quality-gate
Verify that every quantitative claim in the paper is traceable to an analysis output file, and that no important output was omitted. Make sure to use this skill whenever the user wants to check that the paper and analysis are consistent before submission. Triggers include: "run the quality gate", "check the paper matches the analysis", "verify consistency", "does the paper match my results", "check my numbers", "are my tables right", "quality check before submission", "verify my claims", "make sure everything is consistent", "double-check the paper against my output files", or any pre-submi
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill quality-gate --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Quality Gate: Paper ↔ Analysis Consistency Cross-check every numerical claim in the paper against analysis output files. Reports only — never edits. **Input:** `$ARGUMENTS` — path to the paper draft, or leave blank to auto-detect. --- ## Step 1: Locate the Paper Draft If `$ARGUMENTS` is provided, use that path. Otherwise glob for: - `manuscripts/**/*.tex` - `manuscripts/**/*.qmd` - `manuscripts/
What does the quality-gate skill do?
Verify that every quantitative claim in the paper is traceable to an analysis output file, and that no important output was omitted. Make sure to use this skill whenever the user wants to check that the paper and analysis are consistent before submission. Triggers include: "run the quality gate", "check the paper matches the analysis", "verify consistency", "does the paper match my results", "check my numbers", "are my tables right", "quality check before submission", "verify my claims", "make sure everything is consistent", "double-check the paper against my output files", or any pre-submi
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill quality-gate --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.