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 vigo/claude-skills --skill code-like-djangonoutgit clone --depth 1 https://github.com/vigo/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/vigo/claude-skills/code-like-djangonout)<a href="https://agentmods.dev/skills/vigo/claude-skills/code-like-djangonout"><img src="https://agentmods.dev/badge/skills/vigo/claude-skills/code-like-djangonout/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/vigo/claude-skills/code-like-djangonout"><img src="https://agentmods.dev/badge/skills/vigo/claude-skills/code-like-djangonout.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 | $0.00049 | $0.04857 |
| Opus 5 | $0.00024 | $0.02429 |
| Sonnet 5 | $0.00010 | $0.00971 |
| Haiku 4.5 | $0.00005 | $0.00486 |
Grade A, and why
code-like-djangonout 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 9d 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 — 952 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django Development Skill
When to Use
Use this skill when:
- Writing, reviewing, or refactoring Django applications
- Creating or modifying Django models, views, admin, forms
- Setting up Django project structure and tooling
- Implementing Celery tasks and signals
- Writing Django tests
- Configuring linters (ruff, pylint) for Python/Django
Prerequisites Check
Before starting any Django work:
# Check Python version
python --version
# Check for .python-version file
cat .python-version 2>/dev/null
# Verify virtual environment is active
echo $VIRTUAL_ENV
# Check Django version
python -c "import django; print(django.VERSION)"
# Check if ruff is available
command -v ruff
# Check if pylint is available
command -v pylint
Instructions
General Coding Approach
- All naming and comments must be in English
- Follow Python (PEP 8) and Django conventions
- Virtual environment must be activated
- Detect project's Python version and use appropriate features
- Do not use type annotations (Django doesn't fully rely on them)
- If annotations are needed, import:
from __future__ import annotations
Formatting and Linting
Ruff Setup
python -m pip install ruff
Minimal .ruff.toml:
line-length = 119
indent-width = 4
target-version = "py312"
exclude = [
"**/migrations",
"**/manage.py",
]
[format]
quote-style = "single"
exclude = ["**/manage.py"]
[lint]
select = ["ALL"]
allowed-confusables = ["ı", "'"]
mccabe.max-complexity = 15
ignore = [
"ANN", # annotations
"D", # docstrings (pydocstyle)
"D203", # one-blank-line-before-class
"D213", # multi-line-summary-second-line
"ISC001", # implicit string concat
"COM812", # missing trailing comma
"ERA", # commented out code
"RUF012", # mutable class default
"FBT002", # boolean default positional arg
"TD003", # missing todo link
"FIX002", # line contains todo
"PT009", # pytest unittest assertion
"PT019", # pytest fixture param
"PT027", # pytest unittest raises
"PGH004", # file-wide noqa
"INP001", # implicit namespace package
]
[lint.flake8-quotes]
inline-quotes = "single"
docstring-quotes = "double"
[lint.pylint]
max-statements = 100
max-returns = 20
max-args = 10
max-positional-args = 8
max-branches = 20
[lint.isort]
known-first-party = ["core"]
section-order = [
"future",
"standard-library",
"django",
"third-party",
"first-party",
"local-folder",
]
[lint.isort.sections]
django = ["django"]
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.
- 9d ago First seen · 952 lines · 49 tokens per session scan A b6fb28ee4c8d
code-like-djangonout is a skill published in the GitHub repository vigo/claude-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 4,857 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 2026-08-31.
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