Create Recursive Language Model skill epic #84
Conversation
Add comprehensive task epic for building RLM skill that applies MIT's Recursive Language Model strategies to AI agent codebase exploration. Epic includes 7 tasks covering research, design, implementation of fan-out search, SQLite indexing, and SudoLang skill specification.
Research findings include: - Agent Skills specification from agentskills.io - MIT RLM paper analysis (arXiv 2512.24601) - Implementation architecture for aidd framework - Complete SQLite database design with FTS5 Documents recursive language model strategies for deep codebase exploration through hierarchical task decomposition.
Replace single RLM epic with comprehensive phase-based approach: Phase 1: SQLite Foundation + Indexing + Fan-out Search - Database schema for documents, dependencies, productmanager - Frontmatter and dependency indexers with TDD - Fan-out search combining keyword, semantic, structured - CLI query and indexing tools Phase 2: Jiron DB API Skill - Generic skill for SudoLang → Jiron API generation - SQLite query bridge and middleware integration - Fan-out search exposed via Jiron endpoints - Includes ai/skills/jiron skill to teach agents Jiron protocol Phase 3: Frontmatter Index Jiron API - Apply Jiron DB API skill to frontmatter/codebase index - Self-documenting API with progressive discovery - Search and traversal endpoints with rich queries Phase 4: ProductManager Skill Conversion - Convert ai/rules/productmanager.mdc to full skill - Jiron API for story maps with SQLite as source of truth - Import existing YAML, export on demand - Database-backed workflows Phase 5: RLM Skill - Recursive exploration through hierarchical decomposition - Orchestrates all previous phases - User journey documented with pain points - Always-surfaced skill with agent self-direction Archived original RLM epic for reference.
Analyzed 2026-01-20-claude-code-skills branch to check for conflicts with our Phase 1-5 RLM + DB + Jiron epic plans. Key findings: - No blocking conflicts (.claude/ vs ai/ directories) - janhesters built YAML-based skills for Claude Code - Our approach adds SQLite + Jiron APIs + RLM on top - Different problem spaces that complement each other - Both can coexist and potentially converge later Recommendation: Proceed with all 5 phases as planned.
Created comprehensive overview document that provides: - Executive summary and big picture - Visual phase dependencies and implementation order - Concise summary of each phase with deliverables - Architecture decisions with rationale - Value proposition and quantified benefits - Success metrics for each phase - Implementation strategy and risk mitigation - Links to detailed phase epics and research docs - Relationship to janhesters' work Makes it easy to absorb the entire 5-phase epic structure at a glance before diving into detailed task lists.
Creates database-backed indexing system with FTS5 full-text search, dependency tracking, and ProductManager entities. Replaces YAML as source of truth for project metadata. Implements Phase 1 foundation for Recursive Language Model skill.
Auto-formatting from pre-commit hook.
|
@cursoragent please /review and diagnose failures |
🔬 Code Review: Recursive Language Model Skill Epic🎯 Review ContextReviewing PR #84 which adds comprehensive RLM skill groundwork including SQLite schema creation, planning documentation, and project configuration updates. The CI is failing with 🚨 CI Failure DiagnosisRoot CauseIssue: The test suite uses import { Database } from "bun:sqlite";
import { createSchema } from "./create-schema.js";Failure Flow:
Current Mitigation (Incomplete):
Solution OptionsOption 1: Make Code Runtime-Agnostic (Recommended) // Detect runtime and use appropriate SQLite library
const Database = globalThis.Bun
? (await import('bun:sqlite')).Database
: (await import('better-sqlite3')).default;Pros: Works everywhere, uses optimal library per runtime Option 2: Update CI to Run Bun Tests Separately - name: Run Node tests
run: npm run test:unit
- name: Install Bun
uses: oven-sh/setup-bun@v1
- name: Run Bun tests
run: npm run test:bunPros: Clean separation, tests real Bun environment Option 3: Exclude from Main Test Script "test": "vitest run --exclude '**/*-e2e.test.js' --exclude '**/create-schema.test.js' && npm run -s lint && npm run -s typecheck"Pros: Quick fix, mirrors Recommendation: Implement Option 1 for maximum compatibility, then add Option 2 to CI for comprehensive testing. 1. Code Structure and Organization🎯 What I'm ReviewingCode organization, file placement, and architectural decisions for the SQLite schema foundation. 💡 ObservationsStrengths:
Issues:
🪞 Critical ReflectionThe planning documentation is thorough and well-researched. However, the implementation shows signs of rushing - index files weren't updated, type definitions are missing, and runtime compatibility wasn't considered. 🔭 Broader ContextThis is foundational code for Phase 1 of a 5-phase epic. Any compatibility issues here will cascade to future phases. Getting the foundation right is critical. ⚖️ Score: 7/10Good structure, but missing polish and completeness checks. 2. Adherence to Coding Standards🎯 Checking Against
💡 ObservationsFollows Project Standards: ✅
JavaScript Best Practices: ✅ export function createSchema(db) {
Test Quality: ✅ test("should return version and success status", async () => {
const result = createSchema(db);
assert({
given: "schema creation",
should: "return version 1",
actual: result.version,
expected: 1,
});
Issues:
🪞 Critical ReflectionThe code follows FP principles well. Tests are thorough and isolated. However, some async/await usage is cosmetic, and the lack of JSDoc hurts discoverability. ⚖️ Score: 8/10Strong adherence to standards, minor improvements needed. 3. Test Coverage and Quality🎯 EvaluatingTest comprehensiveness, edge cases, and TDD compliance. 💡 AnalysisCoverage: Excellent ✅
Test Quality: Strong ✅ test("should enforce foreign key constraints", async () => {
createSchema(db);
let errorThrown = false;
let errorMessage = "";
try {
db.prepare(
`
INSERT INTO stories (
id, step_id, name, priority, status, created_at, updated_at
) VALUES (
'story1', 'nonexistent', 'Test Story', 50, 'backlog', ?, ?
)
`,
).run(Date.now(), Date.now());
} catch (error) {
errorThrown = true;
errorMessage = error.message;
}
assert({
given: "invalid foreign key",
should: "throw foreign key constraint error",
actual: errorThrown && errorMessage.includes("FOREIGN KEY"),
expected: true,
});Tests verify both happy paths and constraints. Good coverage of SQL semantics. Missing Tests:
🔭 ExpansionThe design doc mentions "TDD-friendly in-memory tests" and this delivers. However, missing integration tests for the CLI path and performance validation against stated goals (100 files in <1s). ⚖️ Score: 8.5/10Excellent unit test coverage, missing integration and performance tests. 4. Performance Considerations🎯 EvaluatingImplementation efficiency against stated performance goals. 💡 AnalysisDesign Goals (from
Implementation: Good Foundation ✅ // Enable foreign keys
db.exec("PRAGMA foreign_keys = ON");
// Schema version tracking
db.exec(`
CREATE TABLE IF NOT EXISTS schema_version (
version INTEGER PRIMARY KEY,
applied_at INTEGER NOT NULL
)
`);Efficient Patterns:
Missing Optimizations:
Potential Issues: db.exec(`
CREATE INDEX IF NOT EXISTS idx_documents_type ON documents(type);
CREATE INDEX IF NOT EXISTS idx_documents_indexed_at ON documents(indexed_at);
CREATE INDEX IF NOT EXISTS idx_documents_modified_at ON documents(modified_at);Multiple indexes created separately. Could use single exec with multiple statements for better performance. 🪞 Critical ReflectionSchema is well-designed for performance, but implementation doesn't wrap everything in a transaction. For 100+ tables/indexes, this could be noticeable. ⚖️ Score: 7/10Good design, missing production-grade optimizations. 5. Security Scan🎯 Checking OWASP Top 10 + Project Security RulesOWASP Top 10 (2021) Analysis:
💡 Security Issues FoundA02: Cryptographic Failures hash TEXT NOT NULL,Design doc mentions SHA256 for change detection, but no validation that hashes use cryptographic functions. Should enforce in schema or docs. A05: Security Misconfiguration // Enable foreign keys
db.exec("PRAGMA foreign_keys = ON");Missing security-relevant PRAGMAs:
A08: Software/Data Integrity // Record schema version
const version = 1;
const now = Date.now();
const existing = db
.prepare("SELECT version FROM schema_version WHERE version = ?")
.get(version);
if (!existing) {
db.prepare(
"INSERT INTO schema_version (version, applied_at) VALUES (?, ?)",No integrity checks. If database is tampered with, no detection mechanism. Consider adding:
Input Validation: ✅ Good Tests show proper use of prepared statements, avoiding SQL injection. 🔭 Broader ContextThis is infrastructure code, so security is primarily about data integrity and safe defaults. No immediate vulnerabilities, but missing defense-in-depth layers. ⚖️ Score: 7.5/10No critical vulnerabilities, but missing security hardening. 6. Architectural Patterns & Design Decisions🎯 EvaluatingDesign decisions against project goals and best practices. 💡 AnalysisDecision 1: Bun-Specific Implementation import { Database } from "bun:sqlite";Reasoning (from design doc):
Critical Reflection: ❌
Verdict: Architectural mismatch. Should use Decision 2: SQLite Over Alternatives Rationale (from design doc):
Verdict: ✅ Excellent choice for use case. Decision 3: Hybrid Document + Structured Storage // Documents table - main frontmatter index
db.exec(`
CREATE TABLE IF NOT EXISTS documents (
path TEXT PRIMARY KEY,
type TEXT NOT NULL,
frontmatter JSON,
content TEXT,
hash TEXT NOT NULL,
indexed_at INTEGER NOT NULL,
file_size INTEGER,
modified_at INTEGER
)
`);Verdict: ✅ Smart. Flexible JSON for varying schemas, structured tables for complex queries. Decision 4: FTS5 with Triggers // Triggers to keep FTS5 in sync with documents table
db.exec(`
DROP TRIGGER IF EXISTS documents_fts_insert;
CREATE TRIGGER documents_fts_insert AFTER INSERT ON documents BEGINVerdict: ✅ Excellent. Automatic sync prevents stale search results. 🪞 Critical ReflectionStrong architectural decisions overall, but critical error: Implementation uses ⚖️ Score: 6/10Great design marred by implementation that contradicts design doc. 7. Documentation & Commit Quality🎯 CheckingDocumentation completeness, commit messages, inline comments. 💡 AnalysisPlanning Documentation: Excellent ✅
Code Documentation: Weak ❌ #!/usr/bin/env bun
/**
* SQLite Schema Creation
* Creates the complete database schema for aidd indexing system
*/
import { Database } from "bun:sqlite";
/**
* Creates the complete database schema
* @param {Database} db - SQLite database instance
*/Missing:
Commit Messages: Good ✅ Follows conventional commits, clear descriptions. Index Files: Broken ❌ # tools
This index provides an overview of the contents in this directory.
*This directory is empty.*Says "empty" but contains 2 files. Pre-commit hook should have caught this. 🔭 ExpansionPer
Issue: Pre-commit hook didn't update index, OR files are missing frontmatter. Let me check: #!/usr/bin/env bun
/**
* SQLite Schema Creation
* Creates the complete database schema for aidd indexing system
*/❌ No frontmatter. Should have: ---
description: Creates complete SQLite schema for aidd indexing
---⚖️ Score: 6/10Excellent planning docs, weak code docs, broken index generation. 8. Missing TypeScript Definitions🎯 CheckingType safety and developer experience. 💡 IssueProject has
But missing:
Should export: import type { Database } from 'better-sqlite3';
export interface SchemaResult {
version: number;
tablesCreated: boolean;
}
export function createSchema(db: Database): SchemaResult;⚖️ Score: 5/10Inconsistent with project patterns. 9. Comparison to Requirements🎯 CheckingImplementation against Phase 1 success criteria. From Epic ( Success Criteria:
Verdict: Partial implementation. Schema foundation is solid, but missing query tools and failing CI. 📋 Summary & Actionable RecommendationsCritical Issues (Must Fix)
High Priority (Should Fix)
Medium Priority (Good to Have)
⚖️ Overall Scores
Overall: 7.2/10 - Good foundation with critical CI issue 🎯 RecommendationDO NOT MERGE until CI passes. Fix the Bun/Node compatibility issue and update index files. The architectural foundation is solid, but implementation contradicts design doc and breaks CI. Once CI is green, this is a strong foundation for Phase 1. The planning documentation is excellent and shows thoughtful design. 💬 Specific Code Changes NeededFix 1: Runtime Compatibility// ai/tools/create-schema.js
let Database;
if (globalThis.Bun) {
Database = (await import('bun:sqlite')).Database;
} else {
Database = (await import('better-sqlite3')).default;
}
export function createSchema(db) {
// ... rest of implementation
}Fix 2: Add Frontmatter---
description: Creates complete SQLite schema for aidd indexing system with FTS5, ProductManager tables, and dependency tracking
---
#!/usr/bin/env bun
/**
* SQLite Schema CreationFix 3: Update Index (will auto-generate after adding frontmatter)Run: Fix 4: Add TypeScript DefinitionsCreate import type { Database } from 'better-sqlite3';
export interface SchemaResult {
version: number;
tablesCreated: boolean;
}
export function createSchema(db: Database): SchemaResult;This review follows the systematic process from |
Add comprehensive task epic for building RLM skill that applies MIT's
Recursive Language Model strategies to AI agent codebase exploration.
Epic includes 7 tasks covering research, design, implementation of
fan-out search, SQLite indexing, and SudoLang skill specification.
Note
Lays groundwork for the RLM skill with a SQLite indexing schema and planning docs, plus project setup updates.
ai/tools/create-schema.js(with CLI) and comprehensive tests to create SQLite schema:documents+ FTS5,dependencies, and ProductManager tables (personas,journeys,steps,pain_points,stories,functional_requirements), with indexes and triggersplan/rlm/(spec, architecture, database design, research summary)package.json(addsbetter-sqlite3, newtest:bun, adjusts unit test filters) and adds.gitattributesai/index.md,ai/rules/index.md) and addsai/rules/sudolang/index.mdandai/tools/index.mdWritten by Cursor Bugbot for commit 5bb8333. This will update automatically on new commits. Configure here.