/**
 * @fileoverview Canonical quality score computation for skills
 * @module @skillsmith/core/scoring/quality-score
 * @see SMI-3864: Security-informed quality scoring
 *
 * Computes a quality score (0-1) for a skill based on:
 * - Security health (30%)
 * - Documentation quality (35%, including examples signal)
 * - Provenance (25%)
 * - Completeness (10%)
 *
 * This is the single canonical formula. All callers (indexer, install,
 * import scripts) should use this function instead of ad-hoc formulas.
 */
/**
 * Input signals for quality score computation.
 * All fields are optional-friendly — null/undefined/0 get partial or zero credit.
 */
export interface QualityScoreInput {
    /** Risk score from SecurityScanner (0-100). Null if not scanned. */
    riskScore: number | null;
    /** Number of security findings */
    securityFindingsCount: number;
    /** Whether security scan passed */
    securityPassed: boolean | null;
    /** Skill description text (for length scoring) */
    description: string | null;
    /** Number of tags */
    tagCount: number;
    /** Whether the skill has a repo URL */
    hasRepoUrl: boolean;
    /** Author name present */
    hasAuthor: boolean;
    /** Trust tier */
    trustTier: string;
    /** Whether the skill has examples (examples.md or ## Examples section) */
    hasExamples: boolean;
}
/**
 * Compute a quality score (0-1) for a skill based on multiple signals.
 *
 * Weight distribution (Review #12):
 * - Security health: 30% (reduced from 40% to avoid double-counting with riskScore)
 * - Documentation quality: 35% (increased, added hasExamples signal)
 * - Provenance: 25%
 * - Completeness: 10%
 */
export declare function computeQualityScore(input: QualityScoreInput): number;
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