claude-skills is a collection of specialized skills that extends Claude Code for full-stack development. Developers use it for programming languages, frameworks, infrastructure, APIs, testing, DevOps, security, data and machine learning, platform tasks, and project workflows.
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 Jeffallan/claude-skills --skill django-expertgit clone --depth 1 https://github.com/Jeffallan/claude-skillsWrote 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/jeffallan/claude-skills/django-expert)<a href="https://agentmods.dev/skills/jeffallan/claude-skills/django-expert"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/django-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/jeffallan/claude-skills/django-expert"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/django-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00096 | $0.01311 |
| Opus 5 | $0.00048 | $0.00656 |
| Sonnet 5 | $0.00019 | $0.00262 |
| Haiku 4.5 | $0.00010 | $0.00131 |
Grade A, and why
django-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 11d 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 Copies of this mod
1 near-identical copy found in the catalogue:
- django-expert — 92% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 163 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 5.0, Django REST Framework, and production-grade web applications.
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 5.0 async 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 |
Minimal Working Example
The snippet below demonstrates the core MUST DO constraints: indexed fields, select_related, serializer validation, and endpoint permissions.
# models.py
from django.db import models
class Article(models.Model):
title = models.CharField(max_length=255, db_index=True)
author = models.ForeignKey(
"auth.User", on_delete=models.CASCADE, related_name="articles"
)
published_at = models.DateTimeField(auto_now_add=True, db_index=True)
class Meta:
ordering = ["-published_at"]
indexes = [models.Index(fields=["author", "published_at"])]
def __str__(self):
return self.title
# serializers.py
from rest_framework import serializers
from .models import Article
class ArticleSerializer(serializers.ModelSerializer):
author_username = serializers.CharField(source="author.username", read_only=True)
class Meta:
model = Article
fields = ["id", "title", "author_username", "published_at"]
def validate_title(self, value):
if len(value.strip()) < 3:
raise serializers.ValidationError("Title must be at least 3 characters.")
return value.strip()
# views.py
from rest_framework import viewsets, permissions
from .models import Article
from .serializers import ArticleSerializer
class ArticleViewSet(viewsets.ModelViewSet):
"""
Uses select_related to avoid N+1 on author lookups.
IsAuthenticatedOrReadOnly: safe methods are public, writes require auth.
"""
serializer_class = ArticleSerializer
permission_classes = [permissions.IsAuthenticatedOrReadOnly]
def get_queryset(self):
return Article.objects.select_related("author").all()
def perform_create(self, serializer):
serializer.save(author=self.request.user)
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.
- 11d ago First seen · 163 lines · 96 tokens per session scan A f4fd19b89f76
django-expert is a skill published in the GitHub repository Jeffallan/claude-skills (11,401 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 1,311 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 2026-08-30.
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