empirical-playbook

empirical-playbook is a skill for Claude Code from James-Traina/compound-science. It costs 105 tokens per session (3,209 once invoked), scanned A, original, MIT.

A reference skill for applied microeconomic research, which studies people, firms, and policies using real-world data. It covers research design, causal methods, diagnostics, statistical power, reporting, and data sources.

In plain words
What is it for?
Use it to choose an identification strategy, compare estimators, design a study, run diagnostics, calculate statistical power, evaluate an empirical strategy, or obtain macroeconomic and cross-country data.
Why use it?
It helps match an empirical question and dataset to a defensible method and points out relevant checks and common pitfalls. It also clarifies when a specialized method or research skill is more appropriate.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the compound-science plugin — 20 skills shipped together

Good fit Use it to choose an identification strategy, compare estimators, design a study, run diagnostics, calculate statistical power, evaluate an empirical strategy, or obtain macroeconomic and cross-country data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/james-traina/compound-science/empirical-playbook
Install

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.

Any agent
npx skills add James-Traina/compound-science --skill empirical-playbook
Clone the repo
git clone --depth 1 https://github.com/James-Traina/compound-science

Made for: Claude Code.

Or install compound-science, the plugin that ships this one along with the rest of its 20 skills.

Wrote 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.

agentmods badge for empirical-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/james-traina/compound-science/empirical-playbook/github.svg)](https://agentmods.dev/skills/james-traina/compound-science/empirical-playbook)
Your own site
<a href="https://agentmods.dev/skills/james-traina/compound-science/empirical-playbook"><img src="https://agentmods.dev/badge/skills/james-traina/compound-science/empirical-playbook/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.

agentmods 80×15 button for empirical-playbook

Your own site · 80×15
<a href="https://agentmods.dev/skills/james-traina/compound-science/empirical-playbook"><img src="https://agentmods.dev/badge/skills/james-traina/compound-science/empirical-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,209 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.03209
Opus 5 $0.00053 $0.01605
Sonnet 5 $0.00021 $0.00642
Haiku 4.5 $0.00011 $0.00321

Measured 10d ago against content hash ebca7758d0c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

empirical-playbook 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.

skills/empirical-playbook/SKILL.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Applied Micro Toolkit

Reference for applied micro research design: method selection, diagnostics, inference, pitfalls, reporting standards, and power analysis.

When to Use This Skill

Use when the user is:

  • Choosing between empirical methods for a causal question
  • Evaluating which identification strategy fits their data and setting
  • Running standard diagnostic tests and unsure which ones apply
  • Designing a study and needs to calculate statistical power
  • Reviewing or critiquing an empirical strategy
  • Preparing the "Empirical Strategy" section of a paper
  • Downloading macroeconomic or cross-national data (see references/data-sources.md for FRED/World Bank API access)

Skip when:

  • Implementation details for a specific method are needed (use causal-inference skill for IV, DiD, RDD, SC, matching)
  • The task is structural estimation (use structural-modeling skill)
  • The task is manuscript preparation or journal logistics (use submission-guide skill)
  • The task is formal identification proof (use identification-proofs skill)
  • The task is Bayesian model specification (use bayesian-estimation skill)

After selecting a method, the econometric-reviewer agent can review the implementation and the identification-critic agent can evaluate the identification argument.

Method Selection Decision Tree

Start with the fundamental question: What source of variation identifies the causal effect?

Step 1: What is your source of variation?

Source of Variation Method Family Key Assumption
Randomized assignment (with full compliance) Experimental analysis (OLS on treatment indicator) Random assignment
Randomized assignment (with imperfect compliance) IV / 2SLS using random assignment as instrument Exclusion restriction, monotonicity
Policy change at a sharp threshold Sharp RDD Continuity of potential outcomes at cutoff
Policy change at a threshold with imperfect compliance Fuzzy RDD (= IV at the cutoff) Continuity + monotonicity at cutoff
Policy change at a point in time, with affected and unaffected groups Difference-in-differences Parallel trends
Staggered policy adoption across units over time Staggered DiD (Callaway-Sant'Anna, Sun-Abraham, etc.) Parallel trends (conditional on group and time)
Rare event affecting a single unit, long pre-treatment data Synthetic control Pre-treatment fit implies post-treatment counterfactual
Exogenous shifter of treatment that does not affect outcome directly IV / 2SLS / GMM Exclusion restriction, relevance, monotonicity
Rich set of observables that plausibly captures all confounders Matching, IPW, AIPW (selection on observables) Conditional independence (no unobserved confounders)
No credible exogenous variation Sensitivity analysis, bounds, partial identification Depends on bounding assumptions

Read the full file on GitHub · 247 lines

Files

What ships with it

5 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.

Changes

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.

  1. 10d ago First seen · 247 lines · 105 tokens per session scan A ebca7758d0c6

Subscribe to this mod's changes

empirical-playbook is a skill published in the GitHub repository James-Traina/compound-science (13 stars, last pushed 5mo ago), licensed MIT. It adds 105 tokens to every session and 3,209 once invoked, about $0.0005 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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