How do I install the 632 Database Schema A0f7fe68 skill?

Run npx skillmds@latest add tools-only/632-database-schema-a0f7fe68 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the 632 Database Schema A0f7fe68 skill do?

Database Schema It is listed under Research & Search on SkillMD.

Is 632 Database Schema A0f7fe68 safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with 632 Database Schema A0f7fe68?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is 632 Database Schema A0f7fe68 free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published 632 Database Schema A0f7fe68?

tools-only (@tools-only) published this skill. Their other Agent Skills are listed on their SkillMD profile.

632 Database Schema A0f7fe68 by tools-only

Name: 632 Database Schema A0f7fe68
Author: tools-only

Database Schema

This document describes the database models and their relationships in Local Deep Research.

Overview
Entity Relationship Diagram
Model Groups

Overview

Local Deep Research uses SQLAlchemy ORM with SQLCipher for encryption.

Key Characteristics:

Per-user databases: Each user has their own encrypted SQLite database
AES-256 encryption: User password derives the encryption key
HMAC verification: Ensures database integrity
Central auth database: Only stores usernames (no passwords)

Location: src/local_deep_research/database/models/

Entity Relationship Diagram

erDiagram
    %% Research Domain
    ResearchTask ||--o{ SearchQuery : contains
    ResearchTask ||--o{ SearchResult : produces
    ResearchTask ||--o{ Report : generates
    SearchQuery ||--o{ SearchResult : returns

    Research ||--o{ ResearchHistory : tracks
    Research ||--o{ ResearchResource : uses

    Report ||--o{ ReportSection : contains

    %% Library
    Document ||--o{ DocumentChunk : splits_into
    Document }o--o{ Collection : belongs_to
    Collection ||--o{ RAGIndex : indexes

    %% News
    NewsSubscription ||--o{ NewsCard : produces
    NewsCard ||--o{ UserRating : receives

    %% Benchmarks
    BenchmarkRun ||--o{ BenchmarkResult : contains
    BenchmarkRun ||--o{ BenchmarkProgress : tracks

    %% Queue
    QueuedResearch ||--o| TaskMetadata : has

    %% Metrics
    Research ||--o{ TokenUsage : tracks
    Research ||--o{ SearchCall : logs

Model Groups

Research Domain

The core models for conducting research.

ResearchTask

Top-level research container.

Column	Type	Description
`id`	Integer	Primary key
`title`	String(500)	Research title
`description`	Text	Detailed description
`status`	String(50)	pending, in_progress, completed, failed
`priority`	Integer	Priority level (higher = more urgent)
`tags`	JSON	List of categorization tags
`research_metadata`	JSON	Flexible metadata storage
`created_at`	DateTime	Creation timestamp
`updated_at`	DateTime	Last update timestamp
`started_at`	DateTime	When research started
`completed_at`	DateTime	When research completed

Relationships: searches, results, reports

SearchQuery

Individual search queries within a research task.

Column	Type	Description
`id`	Integer	Primary key
`research_task_id`	Integer	FK to ResearchTask
`query`	Text	The search query text
`search_engine`	String(50)	Engine used (duckduckgo, arxiv, etc.)
`search_type`	String(50)	Type (web, academic, news)
`parameters`	JSON	Additional search parameters
`status`	String(50)	pending, executing, completed, failed
`error_message`	Text	Error details if failed
`retry_count`	Integer	Number of retry attempts
`executed_at`	DateTime	When query was executed

Indexes: idx_research_task_status, idx_search_engine

SearchResult

Individual results from search queries.

Column	Type	Description
`id`	Integer	Primary key
`research_task_id`	Integer	FK to ResearchTask
`search_query_id`	Integer	FK to SearchQuery
`title`	String(500)	Result title
`url`	Text	Result URL (indexed)
`snippet`	Text	Brief preview
`content`	Text	Full fetched content
`content_type`	String(50)	html, pdf, text, etc.
`content_hash`	String(64)	For deduplication
`relevance_score`	Float	Calculated relevance
`position`	Integer	Position in results
`domain`	String(255)	Source domain (indexed)
`language`	String(10)	Content language
`published_date`	DateTime	Publication date
`fetch_status`	String(50)	pending, fetched, failed, skipped

Research

Simplified research record (alternative to ResearchTask).

Column	Type	Description
`id`	Integer	Primary key
`query`	Text	Original query
`mode`	Enum	ResearchMode value
`strategy`	Enum	ResearchStrategy value
`status`	Enum	ResearchStatus value
`result`	Text	Final result/summary
`iterations`	Integer	Iterations completed
`created_at`	DateTime	Creation timestamp

Enums:

ResearchMode: quick, detailed, report
ResearchStatus: pending, queued, in_progress, completed, suspended, failed, error, cancelled
ResearchStrategy: source-based, focused-iteration, etc.

ResearchHistory

Tracks research iterations and progress.

Column	Type	Description
`id`	Integer	Primary key
`research_id`	Integer	FK to Research
`iteration`	Integer	Iteration number
`questions`	JSON	Questions asked
`findings`	JSON	Findings discovered
`created_at`	DateTime	When recorded

Report / ReportSection

Generated research reports.

Column (Report)	Type	Description
`id`	Integer	Primary key
`research_task_id`	Integer	FK to ResearchTask
`title`	String(500)	Report title
`format`	String(50)	markdown, pdf, latex
`content`	Text	Full report content
`created_at`	DateTime	Generation time

Column (ReportSection)	Type	Description
`id`	Integer	Primary key
`report_id`	Integer	FK to Report
`title`	String(255)	Section title
`content`	Text	Section content
`order`	Integer	Display order

Authentication

User management with per-user encrypted databases.

User

Central user registry (stored in auth database, not user database).

Column	Type	Description
`id`	Integer	Primary key
`username`	String(80)	Unique username (indexed)
`created_at`	DateTime	Registration date
`last_login`	DateTime	Last login time
`database_version`	Integer	Schema version

Note: Passwords are NEVER stored. They derive encryption keys.

APIKey

API keys for programmatic access.

Column	Type	Description
`id`	Integer	Primary key
`key_hash`	String(64)	Hashed API key
`name`	String(100)	Key description
`created_at`	DateTime	Creation date
`last_used`	DateTime	Last usage
`expires_at`	DateTime	Expiration date
`is_active`	Boolean	Whether key is valid

Settings

Configuration storage.

Setting

Global application settings.

Column	Type	Description
`id`	Integer	Primary key
`key`	String(255)	Setting key (unique, indexed)
`value`	Text	Setting value
`type`	Enum	SettingType (string, int, bool, json)
`category`	String(100)	Setting category
`description`	Text	Human-readable description
`updated_at`	DateTime	Last update

UserSettings

Per-user setting overrides.

Column	Type	Description
`id`	Integer	Primary key
`key`	String(255)	Setting key
`value`	Text	User's value
`updated_at`	DateTime	Last update

Library & Documents

Document management for RAG.

Document

Documents in the research library.

Column	Type	Description
`id`	Integer	Primary key
`title`	String(500)	Document title
`source_type`	Enum	SourceType (upload, url, api)
`source_url`	Text	Original source URL
`file_path`	Text	Local file path
`file_hash`	String(64)	Content hash
`mime_type`	String(100)	MIME type
`file_size`	Integer	Size in bytes
`text_content`	Text	Extracted text
`metadata`	JSON	Additional metadata
`created_at`	DateTime	When added
`indexed_at`	DateTime	When indexed for RAG

Enum SourceType: upload, url, doi, arxiv, pubmed, semantic_scholar

Collection

Document collections for organization.

Column	Type	Description
`id`	Integer	Primary key
`name`	String(255)	Collection name
`description`	Text	Description
`is_default`	Boolean	Default collection flag
`created_at`	DateTime	Creation date

DocumentCollection

Junction table for document-collection relationship.

Column	Type	Description
`document_id`	Integer	FK to Document
`collection_id`	Integer	FK to Collection

DocumentChunk

Text chunks for RAG indexing.

Column	Type	Description
`id`	Integer	Primary key
`document_id`	Integer	FK to Document
`chunk_index`	Integer	Position in document
`content`	Text	Chunk text
`embedding`	BLOB	Vector embedding
`metadata`	JSON	Chunk metadata

RAGIndex

Vector index metadata.

Column	Type	Description
`id`	Integer	Primary key
`collection_id`	Integer	FK to Collection
`status`	Enum	RAGIndexStatus
`embedding_model`	String(100)	Model used
`chunk_count`	Integer	Number of chunks
`created_at`	DateTime	Creation time
`updated_at`	DateTime	Last update

Queue Management

Background task processing.

QueuedResearch

Research waiting to be processed.

Column	Type	Description
`id`	Integer	Primary key
`query`	Text	Research query
`mode`	String(50)	Research mode
`strategy`	String(50)	Strategy name
`status`	Enum	QueueStatus
`priority`	Integer	Queue priority
`created_at`	DateTime	When queued
`started_at`	DateTime	When started
`completed_at`	DateTime	When finished
`error`	Text	Error message if failed

Enum QueueStatus: pending, running, completed, failed, cancelled

TaskMetadata

Additional task information.

Column	Type	Description
`id`	Integer	Primary key
`queued_research_id`	Integer	FK to QueuedResearch
`key`	String(255)	Metadata key
`value`	Text	Metadata value

Metrics & Analytics

Usage tracking and analytics.

TokenUsage

LLM token consumption.

Column	Type	Description
`id`	Integer	Primary key
`research_id`	Integer	FK to Research
`model`	String(100)	Model name
`provider`	String(50)	Provider name
`input_tokens`	Integer	Input token count
`output_tokens`	Integer	Output token count
`cost`	Float	Estimated cost
`created_at`	DateTime	When recorded

SearchCall

Search API call logging.

Column	Type	Description
`id`	Integer	Primary key
`research_id`	Integer	FK to Research
`engine`	String(50)	Search engine
`query`	Text	Query text
`result_count`	Integer	Results returned
`duration_ms`	Integer	Request duration
`success`	Boolean	Whether succeeded
`created_at`	DateTime	When called

ModelUsage

Aggregated model usage statistics.

Column	Type	Description
`id`	Integer	Primary key
`model`	String(100)	Model name
`provider`	String(50)	Provider name
`total_input_tokens`	Integer	Cumulative input
`total_output_tokens`	Integer	Cumulative output
`total_cost`	Float	Cumulative cost
`request_count`	Integer	Number of requests
`date`	Date	Aggregation date

ResearchRating

User ratings for research quality.

Column	Type	Description
`id`	Integer	Primary key
`research_id`	Integer	FK to Research
`rating`	Integer	1-5 rating
`feedback`	Text	Optional feedback
`created_at`	DateTime	When rated

News System

News subscription and recommendation.

NewsSubscription

User news subscriptions.

Column	Type	Description
`id`	Integer	Primary key
`topic`	String(255)	Subscription topic
`type`	Enum	SubscriptionType
`status`	Enum	SubscriptionStatus
`frequency`	String(50)	Update frequency
`last_fetched`	DateTime	Last fetch time
`created_at`	DateTime	Creation date

NewsCard

Individual news items.

Column	Type	Description
`id`	Integer	Primary key
`subscription_id`	Integer	FK to NewsSubscription
`title`	String(500)	News title
`summary`	Text	News summary
`url`	Text	Source URL
`source`	String(100)	Source name
`published_at`	DateTime	Publication date
`card_type`	Enum	CardType
`created_at`	DateTime	When fetched

UserRating / UserPreference / NewsInterest

User interaction tracking for recommendations.

Benchmarking

Performance benchmarking system.

BenchmarkRun

Benchmark execution record.

Column	Type	Description
`id`	Integer	Primary key
`name`	String(255)	Run name
`dataset_type`	Enum	DatasetType (SimpleQA, BrowseComp)
`strategy`	String(100)	Strategy tested
`status`	Enum	BenchmarkStatus
`config`	JSON	Configuration used
`started_at`	DateTime	Start time
`completed_at`	DateTime	End time

BenchmarkResult

Individual benchmark results.

Column	Type	Description
`id`	Integer	Primary key
`run_id`	Integer	FK to BenchmarkRun
`question`	Text	Test question
`expected_answer`	Text	Expected answer
`actual_answer`	Text	Model's answer
`is_correct`	Boolean	Whether correct
`score`	Float	Quality score
`latency_ms`	Integer	Response time
`tokens_used`	Integer	Tokens consumed

BenchmarkProgress

Progress tracking during runs.

Column	Type	Description
`id`	Integer	Primary key
`run_id`	Integer	FK to BenchmarkRun
`completed`	Integer	Questions completed
`total`	Integer	Total questions
`current_accuracy`	Float	Running accuracy
`updated_at`	DateTime	Last update

Rate Limiting

Adaptive rate limiting data.

RateLimitAttempt

Individual rate limit events.

Column	Type	Description
`id`	Integer	Primary key
`engine`	String(50)	Search engine
`wait_time`	Float	Wait time used
`success`	Boolean	Whether request succeeded
`created_at`	DateTime	When occurred

RateLimitEstimate

Learned rate limit estimates.

Column	Type	Description
`id`	Integer	Primary key
`engine`	String(50)	Search engine
`estimated_wait`	Float	Optimal wait time
`confidence`	Float	Estimate confidence
`sample_count`	Integer	Data points used
`updated_at`	DateTime	Last update

Caching

Result caching for performance.

SearchCache

Cached search results.

Column	Type	Description
`id`	Integer	Primary key
`query_hash`	String(64)	Query hash (indexed)
`engine`	String(50)	Search engine
`results`	JSON	Cached results
`expires_at`	DateTime	Cache expiration
`created_at`	DateTime	When cached

Cache

General-purpose cache.

Column	Type	Description
`id`	Integer	Primary key
`key`	String(255)	Cache key (unique)
`value`	Text	Cached value
`expires_at`	DateTime	Expiration time
`created_at`	DateTime	When created

File Integrity

File verification for security.

FileIntegrityRecord

File hash records.

Column	Type	Description
`id`	Integer	Primary key
`file_path`	Text	File path
`sha256_hash`	String(64)	SHA256 hash
`blake3_hash`	String(64)	BLAKE3 hash
`file_size`	Integer	Size in bytes
`verified_at`	DateTime	Last verification
`created_at`	DateTime	First recorded

FileVerificationFailure

Failed verification attempts.

Column	Type	Description
`id`	Integer	Primary key
`file_path`	Text	File path
`expected_hash`	String(64)	Expected hash
`actual_hash`	String(64)	Computed hash
`failure_type`	String(50)	Type of failure
`created_at`	DateTime	When detected

Database Location

~/.local/share/local-deep-research/
├── auth.db                    # Central auth database (unencrypted)
└── users/
    └── <username>/
        └── research.db        # User's encrypted database

632 Database Schema A0f7fe68

File contents