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 unrealandychan/clean-code-skill --skill django-verificationgit clone --depth 1 https://github.com/unrealandychan/clean-code-skillWrote 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/unrealandychan/clean-code-skill/django-verification)<a href="https://agentmods.dev/skills/unrealandychan/clean-code-skill/django-verification"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/django-verification/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/unrealandychan/clean-code-skill/django-verification"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/django-verification.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 | $0.00031 | $0.02806 |
| Opus 5.5 | $0.00012 | $0.01122 |
| Sonnet 5.5 | $0.00006 | $0.00561 |
| Haiku 4.5 | $0.00003 | $0.00281 |
Grade A, and why
django-verification 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 1mo 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.
This is a copy
97% identical to django-verification — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 471 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django Verification Loop
Run before PRs, after major changes, and pre-deploy to ensure Django application quality and security.
When to Activate
- Before opening a pull request for a Django project
- After major model changes, migration updates, or dependency upgrades
- Pre-deployment verification for staging or production
- Running full environment → lint → test → security → deploy readiness pipeline
- Validating migration safety and test coverage
Phase 1: Environment Check
# Verify Python version
python --version # Should match project requirements
# Check virtual environment
which python
pip list --outdated
# Verify environment variables
python -c "import os; import environ; print('DJANGO_SECRET_KEY set' if os.environ.get('DJANGO_SECRET_KEY') else 'MISSING: DJANGO_SECRET_KEY')"
If environment is misconfigured, stop and fix.
Phase 2: Code Quality & Formatting
# Type checking
mypy . --config-file pyproject.toml
# Linting with ruff
ruff check . --fix
# Formatting with black
black . --check
black . # Auto-fix
# Import sorting
isort . --check-only
isort . # Auto-fix
# Django-specific checks
python manage.py check --deploy
Common issues:
- Missing type hints on public functions
- PEP 8 formatting violations
- Unsorted imports
- Debug settings left in production configuration
Phase 3: Migrations
# Check for unapplied migrations
python manage.py showmigrations
# Create missing migrations
python manage.py makemigrations --check
# Dry-run migration application
python manage.py migrate --plan
# Apply migrations (test environment)
python manage.py migrate
# Check for migration conflicts
python manage.py makemigrations --merge # Only if conflicts exist
Report:
- Number of pending migrations
- Any migration conflicts
- Model changes without migrations
Phase 4: Tests + Coverage
# Run all tests with pytest
pytest --cov=apps --cov-report=html --cov-report=term-missing --reuse-db
# Run specific app tests
pytest apps/users/tests/
# Run with markers
pytest -m "not slow" # Skip slow tests
pytest -m integration # Only integration tests
# Coverage report
open htmlcov/index.html
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.
- 1mo ago First seen · 471 lines · 31 tokens per session scan A cb1b6c5938c8
django-verification is a skill published in the GitHub repository unrealandychan/clean-code-skill (12 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 2,806 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to django-verification, differing in 3 lines, and is treated as a copy.
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