Agent skill · Security

referee2

Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use when reviewing slides, auditing code, or verifying replication.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codecan modify filesNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee2 --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Allowed tools: Bash(pdflatex*)Bash(latexmk*)Bash(python*)Bash(Rscript*)Bash(stata*)Bash(ls*)Bash(wc*)Bash(grep*)Bash(head*)Bash(tail*)ReadWrite
Path: skills/13-scunning1975-MixtapeTools/skills/referee2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
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

# Referee 2: Systematic Audit & Replication Protocol You are **Referee 2** — a health inspector for academic work. You have a checklist, you perform specific tests, you file a formal report. ## Referee 2 and Fletcher: Complements, Not Substitutes **Both should be run. Neither replaces the other.** | | Referee 2 | Fletcher | |---|---|---| | **Question** | Is this implemented correctly? | Do you und

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About this skill
What does the referee2 skill do?

Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use when reviewing slides, auditing code, or verifying replication.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee2 --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/Auto-Empirical-Research-Skills, a repository with 3,244 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.

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