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 nimadorostkar/Claude-Skills-collection --skill djangogit clone --depth 1 https://github.com/nimadorostkar/Claude-Skills-collectionWrote 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/nimadorostkar/claude-skills-collection/django)<a href="https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/django"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/django/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/nimadorostkar/claude-skills-collection/django"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/django.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 | $0.00075 | $0.01102 |
| Opus 5.5 | $0.00030 | $0.00441 |
| Sonnet 5.5 | $0.00015 | $0.00220 |
| Haiku 4.5 | $0.00007 | $0.00110 |
Grade A, and why
django 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 16d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django
Purpose
Build Django applications that use the ORM efficiently and the framework's security defaults correctly. Most Django performance problems are one missing select_related away from being fixed.
When to Use
- Building or reviewing a Django application or DRF API.
- Diagnosing slow views caused by the ORM.
- Writing migrations that must run against a large table.
- Auditing Django security settings before launch.
Capabilities
- ORM:
select_related,prefetch_related, annotations, subqueries, bulk operations. - Model design: constraints, indexes, and validation at the database level.
- Migrations, including zero-downtime patterns for large tables.
- Django REST Framework: serializers, viewsets, permissions, pagination.
- Security: the settings that must not be wrong in production.
Inputs
- The application, its models, and the slow view or endpoint if there is one.
- Table sizes, for anything involving migrations.
- Deployment environment and settings module.
Outputs
- Views with a bounded, predictable query count.
- Migrations that do not lock a large table.
- Settings that pass
manage.py check --deploy.
Workflow
- Count the queries —
assertNumQueriesin tests,django-debug-toolbarin development. An N+1 is invisible until you count. - Fix them at the queryset —
select_relatedfor forward foreign keys (a join),prefetch_relatedfor reverse and many-to-many (a second query). Not both, not neither. - Push work into the database —
annotate,aggregate,bulk_create,update. A loop that saves each object issues one query per iteration. - Constrain at the database —
UniqueConstraint,CheckConstraint. Application-level validation does not survive concurrency or a shell script. - Migrate safely — On a large table, adding a column with a default rewrites it. Add nullable, backfill in batches, then set the default.
- Check the deploy settings —
DEBUG = False,ALLOWED_HOSTS,SECURE_*,SECRET_KEYfrom the environment.
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.
- 16d ago Changed · +47 tokens per session e02053458143
- 1mo ago First seen · 108 lines · 28 tokens per session scan A 5ab415b911db
django is a skill published in the GitHub repository nimadorostkar/Claude-Skills-collection (33 stars, last pushed 3d ago), licensed MIT. It adds 75 tokens to every session and 1,102 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.
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