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 instructions/7tg/django-admin-mcp/copilot-instructionsgit clone --depth 1 https://github.com/7tg/django-admin-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/instructions/7tg/django-admin-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/7tg/django-admin-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/7tg/django-admin-mcp/copilot-instructions.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 | $0.00198 | $0.00198 |
| Opus 5 | $0.00099 | $0.00099 |
| Sonnet 5 | $0.00040 | $0.00040 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
django-admin-mcp copilot-instructions.md 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 4d 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.
What it actually says
Copilot Instructions
For comprehensive AI agent guidelines, coding standards, architecture details, and development workflows, see AGENTS.md in the repository root.
Quick Reference
- Project: django-admin-mcp - Exposes Django admin models to MCP clients via HTTP
- Python: 3.10+ with type hints
- Linting:
ruff check .andruff format . - Type checking:
mypy django_admin_mcp/ - Tests:
pytest --cov=django_admin_mcp - Line length: 120 characters
Key Conventions
- ModelAdmin inheritance order:
MCPAdminMixin, admin.ModelAdmin(mixin first) - All handlers go in
django_admin_mcp/handlers/ - Protocol types defined in
django_admin_mcp/protocol/types.py - Always respect Django admin permissions for CRUD operations
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.
- 4d ago First seen · 20 lines · 198 tokens per session scan A e3b4da7e3965
django-admin-mcp copilot-instructions.md is an instructions file published in the GitHub repository 7tg/django-admin-mcp (16 stars, last pushed 1mo ago), licensed MIT. It adds 198 tokens to every session, about $0.0010 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.
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