django-seedkit

A guided setup procedure for starting a Django project or adding selected components to an existing one.

In plain words
What is it for?
Use it to create a new Django project or extend an existing one with packages and configuration for auth, Stripe payments, REST APIs, Celery, WebSockets, Tailwind, SEO, and related features.
Why use it?
It avoids unnecessary setup and asks about missing choices, such as authentication, payments, background jobs, or styling, before applying them.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/viewflow/seedkit/django-seedkit
Any agent
npx skills add viewflow/seedkit --skill django-seedkit
Clone the repo
git clone --depth 1 https://github.com/viewflow/seedkit

Made for: Claude Code, Codex.

Per session 172 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,660 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00172 $0.04660
Opus 5 $0.00086 $0.02330
Sonnet 5 $0.00034 $0.00932
Haiku 4.5 $0.00017 $0.00466

Measured 2d ago against content hash 53a7b2c1d41c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

django-seedkit scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Start `uv run manage.py runserver --noreload` in the background. `--noreload` drops the StatReloader so the listener is ready sooner; a `sleep 2` then `curl` can still race on slow CI, so poll — and test the flag after
skills/django-seedkit/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

How this skill works

Two paths:

  • New project (empty dir, only .git/ or stub README): run §2 → §8 in order.
  • Existing project (has pyproject.toml and Django code): skip §2–§4. Read references/existing-project.md for the inventory workflow, then jump to §5/§6 and ask only about missing components.

Before either path, run uv --version to confirm uv is installed (references/uv.md).

Every question below names the reference that answers it — read that one file before applying the step, and no others.

For every question that involves a third-party package: 1–2 sentences from the reference's intro on what it adds beyond stock Django, then ask. none (or no) is always a valid answer.

Use answers already given. Before asking any question, scan the user's initial request (and anything they've said since) for the answer. If it's there — explicit ("use PostgreSQL", "with Celery", "no auth") or unambiguous from context — take it as given, note the decision in one line, and move on. Don't re-ask to confirm. Only ask when the answer is genuinely missing or ambiguous.

Preflight — read these before the first tool call of a new-project run: references/new-project.md, references/database.md, and references/conventions.md (the cross-file contract: env var names, Redis DB map, prod compose service shape, SameSite rule, Python pins).

Instructions

1. Open the conversation

Name the groups you'll walk through — Project Foundation (§2), then Developer Experience, Auth & Accounts, Data & Storage, Background & Email, Frontend & Site Basics, SaaS / Product, Real-time (§5.1–5.7), then Production & Deploy (§6) — one sentence each. For existing projects: first follow references/existing-project.md and note what's already detected per group. Invite the user to begin.

2. Project Foundation — new projects only, one question at a time, in order

  1. Project name + one-line purpose (the explicit two-answer pair).
  2. Settings layout: single settings.py or split base/local/production. → references/new-project.md
  3. Database: SQLite or PostgreSQL. → references/database.md
  4. Request handling: wsgi / asgi / asgi+channels. Default wsgi. Decide now — Dockerfile CMD, server choice, and the manage.py/wsgi.py/asgi.py settings defaults all hinge on this; switching later means rewriting deploy artefacts. See references/async.md (and references/realtime.md for the channels mode).
  5. If Postgres: host Postgres or Postgres-in-Docker (docker-compose.yml for the local services). SQLite users skip. → references/docker.md
  6. If the project has a docker-compose.yml (from step 5): dev loop — manage.py on the host via uv run, or in a web container via docker compose. Default host.references/docker.md
  7. Custom user model: yes / no — decide now (see references/custom-user.md).

Read the full file on GitHub · 200 lines

Files

What ships with it

47 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.

Changes

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.

  1. 2d ago First seen · 200 lines · 172 tokens per session scan A 53a7b2c1d41c

Subscribe to this mod's changes

django-seedkit is a skill published in the GitHub repository viewflow/seedkit (62 stars, last pushed 11d ago), licensed MIT. It adds 172 tokens to every session and 4,660 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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