/**
 * ATR Quality Standard — Confidence Scoring
 *
 * Pure function implementing the RFC-001 §2 confidence formula:
 *
 *   confidence = round(
 *       precision_score    * 0.40
 *     + wild_validation    * 0.30
 *     + coverage_score     * 0.20
 *     + evasion_docs       * 0.10
 *   )
 *
 * @module agent-threat-rules/quality/compute-confidence
 */
import type { ConfidenceScore, DeploymentRecommendation, RuleMetadata } from "./types.js";
/**
 * Compute the confidence score for a rule.
 *
 * Score is in [0, 100]. Higher is more trustworthy.
 *
 * @param rule - Rule metadata (vendor-agnostic)
 * @returns Score breakdown and total
 */
export declare function computeConfidence(rule: RuleMetadata): ConfidenceScore;
/**
 * Map a confidence score to a deployment recommendation.
 *
 * This is the consumer-facing signal: "should I deploy this rule in
 * blocking mode, alert mode, or not at all?"
 */
export declare function deploymentFor(score: number): DeploymentRecommendation;
/**
 * Apply the cross-context penalty to a match's contribution.
 *
 * When a rule designed for one scan context (e.g. MCP runtime) fires in
 * a different context (e.g. SKILL.md static scan), the match's contribution
 * is downweighted by 0.7. This prevents cross-context noise from inflating
 * overall detection confidence.
 *
 * @param score - The base confidence score of the rule
 * @param isCrossContext - True if the match is outside the rule's native context
 * @returns Adjusted score
 */
export declare function applyCrossContextPenalty(score: number, isCrossContext: boolean): number;
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