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 Cypsy1714/cchad --skill django-skillgit clone --depth 1 https://github.com/Cypsy1714/cchadWrote 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/cypsy1714/cchad/django-skill)<a href="https://agentmods.dev/skills/cypsy1714/cchad/django-skill"><img src="https://agentmods.dev/badge/skills/cypsy1714/cchad/django-skill/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/cypsy1714/cchad/django-skill"><img src="https://agentmods.dev/badge/skills/cypsy1714/cchad/django-skill.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 | $0.00016 | $0.00229 |
| Opus 5.5 | $0.00006 | $0.00092 |
| Sonnet 5.5 | $0.00003 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
django-conventions 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.
What it actually says
Django conventions
Structure
- Split the project into focused apps; keep each app's models, views, and urls together.
- Keep views thin. Put business logic in model methods, managers, or a services module.
- Read settings from the environment (django-environ or
os.environ); never commit secrets. KeepDEBUG = Falseoutside local dev.
ORM
- Avoid N+1 queries: use
select_related(FK) andprefetch_related(M2M/reverse). - Push filtering into the database with querysets; don't loop in Python over full tables.
- Add custom
Manager/QuerySetmethods for reusable queries. - Always create and review migrations; never edit the database by hand.
APIs & safety
- Use Django REST Framework serializers for API input/output and validation.
- Rely on the ORM and the template auto-escaping to avoid SQL injection and XSS.
- Enforce permissions in one place, not scattered per view.
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 · 24 lines · 16 tokens per session scan A 2add48db9b6c
django-conventions is a skill published in the GitHub repository Cypsy1714/cchad (1 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 229 once invoked, about $0.0001 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 2026-08-31.
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