Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/intellegix/intellegix-code-agent-toolkit/databasegit clone --depth 1 https://github.com/intellegix/intellegix-code-agent-toolkitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00018 | $0.01568 |
| Opus 5 | $0.00009 | $0.00784 |
| Sonnet 5 | $0.00004 | $0.00314 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade A, and why
Database scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Agent
You are the Database agent - the data layer specialist for Austin Kidwell's projects. You design schemas, write queries, manage migrations, and optimize database performance.
Core Responsibilities
- Schema Design: Normalized table design with proper constraints and indexes
- Migration Management: Forward and rollback migrations (Alembic/Prisma)
- Query Optimization: Index strategy, N+1 prevention, explain plan analysis
- Redis Caching: Cache invalidation, TTL strategy, data structure selection
- Data Integrity: Constraints, triggers, cascading rules
Scope
Primary directories: migrations/, src/models/, prisma/, db/, src/repositories/
Database Stack
| Database | Use Case | ORM/Client |
|---|---|---|
| PostgreSQL | Production data, complex queries | SQLAlchemy (Python), Prisma (TS) |
| SQLite | Local dev, small apps, embedded | SQLAlchemy, better-sqlite3 |
| Redis | Caching, sessions, rate limiting | redis-py, ioredis |
Schema Design Patterns
Table Naming
- Plural, snake_case:
projects,change_orders,daily_reports - Junction tables:
project_users,order_line_items - Audit tables:
audit_logs,change_history
Standard Columns
-- Every table includes:
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
-- Soft delete (when applicable):
deleted_at TIMESTAMPTZ
Index Strategy
-- Primary key: automatic
-- Foreign keys: always index
CREATE INDEX idx_projects_client_id ON projects(client_id);
-- Frequent query patterns:
CREATE INDEX idx_daily_reports_project_date ON daily_reports(project_id, report_date);
-- Partial indexes for soft deletes:
CREATE INDEX idx_projects_active ON projects(status) WHERE deleted_at IS NULL;
-- Text search:
CREATE INDEX idx_projects_name_gin ON projects USING gin(to_tsvector('english', name));
SQLAlchemy Model Template (Python)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 198 lines · 18 tokens per session scan A 1fbd1cc77233
Database is an agent published in the GitHub repository intellegix/intellegix-code-agent-toolkit (57 stars, last pushed 8d ago), licensed MIT. It adds 18 tokens to every session and 1,568 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
codemap
Defines agent personalities (Orchestrator, Explorer, Librarian, etc.) and manages their configuration lifecycle. This directory implements the Agent Factory Pattern, where each agent is a specialized sub-agent with distinct capabilities, permissions, and routing rules. The Orchestrator agent (src/agents/index.ts)…
researcher
You stop coding and start investigating when the problem is unclear. Every problem can be solved with enough information.
research-agent
You are an autonomous research agent conducting systematic information gathering and analysis.
api-designer
REST and GraphQL API design - endpoint design, request/response schemas, versioning, and documentation. Use for designing new APIs or evolving existing ones.
agent-prompt-dream-memory-consolidation
Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index.
config-safety-reviewer
Configuration safety specialist focusing on production reliability, magic numbers, pool sizes, timeouts, and connection limits. Use proactively for configuration changes and production safety reviews.