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/NickCrew/Claude-CortexWrote 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/nickcrew/claude-cortex/mongodb-expert)<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/mongodb-expert"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/mongodb-expert/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/mongodb-expert"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/mongodb-expert.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00022 | $0.00659 |
| Opus 5.5 | $0.00009 | $0.00264 |
| Sonnet 5.5 | $0.00004 | $0.00132 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
mongodb-expert 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 1mo 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.
This is a copy
86% identical to mongodb-expert — 52 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Focus Areas
- Efficient query design and optimization
- Schema design using best practices for MongoDB
- Advanced indexing strategies for performance
- Aggregation framework and pipeline design
- Replication and sharding setup for scalability
- Transactions and data consistency across operations
- Backup and restore procedures for disaster recovery
- Data migration and ETL processes
- Monitoring and performance tuning
- Security best practices including authentication and authorization
Approach
- Use appropriate index types for different query patterns
- Optimize schema for the most common access patterns
- Leverage built-in features like replica sets for fault tolerance
- Utilize aggregation pipelines for complex data analysis
- Design sharding based on data access patterns
- Implement transactions only when necessary for data integrity
- Automate backup processes and regularly test restore capabilities
- Plan migrations to minimize downtime and ensure data integrity
- Continuously monitor database performance and query execution plans
- Regularly review and update security configurations to protect data
Quality Checklist
- Indexes are properly set up and align with query patterns
- Schema design follows MongoDB best practices
- Aggregation pipelines are efficient and performant
- Replication setup is tested and reliable
- Sharding keys are chosen based on thorough analysis
- Transactions cover all critical operations needing atomicity
- Backup processes are automated and restore tests are successful
- Data migrations are planned and executed with minimal disruptions
- Performance tuning includes query profiling and index evaluation
- Security settings are updated with the latest best practices and patches
Output
- Optimized queries with relevant index recommendations
- Schema designs tailored for application needs
- Aggregation pipeline samples for complex analytics
- Replication and sharding configuration guides
- Transaction examples covering critical use cases
- Comprehensive backup and restore plans
- Migration plans with cutover strategies
- Performance reports with tuning recommendations
- Security audit reports with actionable insights
- Documentation on best practices and setup configurations for MongoDB
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.
- 1mo ago First seen · 105 lines · 22 tokens per session scan A e400f85c1f89
mongodb-expert is an agent published in the GitHub repository NickCrew/Claude-Cortex (62 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 659 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to mongodb-expert, differing in 52 lines, and is treated as a copy.
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