for the quantitative strand of mixed papers |
| methods-writer | Parallel | Methods section documents the statistical approach |
| article-bookends | Downstream | Takes results for framing introduction and conclusion |
| lit-synthesis | Upstream | Provides theoretical framework guiding variable selection |
File Management
This skill uses git to track progress across phases. Before modifying any output file at a new phase:
- Stage and commit current state:
git add [files] && git commit -m "stata-analyst: Phase N complete" - Then proceed with modifications.
Do NOT create version-suffixed copies (e.g., -v2, -final, -working). The git history serves as the version trail.
Core Principles
- Identification before estimation: Establish a credible research design before running any models. The estimator must match the identification strategy.
What ships with it
16 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.
- phases/phase0-design.md 4.3 KB
- phases/phase1-data.md 6.3 KB
- phases/phase2-specification.md 6.2 KB
- phases/phase3-analysis.md 9.6 KB
- phases/phase4-robustness.md 11 KB
- phases/phase5-output.md 12 KB
- techniques/00_data_prep.md 8.4 KB
- techniques/00_index.md 6.2 KB
- techniques/01_core_econometrics.md 12 KB
- techniques/02_survey_resampling.md 3.9 KB
- techniques/03_synthetic_control.md 4.0 KB
- techniques/04_visualization.md 7.5 KB
- techniques/05_best_practices.md 7.6 KB
- techniques/06_modeling_basics.md 7.7 KB
- techniques/07_postestimation_reporting.md 8.5 KB
- techniques/99_default_journal_pipeline.md 10 KB
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.
- 11d ago First seen · 283 lines · 46 tokens per session scan A 5499fa70f047
stata-analyst is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 12d ago), licensed MIT. It adds 46 tokens to every session and 2,195 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to r-analyst, differing in 84 lines, and is treated as a copy.
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