@blundergoat/goat-flow
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AI coding agent harness and local dashboard for Claude Code, OpenAI Codex, Google Antigravity, and GitHub Copilot - setup audits, guardrails, structured skills, deny hooks, and persistent learning loops.
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TypeScript
/**
* Subtype classification for skill-quality scoring: given an artifact and its content, score it
* against every candidate subtype (name patterns, heading patterns, must-not-have vetoes) and pick
* the dominant match, with a confidence figure that signals how clearly it won.
*
* Two independent passes live here. The scoring pass (`classifyArtifact`) selects the profile that
* drives the rubric; a separate semantic shape pass exists to catch misfiled artifacts whose
* content does not match the profile they were scored under. Detection order is fixed per kind so
* higher-priority subtypes win ties deterministically.
*/
import type { QualityConfig } from "./quality-config.js";
import type { ArtifactEntry, ClassificationResult, ShapeDetectionResult } from "./skill-quality-types.js";
/**
* Classify an artifact across all candidate subtypes. The detected subtype
* is the highest-scoring match; confidence is `top / (top + second)` to
* communicate how dominant the leading subtype is.
*
* @param artifact - inventory record; its `kind` selects the fixed subtype detection order.
* @param content - raw artifact text matched against name/heading patterns and must-not-have vetoes.
* @param config - quality config supplying each subtype's detection rules and profiles.
* @returns the winning subtype with confidence and the ranked alternatives kept for reviewer
* context; confidence near 0.3 flags a fallback-only match that needs human subtype review.
*/
export declare function classifyArtifact(artifact: ArtifactEntry, content: string, config: QualityConfig): ClassificationResult;
export declare function detectArtifactShape(artifact: ArtifactEntry, content: string): ShapeDetectionResult;
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