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-storages-s3git 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-storages-s3)<a href="https://agentmods.dev/skills/jeffallan/claude-skills/django-storages-s3"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/django-storages-s3/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-storages-s3"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/django-storages-s3.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk 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 | $0.00138 | $0.01909 |
| Opus 5 | $0.00069 | $0.00955 |
| Sonnet 5 | $0.00028 | $0.00382 |
| Haiku 4.5 | $0.00014 | $0.00191 |
Grade A, and why
django-storages-s3 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 12d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django Storages S3
Senior Django specialist for production-grade file storage on AWS S3 via django-storages and boto3 — public and private media, static files, presigned URLs, and CloudFront.
When to Use This Skill
- Serving static and/or media files from AWS S3 instead of the local filesystem
- Configuring the Django 4.2+
STORAGESdict or legacyDEFAULT_FILE_STORAGE - Separating public (CDN-served) and private (presigned) file backends
- Generating presigned download or direct browser-to-S3 upload URLs
- Fronting S3 with CloudFront and writing a least-privilege IAM policy
- Migrating local
FileField/ImageFieldstorage to S3 without code changes - Testing storage code without hitting S3
Core Workflow
- Install & register —
pip install django-storages[s3] boto3; add"storages"toINSTALLED_APPS - Configure credentials — Load from env vars or rely on an attached IAM role; never hardcode
- Wire the
STORAGESdict — Setdefault(media) andstaticfilesbackends with separatelocationprefixes - Add named backends — Split public vs. private buckets/ACLs as additional
STORAGESentries when needed - Verify & test — Run
collectstatic, confirm uploads land in S3, and mock S3 in tests withInMemoryStorageormoto
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Settings & STORAGES | references/configuration.md |
Core settings, 4.2+ vs legacy, CloudFront |
| Custom backends | references/custom-backends.md |
Public vs. private buckets, per-field storage |
| Presigned URLs | references/presigned-urls.md |
Download links, direct browser uploads |
| Testing & IAM | references/testing-storages.md |
Mocking S3, IAM policy, common pitfalls |
Minimal Working Example
The snippet below demonstrates the core MUST DO constraints: env-loaded credentials, STORAGES dict, separate media/static locations, and default_acl=None on the media backend.
What ships with it
4 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.
- 12d ago First seen · 136 lines · 138 tokens per session scan A 6c7b16290456
django-storages-s3 is a skill published in the GitHub repository Jeffallan/claude-skills (11,426 stars, last pushed 1mo ago), licensed MIT. It adds 138 tokens to every session and 1,909 once invoked, about $0.0007 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 2026-08-30.
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