fix(scorer): require all framework dimensions in knowledgeEntrySchema

z.record(dimKeyEnum, ...) validates key names but does not require every
enum key to be present.  Added superRefine to reject entries that omit
any declared dimension — fixing the failing schema.test.ts assertion.

Bump all packages to 0.3.2.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: faical-yannick-congo

package-lock.json

@@ -1,6 +1,6 @@
 {
   "name": "fluently-cli",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "main": "src/index.ts",
   "bin": {
     "fluent": "dist/index.js"

packages/cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "fluently-mcp-server",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "description": "MCP server for the Fluently framework. Exposes knowledge retrieval and contribution tools so any AI agent (Claude, GPT, Gemini, Mistral, Copilot…) can find, reason over, and extend Fluently cycles.",
   "main": "dist/index.js",
   "types": "dist/index.d.ts",

packages/mcp-server/package.json

@@ -1,6 +1,6 @@
 {
   "name": "fluently-scorer",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "description": "Zero-dependency scoring and validation engine for human-AI collaboration frameworks. Validates knowledge cycles, ranks them by similarity, and evaluates framework compliance. Bundles the AI Fluency 4D Framework; any framework with named dimensions can be registered.",
   "main": "dist/index.js",
   "types": "dist/index.d.ts",

packages/scorer/package.json

@@ -178,7 +178,13 @@ export function buildKnowledgeSchemas(framework: FrameworkDefinition) {
     framework_id: z.string().default(framework.id),
     title: z.string(),
     domain: domainEnum,
-    dimensions: z.record(dimKeyEnum, dimensionValueSchema),
+    dimensions: z.record(dimKeyEnum, dimensionValueSchema).superRefine((dims, ctx) => {
+      for (const key of keys) {
+        if (!(key in dims)) {
+          ctx.addIssue({ code: z.ZodIssueCode.custom, message: `Missing required dimension: ${key}` });
+        }
+      }
+    }),
     score_hints: z.record(dimKeyEnum, z.number().min(0).max(1)).refine(
       obj => Math.abs(Object.values(obj).reduce((a: number, b: number) => a + b, 0) - 1) < 1e-9,
       { message: "Dimension weights must sum to 1" }