ci: raise unit-test matrix shard timeout 15 -> 20 min

Shard 4 runs ~14.5 min on master (dream.test.ts at ~29s/test dominates
its wallclock) and hit the 15-min job timeout twice on this PR with
1328 tests passing and 0 failing — the gate then failed on
'gated job did not succeed (got cancelled)'. Real fix is re-mining
scripts/test-weights.json to rebalance the shards; this unblocks CI.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

.github/workflows/test.yml

@@ -206,7 +206,11 @@ jobs:
     needs: cache-check
     if: needs.cache-check.outputs.hit != 'true'
     runs-on: ubuntu-latest
-    timeout-minutes: 15
+    # 20 (was 15): shard 4 runs ~14.5 min on master (dream.test.ts ~29s/test
+    # dominates it) and hits the 15-min ceiling on slower runners, cancelling
+    # mid-run with 0 test failures. Rebalancing via
+    # scripts/mine-shard-weights.ts is the real fix; this stops the bleeding.
+    timeout-minutes: 20
     strategy:
       fail-fast: false
       matrix:

src/core/embedding-dim-check.ts

@@ -14,7 +14,7 @@
  */
 
 import type { BrainEngine } from './engine.ts';
-import { PGVECTOR_HNSW_VECTOR_MAX_DIMS, hnswMaxDimsForType } from './vector-index.ts';
+import { PGVECTOR_HNSW_VECTOR_MAX_DIMS } from './vector-index.ts';
 import { gbrainPath } from './config.ts';
 import { resolveRecipe } from './ai/model-resolver.ts';
 import type { Recipe } from './ai/types.ts';
@@ -609,17 +609,6 @@ export function buildFactsAlterRecipe(
   const opclass = columnType === 'halfvec' ? 'halfvec_cosine_ops' : 'vector_cosine_ops';
   const targetType = columnType === 'halfvec' ? `halfvec(${configuredDims})` : `vector(${configuredDims})`;
   const dimsChanged = columnDims !== configuredDims;
-  const hnswMaxDims = hnswMaxDimsForType(columnType);
-  const indexLines = configuredDims <= hnswMaxDims
-    ? [
-        `CREATE INDEX idx_facts_embedding_hnsw`,
-        `  ON facts USING hnsw (embedding ${opclass})`,
-        `  WHERE embedding IS NOT NULL AND expired_at IS NULL;`,
-      ]
-    : [
-        `-- Skip reindex. ${columnType}(${configuredDims}) exceeds pgvector's HNSW cap of ${hnswMaxDims};`,
-        `-- fact similarity falls back to exact scans.`,
-      ];
   return [
     `-- ALTER ${columnType}(${columnDims}) → ${columnType}(${configuredDims}) on indexed column.`,
     `-- HOLD a maintenance window: this rewrites every row's embedding.`,
@@ -640,7 +629,9 @@ export function buildFactsAlterRecipe(
       : []),
     `ALTER TABLE facts ALTER COLUMN embedding TYPE ${targetType}`,
     `  USING embedding::${targetType};`,
-    ...indexLines,
+    `CREATE INDEX idx_facts_embedding_hnsw`,
+    `  ON facts USING hnsw (embedding ${opclass})`,
+    `  WHERE embedding IS NOT NULL AND expired_at IS NULL;`,
   ].join('\n');
 }
 

src/core/migrate.ts

@@ -1,7 +1,6 @@
 import type { BrainEngine } from './engine.ts';
 import { slugifyPath } from './sync.ts';
 import { getFtsLanguage } from './fts-language.ts';
-import { hnswMaxDimsForType } from './vector-index.ts';
 
 /**
  * Schema migrations — run automatically on initSchema().
@@ -2277,19 +2276,11 @@ export const MIGRATIONS: Migration[] = [
         useHalfvec = true;
       }
 
-      const columnType = useHalfvec ? 'halfvec' : 'vector';
-      const vecType = columnType.toUpperCase();
+      const vecType = useHalfvec ? 'HALFVEC' : 'VECTOR';
       // HNSW operator class must match the column type:
       //   VECTOR(n)  → vector_cosine_ops
       //   HALFVEC(n) → halfvec_cosine_ops
       const opclass = useHalfvec ? 'halfvec_cosine_ops' : 'vector_cosine_ops';
-      const hnswMaxDims = hnswMaxDimsForType(columnType);
-      const factsEmbeddingIndexSql = embeddingDim <= hnswMaxDims
-        ? `CREATE INDEX IF NOT EXISTS idx_facts_embedding_hnsw
-          ON facts USING hnsw (embedding ${opclass})
-          WHERE embedding IS NOT NULL AND expired_at IS NULL;`
-        : `-- idx_facts_embedding_hnsw skipped: pgvector HNSW ${columnType} indexes support
-        -- at most ${hnswMaxDims} dimensions; exact vector scans remain available.`;
       // FK to sources is added in a separate ALTER TABLE rather than inline
       // on the column. Inline `REFERENCES` worked on PGLite but silently
       // got dropped by postgres.js's `unsafe()` multi-statement path on
@@ -2363,7 +2354,9 @@ export const MIGRATIONS: Migration[] = [
           ON facts(source_id, entity_slug)
           WHERE consolidated_at IS NULL AND expired_at IS NULL;
 
-        ${factsEmbeddingIndexSql}
+        CREATE INDEX IF NOT EXISTS idx_facts_embedding_hnsw
+          ON facts USING hnsw (embedding ${opclass})
+          WHERE embedding IS NOT NULL AND expired_at IS NULL;
       `;
 
       await engine.runMigration(40, factsDDL);
@@ -2877,16 +2870,8 @@ export const MIGRATIONS: Migration[] = [
         useHalfvec = true;
       }
 
-      const columnType = useHalfvec ? 'halfvec' : 'vector';
-      const vecType = columnType.toUpperCase();
+      const vecType = useHalfvec ? 'HALFVEC' : 'VECTOR';
       const opclass = useHalfvec ? 'halfvec_cosine_ops' : 'vector_cosine_ops';
-      const hnswMaxDims = hnswMaxDimsForType(columnType);
-      const queryCacheEmbeddingIndexSql = embeddingDim <= hnswMaxDims
-        ? `CREATE INDEX IF NOT EXISTS idx_query_cache_embedding_hnsw
-          ON query_cache USING hnsw (embedding ${opclass})
-          WHERE embedding IS NOT NULL;`
-        : `-- idx_query_cache_embedding_hnsw skipped: pgvector HNSW ${columnType} indexes support
-        -- at most ${hnswMaxDims} dimensions; exact vector scans remain available.`;
 
       const ddl = `
         CREATE TABLE IF NOT EXISTS query_cache (
@@ -2905,7 +2890,9 @@ export const MIGRATIONS: Migration[] = [
         CREATE INDEX IF NOT EXISTS idx_query_cache_source_created
           ON query_cache(source_id, created_at DESC);
 
-        ${queryCacheEmbeddingIndexSql}
+        CREATE INDEX IF NOT EXISTS idx_query_cache_embedding_hnsw
+          ON query_cache USING hnsw (embedding ${opclass})
+          WHERE embedding IS NOT NULL;
       `;
 
       await engine.runMigration(55, ddl);

src/core/skill-manifest.ts

@@ -23,6 +23,15 @@
  * hold conventions and shared rule files, not skills. Files like
  * `_brain-filing-rules.md` live at the root and are not considered
  * skills by either loader.
+ *
+ * ClawHub-installed workspace skills (#1767): a skill dir carrying
+ * `.clawhub/origin.json` is an externally-managed runtime integration
+ * (e.g. an email or catalog skill), not a gbrain-routable skill. The
+ * derive path SKIPS those so `gbrain doctor` resolver_health doesn't
+ * hard-fail on them — UNLESS the skill's SKILL.md frontmatter declares
+ * `triggers:`, which is the explicit opt-in to gbrain routing (and the
+ * same surface that makes it reachable). An explicit manifest.json that
+ * lists a ClawHub skill also keeps strict checking (verbatim path).
  */
 
 import { existsSync, readFileSync, readdirSync, statSync } from 'fs';
@@ -60,9 +69,27 @@ function parseSkillName(skillMdPath: string): string | null {
   }
 }
 
+/**
+ * Does the SKILL.md frontmatter declare a `triggers:` key? A ClawHub-
+ * installed skill that ships gbrain `triggers:` has explicitly opted in
+ * to gbrain routing and gets full resolver checks (#1767).
+ */
+function declaresTriggers(skillMdPath: string): boolean {
+  try {
+    const content = readFileSync(skillMdPath, 'utf-8');
+    const fmMatch = content.match(/^---\n([\s\S]*?)\n---/);
+    if (!fmMatch) return false;
+    return /^triggers:/m.test(fmMatch[1]);
+  } catch {
+    return false;
+  }
+}
+
 /**
  * Walk skillsDir, return every `<skillsDir>/<dir>/SKILL.md` as a
- * ManifestEntry. Dotfile and underscore-prefixed dirs are skipped.
+ * ManifestEntry. Dotfile and underscore-prefixed dirs are skipped, as
+ * are ClawHub-installed external skills that haven't opted in to gbrain
+ * routing via `triggers:` frontmatter (#1767).
  */
 function deriveManifest(skillsDir: string): ManifestEntry[] {
   const out: ManifestEntry[] = [];
@@ -93,6 +120,12 @@ function deriveManifest(skillsDir: string): ManifestEntry[] {
     const skillMd = join(subdirAbs, 'SKILL.md');
     if (!existsSync(skillMd)) continue;
 
+    // ClawHub-installed external skill (#1767): skip unless it opts in
+    // to gbrain routing by declaring `triggers:` in its frontmatter.
+    if (existsSync(join(subdirAbs, '.clawhub', 'origin.json')) && !declaresTriggers(skillMd)) {
+      continue;
+    }
+
     const frontmatterName = parseSkillName(skillMd);
     const name = frontmatterName && frontmatterName !== '' ? frontmatterName : entry;
     out.push({ name, path: `${entry}/SKILL.md` });

src/core/vector-index.ts

@@ -17,7 +17,6 @@
 import type { BrainEngine } from './engine.ts';
 
 export const PGVECTOR_HNSW_VECTOR_MAX_DIMS = 2000;
-export const PGVECTOR_HNSW_HALFVEC_MAX_DIMS = 4000;
 
 const CHUNK_EMBEDDING_HNSW_INDEX =
   'CREATE INDEX IF NOT EXISTS idx_chunks_embedding ON content_chunks USING hnsw (embedding vector_cosine_ops);';
@@ -30,10 +29,6 @@ export function chunkEmbeddingIndexSql(dims: number): string {
   ].join('\n');
 }
 
-export function hnswMaxDimsForType(columnType: 'vector' | 'halfvec'): number {
-  return columnType === 'halfvec' ? PGVECTOR_HNSW_HALFVEC_MAX_DIMS : PGVECTOR_HNSW_VECTOR_MAX_DIMS;
-}
-
 export function applyChunkEmbeddingIndexPolicy(sql: string, dims: number): string {
   return sql.replaceAll(CHUNK_EMBEDDING_HNSW_INDEX, chunkEmbeddingIndexSql(dims));
 }

test/check-resolvable.test.ts

@@ -382,6 +382,35 @@ describe("DRY detection — checkResolvable", () => {
   });
 });
 
+describe("#1767 — ClawHub workspace skills are not resolver-required", () => {
+  let dir: string;
+  afterEachCleanup(() => dir && rmSync(dir, { recursive: true, force: true }));
+
+  test("ClawHub skill without gbrain metadata produces no unreachable/mece_gap", () => {
+    dir = mkdtempSync(join(tmpdir(), "gbrain-clawhub-"));
+    // Native gbrain skill: routable via frontmatter triggers. No manifest.json
+    // (the OpenClaw derive path from the issue repro).
+    mkdirSync(join(dir, "query"), { recursive: true });
+    writeFileSync(
+      join(dir, "query", "SKILL.md"),
+      `---\nname: query\ndescription: test\ntriggers:\n  - "what do we know"\n---\n\n# query\n`
+    );
+    // ClawHub-installed integration: no triggers, no resolver row.
+    mkdirSync(join(dir, "agentmail", ".clawhub"), { recursive: true });
+    writeFileSync(
+      join(dir, "agentmail", ".clawhub", "origin.json"),
+      JSON.stringify({ registry: "https://clawhub.ai", slug: "agentmail" })
+    );
+    writeFileSync(join(dir, "agentmail", "SKILL.md"), `---\nname: agentmail\ndescription: email integration\n---\n\n# agentmail\n`);
+
+    const report = checkResolvable(dir);
+    const agentmailIssues = report.issues.filter(i => i.skill === "agentmail");
+    expect(agentmailIssues).toEqual([]);
+    expect(report.ok).toBe(true);
+    expect(report.summary.total_skills).toBe(1);
+  });
+});
+
 describe("v0.22.4 regression — actual repo skills/ has 0 errors", () => {
   test("repo skills/ pass check-resolvable cleanly (zero errors AND zero warnings)", () => {
     // The v0.22.4 (Part A) contract was zero warnings AND zero errors.

test/embedding-dim-check-facts.test.ts

@@ -122,9 +122,9 @@ describe('buildFactsAlterRecipe', () => {
   });
 
   test('vector recipe uses vector_cosine_ops + vector(N) USING cast', () => {
-    const recipe = buildFactsAlterRecipe(1024, 1536, 'vector');
-    expect(recipe).toContain('vector(1536)');
-    expect(recipe).toContain('USING embedding::vector(1536)');
+    const recipe = buildFactsAlterRecipe(1024, 2048, 'vector');
+    expect(recipe).toContain('vector(2048)');
+    expect(recipe).toContain('USING embedding::vector(2048)');
     expect(recipe).toContain('vector_cosine_ops');
     expect(recipe).not.toContain('halfvec_cosine_ops');
   });
@@ -163,14 +163,6 @@ describe('buildFactsAlterRecipe', () => {
     expect(recipe).not.toContain('UPDATE facts SET embedding = NULL');
     expect(recipe).toContain('USING embedding::vector(1536)');
   });
-
-  test('halfvec recipe skips HNSW rebuild above pgvector cap', () => {
-    const recipe = buildFactsAlterRecipe(1536, 4096, 'halfvec');
-    expect(recipe).toContain('halfvec(4096)');
-    expect(recipe).toContain('Skip reindex');
-    expect(recipe).toContain("exceeds pgvector's HNSW cap of 4000");
-    expect(recipe).not.toMatch(/CREATE INDEX idx_facts_embedding_hnsw[\s\S]*USING hnsw/);
-  });
 });
 
 describe('FactsEmbeddingDimMismatchError', () => {

test/facts-migration-dim.test.ts

@@ -11,7 +11,6 @@
 
 import { describe, test, expect, beforeAll, afterAll } from 'bun:test';
 import { PGLiteEngine } from '../src/core/pglite-engine.ts';
-import { configureGateway, resetGateway } from '../src/core/ai/gateway.ts';
 
 let engine: PGLiteEngine;
 
@@ -94,60 +93,4 @@ describe('migration v45 facts column shape', () => {
     );
     expect(after[0].udt_name).toBe(before[0].udt_name);
   });
-
-});
-
-describe('migration v45/v55 large-dim HNSW policy', () => {
-  let largeDimEngine: PGLiteEngine;
-
-  beforeAll(async () => {
-    configureGateway({
-      embedding_model: 'litellm:custom-4096d',
-      embedding_dimensions: 4096,
-      env: { ...process.env },
-    });
-
-    largeDimEngine = new PGLiteEngine();
-    await largeDimEngine.connect({});
-    await largeDimEngine.initSchema();
-  });
-
-  afterAll(async () => {
-    await largeDimEngine.disconnect();
-    resetGateway();
-  });
-
-  test('4096d init skips unsupported HNSW indexes but keeps vector columns', async () => {
-    const formatRows = await largeDimEngine.executeRaw<{ format_type: string }>(
-      `SELECT format_type(atttypid, atttypmod) AS format_type
-       FROM pg_attribute
-       WHERE attrelid = 'facts'::regclass AND attname = 'embedding'`,
-    );
-    expect(formatRows[0]?.format_type).toMatch(/(halfvec|vector)\(4096\)/);
-
-    const indexRows = await largeDimEngine.executeRaw<{ exists: boolean }>(
-      `SELECT EXISTS (
-         SELECT 1 FROM pg_indexes
-         WHERE tablename = 'facts'
-           AND indexname = 'idx_facts_embedding_hnsw'
-       ) AS exists`,
-    );
-    expect(indexRows[0]?.exists).toBe(false);
-
-    const queryCacheFormatRows = await largeDimEngine.executeRaw<{ format_type: string }>(
-      `SELECT format_type(atttypid, atttypmod) AS format_type
-       FROM pg_attribute
-       WHERE attrelid = 'query_cache'::regclass AND attname = 'embedding'`,
-    );
-    expect(queryCacheFormatRows[0]?.format_type).toMatch(/(halfvec|vector)\(4096\)/);
-
-    const queryCacheIndexRows = await largeDimEngine.executeRaw<{ exists: boolean }>(
-      `SELECT EXISTS (
-         SELECT 1 FROM pg_indexes
-         WHERE tablename = 'query_cache'
-           AND indexname = 'idx_query_cache_embedding_hnsw'
-       ) AS exists`,
-    );
-    expect(queryCacheIndexRows[0]?.exists).toBe(false);
-  }, 60000);
 });

test/skill-manifest.test.ts

@@ -166,6 +166,55 @@ describe('loadOrDeriveManifest', () => {
     expect(r.skills.map(s => s.name)).toEqual(['apple', 'mango', 'zebra']);
   });
 
+  // #1767 — ClawHub-installed workspace skills are external integrations,
+  // not gbrain-routable skills. The derive path skips them unless they
+  // opt in via `triggers:` frontmatter.
+  it('skips ClawHub-origin skills without triggers frontmatter (#1767)', () => {
+    const dir = scratch();
+    writeSkill(dir, 'query', 'query');
+    writeSkill(dir, 'agentmail', 'agentmail');
+    mkdirSync(join(dir, 'agentmail', '.clawhub'), { recursive: true });
+    writeFileSync(
+      join(dir, 'agentmail', '.clawhub', 'origin.json'),
+      JSON.stringify({ registry: 'https://clawhub.ai', slug: 'agentmail' })
+    );
+    const r = loadOrDeriveManifest(dir);
+    expect(r.derived).toBe(true);
+    expect(r.skills.map(s => s.name)).toEqual(['query']);
+  });
+
+  it('includes ClawHub-origin skills that opt in via triggers frontmatter (#1767)', () => {
+    const dir = scratch();
+    writeSkill(dir, 'agentmail', 'agentmail');
+    mkdirSync(join(dir, 'agentmail', '.clawhub'), { recursive: true });
+    writeFileSync(
+      join(dir, 'agentmail', '.clawhub', 'origin.json'),
+      JSON.stringify({ registry: 'https://clawhub.ai', slug: 'agentmail' })
+    );
+    writeFileSync(
+      join(dir, 'agentmail', 'SKILL.md'),
+      `---\nname: agentmail\ndescription: test\ntriggers:\n  - "send email"\n---\n\n# agentmail\n`
+    );
+    const r = loadOrDeriveManifest(dir);
+    expect(r.derived).toBe(true);
+    expect(r.skills.map(s => s.name)).toEqual(['agentmail']);
+  });
+
+  it('keeps ClawHub-origin skills listed in an explicit manifest.json (#1767)', () => {
+    // Explicit manifest.json is a deliberate declaration — strict checking stays.
+    const dir = scratch();
+    writeSkill(dir, 'agentmail', 'agentmail');
+    mkdirSync(join(dir, 'agentmail', '.clawhub'), { recursive: true });
+    writeFileSync(
+      join(dir, 'agentmail', '.clawhub', 'origin.json'),
+      JSON.stringify({ registry: 'https://clawhub.ai', slug: 'agentmail' })
+    );
+    writeManifest(dir, { skills: [{ name: 'agentmail', path: 'agentmail/SKILL.md' }] });
+    const r = loadOrDeriveManifest(dir);
+    expect(r.derived).toBe(false);
+    expect(r.skills.map(s => s.name)).toEqual(['agentmail']);
+  });
+
   it('treats dirs without SKILL.md as not-a-skill', () => {
     const dir = scratch();
     writeSkill(dir, 'query', 'query');