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 OrcaQubits/agentic-commerce-skills-plugins --skill python-djangogit clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-pluginsWrote 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/orcaqubits/agentic-commerce-skills-plugins/python-django)<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/python-django"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/python-django/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/orcaqubits/agentic-commerce-skills-plugins/python-django"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/python-django.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 | $0.00046 | $0.01978 |
| Opus 5 | $0.00023 | $0.00989 |
| Sonnet 5 | $0.00009 | $0.00396 |
| Haiku 4.5 | $0.00005 | $0.00198 |
Grade A, and why
python-django 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 2d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python & Django for Saleor
Before writing code
Fetch live docs:
- Web-search
site:docs.djangoproject.com topics models querysetsfor current Django ORM documentation - Web-search
site:docs.djangoproject.com topics signalsfor Django signals reference - Web-search
site:docs.celeryq.dev userguide tasksfor Celery task patterns and configuration - Web-search
site:docs.saleor.io developerfor Saleor-specific Django conventions - Fetch
https://docs.python.org/3/library/typing.htmlfor Python type hints reference
Django ORM Patterns for Saleor
QuerySet Operations
| Operation | Method | Example Use |
|---|---|---|
| Filter | .filter(**kwargs) |
Filter products by type |
| Exclude | .exclude(**kwargs) |
Exclude draft orders |
| Annotate | .annotate(expr) |
Add computed fields (totals, counts) |
| Aggregate | .aggregate(expr) |
Compute sum, avg across queryset |
| Select related | .select_related("fk") |
Join foreign keys (avoid N+1) |
| Prefetch related | .prefetch_related("m2m") |
Batch-load many-to-many (avoid N+1) |
| Values | .values("field") |
Return dictionaries instead of objects |
| Order by | .order_by("field") |
Sort results |
F and Q Objects
| Object | Purpose | Example Use |
|---|---|---|
F("field") |
Reference model field in expressions | Update stock: F("quantity") - 1 |
Q(condition) |
Complex lookups with OR/AND/NOT | `Q(status="active") |
- Use
F()for atomic field updates without race conditions - Combine
Q()objects with|(OR),&(AND),~(NOT) for complex filters
Model Relationships in Saleor
| Relationship | Field Type | Example |
|---|---|---|
| One-to-Many | ForeignKey |
Order -> User, OrderLine -> Order |
| Many-to-Many | ManyToManyField |
Product -> Category (via ProductCategory) |
| One-to-One | OneToOneField |
User -> UserProfile |
| Generic | GenericForeignKey |
Attribute values on multiple entity types |
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.
- 2d ago First seen · 178 lines · 46 tokens per session scan A 5a0e6bccb21e
python-django is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 1,978 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 2026-09-15.
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