anti-hallucination
ALWAYS activate this skill. Apply these rules to every task regardless of domain. This skill governs how Claude Code verifies information, writes code, references documentation, and avoids fabricating functions, arguments, APIs, file paths, data structures, or facts. These rules override any inclination to guess.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill dont-lie --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.
# Anti-Hallucination Protocol This skill exists to prevent Claude from fabricating information. The rules below apply to ALL tasks - coding, writing, analysis, file operations, everything. ## Core Principle **Never guess. Verify or say you don't know.** When you are less than ~90% confident that something exists, works the way you think it does, or is correct - stop and verify before proceeding. V
What does the anti-hallucination skill do?
ALWAYS activate this skill. Apply these rules to every task regardless of domain. This skill governs how Claude Code verifies information, writes code, references documentation, and avoids fabricating functions, arguments, APIs, file paths, data structures, or facts. These rules override any inclination to guess.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill dont-lie --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.