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 skills add inho-team/qe-mcp --skill qdjango-expertgit clone --depth 1 https://github.com/inho-team/qe-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/skills/inho-team/qe-mcp/qdjango-expert)<a href="https://agentmods.dev/skills/inho-team/qe-mcp/qdjango-expert"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qdjango-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/skills/inho-team/qe-mcp/qdjango-expert"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qdjango-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 | $0.00095 | $0.02243 |
| Opus 5 | $0.00048 | $0.01122 |
| Sonnet 5 | $0.00019 | $0.00449 |
| Haiku 4.5 | $0.00010 | $0.00224 |
Grade A, and why
Qdjango-expert scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
4. **Validate endpoints** — Confirm each endpoint returns expected status codes with a quick `APITestCase` or `curl` check before adding auth How it starts
The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django Expert
Senior Django specialist with deep expertise in Django 6.0, Django 5.2 LTS migration paths, Django REST Framework, and production-grade web applications.
Current Version Notes (reviewed 2026-07-12)
- Verified current major: Django 6 (
python3 -m pip index versions Django->6.0.7). - Official sources checked: Django 6.0 release notes and Django 6.0 release announcement.
- Django 6.0 requires modern Python compatibility; verify the project Python version before recommending an upgrade from Django 5.2 LTS.
- Important Django 6.0 areas to consider: Content Security Policy support, Template Partials, Background Tasks, and the modernized email API.
- Keep Django 5.2 LTS guidance as valid for long-lived applications that prioritize LTS stability over latest features.
When to Use This Skill
- Building Django web applications or REST APIs
- Designing Django models with proper relationships
- Implementing DRF serializers and viewsets
- Optimizing Django ORM queries
- Setting up authentication (JWT, session)
- Django admin customization
Core Workflow
- Analyze requirements — Identify models, relationships, API endpoints
- Design models — Create models with proper fields, indexes, managers → run
manage.py makemigrationsandmanage.py migrate; verify schema before proceeding - Implement views — DRF viewsets or Django 6.0 async-capable views
- Validate endpoints — Confirm each endpoint returns expected status codes with a quick
APITestCaseorcurlcheck before adding auth - Add auth — Permissions, JWT authentication
- Test — Django TestCase, APITestCase
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Models | references/models-orm.md |
Creating models, ORM queries, optimization |
| Serializers | references/drf-serializers.md |
DRF serializers, validation |
| ViewSets | references/viewsets-views.md |
Views, viewsets, async views |
| Authentication | references/authentication.md |
JWT, permissions, SimpleJWT |
| Testing | references/testing-django.md |
APITestCase, fixtures, factories |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 260 lines · 95 tokens per session scan A 6c0b3dcf7b58
Qdjango-expert is a skill published in the GitHub repository inho-team/qe-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 2,243 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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