Menu
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.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
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.
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.
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.
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.
Multi-angle review of responses before delivery. Audits from 4 perspectives -- factual accuracy, logical consistency, completeness, and safety. Use for high-stakes responses where errors have real consequences.
Ensure every factual claim in a response is backed by verifiable evidence from the codebase, documentation, or external sources. Use when preparing technical documentation, code reviews, or any output where accuracy is non-negotiable.
| name | confidence-scorer |
| description | 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. |
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:
