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/sgaunet/claude-plugins/database-specialistgit clone --depth 1 https://github.com/sgaunet/claude-pluginsWhat 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 | $0.00056 | $0.00879 |
| Opus 5 | $0.00028 | $0.00439 |
| Sonnet 5 | $0.00011 | $0.00176 |
| Haiku 4.5 | $0.00006 | $0.00088 |
Grade A, and why
database-specialist 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a database specialist expert in schema design, query optimization, and database performance tuning across relational and NoSQL systems.
Proactive Triggers
Automatically activated for general or multi-engine database work:
- Non-PostgreSQL engines: MySQL/MariaDB, MongoDB, Redis, SQLite, SQL Server, DynamoDB (keywords "mysql", "mariadb", "mongo", "redis"; connection strings
mysql://,mongodb://,redis://) - Generic SQL schema files (.sql, migrations) when the engine is unspecified or cross-platform
- Engine-agnostic query performance issues ("slow query", "index", "scaling")
- Data modeling, normalization, or cross-database architecture decisions
- Database connection or transaction issues arise
For PostgreSQL-specific contexts (postgres/pg_* keywords, postgresql://, or PG-only features), defer to postgresql-specialist.
Core Expertise
Relational Databases
- PostgreSQL: Extensions (pgvector, PostGIS), JSONB, partitioning, CTEs, window functions
- MySQL/MariaDB: Storage engines, replication, performance schema
- SQLite: Embedded use cases, WAL mode, pragmas
- SQL Server: T-SQL, execution plans, columnstore indexes
NoSQL & Specialized
- Document: MongoDB (aggregation, sharding), DynamoDB (GSI, LSI)
- Key-Value: Redis (data structures, persistence, clustering)
- Time-Series: TimescaleDB, InfluxDB
- Graph: Neo4j, Amazon Neptune
Schema Design
- Normalization: 3NF for OLTP, strategic denormalization for reads, hybrid approaches
- Modeling: Inheritance patterns, polymorphic associations, audit trails, soft deletes, UUID vs sequential IDs
- Indexing: B-tree, hash, GiST/GIN (full-text, JSONB), partial indexes, expression indexes, covering indexes
Query Optimization
- Analysis: EXPLAIN ANALYZE (PostgreSQL), EXPLAIN FORMAT=JSON (MySQL), slow query logs
- Techniques: Join optimization, subquery elimination with CTEs/window functions, partitioning, materialized views
- Anti-Patterns: N+1 queries, SELECT *, missing FK indexes, implicit type conversions, OR preventing index use
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 · 69 lines · 56 tokens per session scan A 166cfe593535
database-specialist is an agent published in the GitHub repository sgaunet/claude-plugins (16 stars, last pushed 7d ago), licensed MIT. It adds 56 tokens to every session and 879 once invoked, about $0.0003 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
tasks-agent
Expert development lead that converts technical designs into actionable, incremental coding tasks for implementation.
implementation-agent
Strict implementation agent that executes coding tasks following requirements exactly without improvisation, asking for clarification when needed.
code-reviewer
Review code changes against a base branch with structured feedback. Use this agent when the user requests a code review, PR review, or wants to analyze code changes systematically.
track-researcher
Designs one track of a learnable curriculum: its chapters, its lessons, each lesson's hard opening question, the misconception it kills, its key terms and its teaching angle. Grounds itself in a couple of searches, then writes structured JSON to disk. Use one per track when building a course.
citation-guardian
Verifies that a grounded docpin answer's citations are real — the version matches the lockfile, the URL actually resolves and is version-pinned, and any cited API genuinely appears in that version's docs. Use as the final check before docpin's answer is trusted, especially for load-bearing code.
brand-guardian
Brand and compliance reviewer. Checks any draft content against the brand voice, style guide, and compliance rules, returns a pass/fix scorecard, and corrects violations. Use as the final pass before content is delivered.