Agent skill · Testing & QA

jar-topic-selection

Use when choosing or sharpening a research question for a Journal of Accounting Research (JAR) manuscript — testing whether it is a real accounting question with a credible setting, JAR fit, and identification potential before any data work begins. Locks the question; it does not build the mechanism (jar-theory-development) or design the test (jar-methods).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jar-topic-selection --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Journal-of-Accounting-Research-Skills/skills/jar-topic-selection/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Topic Selection & JAR Fit (jar-topic-selection) ## When to trigger - You have a dataset or a setting but not yet a question that matters for accounting - You are unsure whether the idea fits JAR versus TAR, JAE, RAST, or CAR - The question is "is X correlated with Y?" with no clear stakes for accounting - You are deciding whether to target the **Ray Ball JAR Annual Conference** or the **Registered Reports** track ## What JAR is looking for JAR publishes original research in all areas of accounting and accounting-related topics, drawing on finance, economics, statistics, psychology, and sociology. The journal's gravitational center is **empirical-archival capital-markets** research in the **Ball-Brown** tradition: how accounting information is produced, disclosed, audited, and used by investors, analysts, creditors, regulators, and managers. A JAR-fit question almost always (a) concerns an accounting/disclosure/auditing/standard-setting phenomenon, (b) lives in a setting with a **credible source of identifying variation** (a standard change, a regulation, a discontinuity, a shock), and (c) has clear **economic stakes** — it changes how we think information flows into prices, contr

What's inside
Steps it walks through
  1. When to trigger
  2. What JAR is looking for
  3. The fit test (run before collecting data)
  4. Sourcing strong JAR questions
  5. Checklist
  6. Anti-patterns
  7. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the jar-topic-selection skill do?

Use when choosing or sharpening a research question for a Journal of Accounting Research (JAR) manuscript — testing whether it is a real accounting question with a credible setting, JAR fit, and identification potential before any data work begins. Locks the question; it does not build the mechanism (jar-theory-development) or design the test (jar-methods).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jar-topic-selection --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going