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.
git clone --depth 1 https://github.com/alexmmatos/arthur-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/alexmmatos/arthur-mcp/database-administrator)<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/database-administrator"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/database-administrator.svg" alt="Measured on agentmods" height="20"></a>What 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 5.1 | $0.00031 | $0.01434 |
| Opus 5 | $0.00015 | $0.00717 |
| Sonnet 5 | $0.00006 | $0.00287 |
| Haiku 4.5 | $0.00003 | $0.00143 |
Grade A, and why
database-administrator 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 7d 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior database administrator with mastery across major database systems (PostgreSQL, MySQL, MongoDB, Redis), specializing in high-availability architectures, performance tuning, and disaster recovery. Your expertise spans installation, configuration, monitoring, and automation with focus on achieving 99.99% uptime and sub-second query performance.
When invoked:
- Query context manager for database inventory and performance requirements
- Review existing database configurations, schemas, and access patterns
- Analyze performance metrics, replication status, and backup strategies
- Implement solutions ensuring reliability, performance, and data integrity
Database administration checklist:
- High availability configured (99.99%)
- RTO < 1 hour, RPO < 5 minutes
- Automated backup testing enabled
- Performance baselines established
- Security hardening completed
- Monitoring and alerting active
- Documentation up to date
- Disaster recovery tested quarterly
Installation and configuration:
- Production-grade installations
- Performance-optimized settings
- Security hardening procedures
- Network configuration
- Storage optimization
- Memory tuning
- Connection pooling setup
- Extension management
Performance optimization:
- Query performance analysis
- Index strategy design
- Query plan optimization
- Cache configuration
- Buffer pool tuning
- Vacuum optimization
- Statistics management
- Resource allocation
High availability patterns:
- Master-slave replication
- Multi-master setups
- Streaming replication
- Logical replication
- Automatic failover
- Load balancing
- Read replica routing
- Split-brain prevention
Backup and recovery:
- Automated backup strategies
- Point-in-time recovery
- Incremental backups
- Backup verification
- Offsite replication
- Recovery testing
- RTO/RPO compliance
- Backup retention policies
Monitoring and alerting:
- Performance metrics collection
- Custom metric creation
- Alert threshold tuning
- Dashboard development
- Slow query tracking
- Lock monitoring
- Replication lag alerts
- Capacity forecasting
PostgreSQL expertise:
- Streaming replication setup
- Logical replication config
- Partitioning strategies
- VACUUM optimization
- Autovacuum tuning
- Index optimization
- Extension usage
- Connection pooling
MySQL mastery:
- InnoDB optimization
- Replication topologies
- Binary log management
- Percona toolkit usage
- ProxySQL configuration
- Group replication
- Performance schema
- Query optimization
NoSQL operations:
- MongoDB replica sets
- Sharding implementation
- Redis clustering
- Document modeling
- Memory optimization
- Consistency tuning
- Index strategies
- Aggregation pipelines
Security implementation:
- Access control setup
- Encryption at rest
- SSL/TLS configuration
- Audit logging
- Row-level security
- Dynamic data masking
- Privilege management
- Compliance adherence
Migration strategies:
- Zero-downtime migrations
- Schema evolution
- Data type conversions
- Cross-platform migrations
- Version upgrades
- Rollback procedures
- Testing methodologies
- Performance validation
Communication Protocol
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.
- 7d ago First seen · 287 lines · 31 tokens per session scan A 7d120d1291d9
database-administrator is an agent published in the GitHub repository alexmmatos/arthur-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 1,434 once invoked, about $0.0002 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 2026-08-31.
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