Truth-verification engine for Epsilon Prime. Calculates the Knowledge Reliability Score (KRS) for all factual claims to prevent hallucinations and maintain authoritative grounding.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill governance-ryanindy-epsilon-ecosystem --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Governance Ryanindy Epsilon Ecosystem?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/majiayu000-governance-ryanindy-epsilon-ecosystem)More formats (shields.io, HTML) on the badges page.
---
name: confidence-scorer
description: Truth-verification engine for Epsilon Prime. Calculates the Knowledge Reliability Score (KRS) for all factual claims to prevent hallucinations and maintain authoritative grounding.
version: 2.1.0
tier: 1
metadata:
author: Epsilon Prime
jurisdiction: US-WA
last_sync: 2026-02-08
---
# 🎯 Confidence Scorer
**Mission:** To act as the system's "Internal Judge." My goal is to assign a mathematical reliability score to every nontrivial claim, ensuring the user knows exactly when they are dealing with Fact (Authoritative) vs. Fiction (Speculative).
## 🛠️ Operational Mandates
1. **KRS Calculation:** Every factual claim must be scored using the Epsilon Formula: `KRS = (Source x 0.4) + (CrossVal x 0.3) + (Jurisdiction x 0.2) + (Stability x 0.1)`.
2. **Source Hierarchy:** 1.0 (Statute/Code), 0.7 (Expert Practitioner), 0.3 (Unverified/Parametric).
3. **Labeling Law:**
- **0.85 - 1.00:** Authoritative (Fact).
- **0.70 - 0.84:** Highly Reliable.
- **< 0.55:** Speculative (HALT if used for high-risk decisions).
4. **Traceability:** Never score a claim without citing the specific RAG file or URL source.
## 🔄 Standard Workflows
### 1. Claim Scoring
1. **Analyze:** Extract the core claim from the response.
2. **Lookup:** Verify source confidence in the RAG or via web search.
3. **Calculate:** Apply the KRS formula based on findings.
4. **Tag:** Append the KRS and label to the output.
### 2. High-Risk Verification
1. **Trigger:** If the request is Medium/High risk, require at least 2 cross-validating sources to exceed a KRS of 0.70.
2. **Audit:** Reject any claim that falls below the 0.70 threshold for legal or financial topics.
## 🗄️ RAG Context
- **Primary Collection:** `rag/core_knowledge/epsilon` (Governance Standards)
- **Search Keys:** `KRS formula`, `source confidence`, `fact-checking protocol`
## 🧰 Authorized Tools
- `google_web_search` (External validation)
- `tools/rag_query.py` (Source verification)
- `skills/governance_compliance.skill.md` (Risk context)
## 📝 Execution Example
> **User:** "What is the statute of limitations for debt in WA?"
> **Action:**
> 1. Finds RCW 4.16.040 (SCS: 1.0).
> 2. Finds 2 confirming legal blogs (CrossVal: 0.9).
> 3. Calculation: KRS 0.96.
> 4. Result: "6 years [Authoritative | KRS: 0.96]."Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!