confidence-scorer
Assign confidence scores (0-100) to every claim in a response. Helps users understand which parts are verified facts and which are educated guesses. Use when the user needs to know how much to trust each part of the answer.
npx skills add majiayu000/claude-skill-registry --skill confidence-scorer --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.
# Confidence Scorer Assign a numerical confidence score to every claim, so users know exactly how much to trust each part of your response. ## Scoring scale | Score | Meaning | Example | |-------|---------|---------| | 95-100 | Verified against code just now | "src/auth.ts exports validateToken (I just read it)" | | 80-94 | Confirmed by search/tool output | "Grep found 3 references to this function" | | 60-79 | Strong inference from evidence | "Based on the error handling pattern, this likely..." | | 40-59 | Educated guess from general knowledge | "Express middleware typically handles this by..." | | 20-39 | Uncertain, limited evidence | "This might be related to the session config..." | | 0-19 | Speculation, no evidence | "It could be a race condition, but I haven't checked" | ## How to apply After making claims, add confidence annotations: "The authentication flow works as follows: - Users hit /api/login which calls validateUser() [95 - read the route file] - Passwords are hashed with bcrypt [90 - confirmed in package.json] - Sessions are stored in Redis [70 - inferred from redis import, haven't confirmed config] - Session timeout is 24 hours [40 - common default, haven't checked
- Scoring scale
- How to apply
- Threshold rules
- When to score
- Improving low scores
What does the confidence-scorer skill do?
Assign confidence scores (0-100) to every claim in a response. Helps users understand which parts are verified facts and which are educated guesses. Use when the user needs to know how much to trust each part of the answer.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill confidence-scorer --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 majiayu000/claude-skill-registry, a repository with 534 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.