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.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Assign a numerical confidence score to every claim, so users know exactly how much to trust each part of your response.
| 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" |
After making claims, add confidence annotations:
"The authentication flow works as follows:
| Situation | Minimum score to state as fact |
|---|---|
| Code changes | 80+ (must have read the code) |
| Security advice | 90+ (must have verified) |
| Production commands | 95+ (must be certain) |
| Explanations | 60+ (inference OK if labeled) |
| Suggestions | 40+ (clearly framed as suggestions) |
Use confidence scoring when:
If a claim scores below the threshold:
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Complete methodology for preventing AI hallucinations. Use when accuracy is critical and you need Claude to verify before claiming, cite before asserting, and admit uncertainty instead of guessing.
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Transform rough ideas into solid designs through structured questioning
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Canvas API Connection Skill
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Forces every code-related claim to include file:line citations. No citation means the claim must be verified or removed. Use when building documentation, writing code reviews, or any output that others will rely on.
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Forces Claude to extract exact quotes from files before making claims about them. Prevents hallucinations by grounding every statement in actual text from the codebase. Use when working with large files or unfamiliar code.
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Verify every claim from multiple independent angles -- code, docs, tests, git history. Use when you need high confidence that something is correct before acting on it.
中文简介正在准备中。当前显示原文说明。