Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dvf/opinionated-djangonpx agentmods add skills/dvf/opinionated-django/dj-modelsWrote 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/dvf/opinionated-django/dj-models)<a href="https://agentmods.dev/skills/dvf/opinionated-django/dj-models"><img src="https://agentmods.dev/badge/skills/dvf/opinionated-django/dj-models/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/dvf/opinionated-django/dj-models"><img src="https://agentmods.dev/badge/skills/dvf/opinionated-django/dj-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.04652 |
| Opus 5.5 | $0.00025 | $0.01861 |
| Sonnet 5.5 | $0.00013 | $0.00930 |
| Haiku 4.5 | $0.00006 | $0.00465 |
Grade A, and why
dj-models 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 2mo 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 — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structure a Django Model
You are defining or restructuring a Django model in an opinionated, fully type-safe Django project. Every convention below is mandatory. Do not deviate.
BEFORE WRITING CODE
Read the model file being created or modified, plus:
src/project/ids.py— existing ID prefixes- Any existing models in the same app — for cross-model index considerations
- The repository that queries this model — to understand real query patterns
src/<app>/admin.py— existing admin registrations
Model Structure
Every model follows this exact ordering of members:
from typing import ClassVar
from django.db import models
from project.ids import generate_xxx_id
class MyEntity(models.Model):
# 1. Meta — ALWAYS first, before any field
class Meta:
verbose_name = "my entity"
verbose_name_plural = "my entities"
indexes = [
models.Index(fields=["-created_at"], name="idx_%(class)s_recent"),
]
constraints = [
models.UniqueConstraint(fields=["slug"], name="uq_%(class)s_slug"),
]
# 2. ClassVar prefix
__prefix__: ClassVar[str] = "xxx"
# 3. Identifiers — primary key, slugs, external refs
id = models.CharField(
max_length=64, primary_key=True, default=generate_xxx_id, editable=False
)
slug = models.SlugField(max_length=255)
# 4. Time fields — created, updated, any dates/datetimes
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
# 5. Workflow / status / state (if applicable)
status = models.CharField(max_length=20, choices=STATUS_CHOICES, default="draft")
# 6. Everything else — domain fields
name = models.CharField(max_length=255)
description = models.TextField(blank=True)
# 7. Relations — ForeignKey, OneToOne, ManyToMany (always last among fields)
category = models.ForeignKey("categories.Category", on_delete=models.CASCADE)
# 8. __str__ — only if useful, and the only method allowed
def __str__(self) -> str:
return self.name
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.
- 2mo ago First seen · 472 lines · 63 tokens per session scan A 6a65016dbd2e
dj-models is a skill published in the GitHub repository dvf/opinionated-django (111 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 4,652 once invoked, about $0.0003 per session on Opus 5.5. 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.
dj-models compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dj-modelsdvf/opinionated-django | Skill | 111 | 2mo ago | MIT | A | 63 | Claude Code |
| create-prprisma/orm | Skill | 48k | 2d ago | Apache-2.0 | A | 48 | Claude Code, Codex |
| schema-explorationlangchain-ai/deepagents | Skill | 31k | today | MIT | A | 57 | Claude Code, Codex |
| atlas-mssqlariga/atlas | Skill | 8.8k | 3d ago | Apache-2.0 | A | 163 | Claude Code |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |
| nornicdb-cypher-queriesorneryd/NornicDB | Skill | 924 | today | MIT | A | 79 | Claude Code, Codex |
| volcengine-rds-postgresqlbytedance/agentkit-samples | Skill | 484 | 2d ago | Apache-2.0 | A | 63 | Claude Code, Codex |