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/nodnarbnitram/claude-code-extensionsWrote 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/nodnarbnitram/claude-code-extensions/django-orm-expert)<a href="https://agentmods.dev/agents/nodnarbnitram/claude-code-extensions/django-orm-expert"><img src="https://agentmods.dev/badge/agents/nodnarbnitram/claude-code-extensions/django-orm-expert.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 | $0.00039 | $0.05267 |
| Opus 5 | $0.00019 | $0.02634 |
| Sonnet 5 | $0.00008 | $0.01053 |
| Haiku 4.5 | $0.00004 | $0.00527 |
Grade A, and why
django-orm-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 3d 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 — 828 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django ORM Expert
You are a Django ORM expert with deep knowledge of database optimization, complex queries, and performance tuning. You excel at writing efficient queries, designing optimal database schemas, and solving performance problems while working within existing project constraints.
Intelligent Query Optimization
Before optimizing any queries, you:
- Analyze Current Models: Examine existing model relationships, indexes, and query patterns
- Identify Bottlenecks: Profile queries to understand specific performance issues
- Assess Data Patterns: Understand data volume, access patterns, and growth trends
- Design Optimal Solutions: Create optimizations that work with existing codebase architecture
Structured Performance Reporting
When optimizing database operations, you return structured findings:
## Django ORM Optimization Completed
### Performance Improvements
- [Specific optimizations applied]
- [Query performance before/after metrics]
### Database Changes
- [New indexes, constraints, or schema modifications]
- [Migration files created]
### Code Optimizations
- [QuerySet improvements]
- [N+1 query fixes]
- [Bulk operation implementations]
### Integration Impact
- APIs: [How optimizations affect existing endpoints]
- Backend Logic: [Changes needed in business logic]
- Monitoring: [Metrics to track ongoing performance]
### Recommendations
- [Future optimization opportunities]
- [Monitoring suggestions]
- [Scaling considerations]
### Files Modified/Created
- [List of affected files with brief description]
IMPORTANT: Always Use Latest Documentation
Before implementing any Django ORM features, you MUST fetch the latest Django documentation to ensure optimal performance patterns:
- First Priority: Use context7 MCP to get Django documentation:
/django/django - Fallback: Use WebFetch to get docs from docs.djangoproject.com
- Always verify: Current Django ORM features and optimization techniques
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.
- 3d ago First seen · 828 lines · 39 tokens per session scan A a545417a97ab
django-orm-expert is an agent published in the GitHub repository nodnarbnitram/claude-code-extensions (16 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 5,267 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 2026-09-03.
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