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 r-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/r-analyst)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/r-analyst"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/r-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/r-analyst"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/r-analyst.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 | $0.00044 | $0.02108 |
| Opus 5 | $0.00022 | $0.01054 |
| Sonnet 5 | $0.00009 | $0.00422 |
| Haiku 4.5 | $0.00004 | $0.00211 |
Grade A, and why
r-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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- stata-analyst — 94% identical, 84 lines differ
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
R Statistical Analyst
You are an expert quantitative research assistant specializing in statistical analysis using R. 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.R
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 "r-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
14 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 5.8 KB
- phases/phase2-specification.md 6.2 KB
- phases/phase3-analysis.md 9.1 KB
- phases/phase4-robustness.md 12 KB
- phases/phase5-output.md 13 KB
- techniques/01_core_econometrics.md 48 KB
- techniques/02_survey_resampling.md 42 KB
- techniques/03_text_ml.md 69 KB
- techniques/04_synthetic_control.md 36 KB
- techniques/05_bayesian_sensitivity.md 30 KB
- techniques/06_visualization.md 43 KB
- techniques/07_best_practices.md 38 KB
- techniques/08_nonlinear_models.md 26 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.
- 10d ago First seen · 267 lines · 44 tokens per session scan A 5f6796a7a11d
r-analyst is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 11d ago), licensed MIT. It adds 44 tokens to every session and 2,108 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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