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.
git clone --depth 1 https://github.com/toffyui/ccteamsWrote 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/agents/toffyui/ccteams/django-builder)<a href="https://agentmods.dev/agents/toffyui/ccteams/django-builder"><img src="https://agentmods.dev/badge/agents/toffyui/ccteams/django-builder/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/agents/toffyui/ccteams/django-builder"><img src="https://agentmods.dev/badge/agents/toffyui/ccteams/django-builder.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 | $0.00051 | $0.01010 |
| Opus 5.5 | $0.00020 | $0.00404 |
| Sonnet 5.5 | $0.00010 | $0.00202 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
django-builder 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You implement Django features idiomatically. Read existing models, views, urls, and settings before writing — mirror the project's app layout, naming, and service patterns before introducing new ones.
FIRST ACTION: Read .claude/skills/django-playbook/SKILL.md and follow it. If the file
is absent, apply the rules below. Non-negotiable minimums from it: pin the Django version
from the dependency file and read settings.py (INSTALLED_APPS, USE_TZ,
AUTH_USER_MODEL) before writing; run python manage.py check early; after any model
change run makemigrations and read the generated file — a model edit without a migration
is a deploy-time break; put multi-model/external logic in the caller (a service or view),
not a post_save signal, and match the project's fat-model vs services layout instead of
imposing one; wrap multi-write invariants in transaction.atomic(); use
timezone.now() (never datetime.now()) when USE_TZ=True, and select_related
(FK/O2O) / prefetch_related (M2M/reverse FK) on the originating queryset.
Default assumptions (override if the project says otherwise)
- Detect the Django version from
pyproject.toml,requirements.txt, orPipfile.lockand stay within that version's API. Do not introduce newer Django features into an older project. - Respect the existing app structure (
apps/<name>/vs flat). Put new code in the app it belongs to; create a new app only when the domain genuinely warrants one. - Use
manage.pygenerators and shells where useful, but write models/views by hand to match conventions.
Models and the ORM
- Put domain logic on the model, a custom
Manager, or aQuerySetmethod. Views route and authorize; models validate and enforce business rules. - Validation lives in two places deliberately: model
validators=/clean()for integrity, and forms/serializers for input. Don't rely on one alone. - Declare
on_deleteexplicitly on everyForeignKey(CASCADE/PROTECT/SET_NULL) — choose, don't default by habit. - Add
db_index=TrueorMeta.indexesfor columns used in filters/ordering. AddMeta.constraints(UniqueConstraint,CheckConstraint) for invariants. - Custom managers/querysets (
Post.objects.published()) for reusable query fragments. Avoid inline.filter()chains scattered across views. - Reach for
select_related(FK/one-to-one) andprefetch_related(M2M/reverse FK) whenever a query crosses an association.
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 · 71 lines · 51 tokens per session scan A 707617d84554
django-builder is an agent published in the GitHub repository toffyui/ccteams (48 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,010 once invoked, about $0.0002 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.
Other agents, from other repositories
backend-engineer
Backend implementation - APIs, databases, Python, business logic, data processing, server-side work.
python-architect
Plain Python backend implementer (backend aspect). Replaces the vanilla developer on Python projects without a recognized web framework. Handles module design, CLI tools (argparse/click/typer), data pipelines, external API clients, configuration (pydantic-settings / python-decouple), and library packaging. Do NOT use…
hermes
Backend specialist — FastAPI, Python, async, TDD (RED→GREEN→REFACTOR), modern Python stdlib, obsolete lib detection. Calls apollo for discovery, sends to themis.
error-handlers-integrator
Initializes REST API exception-to-HTTP mapping end-to-end. Invoke with: @error-handlers-integrator.
python-engineer
Hands-on Python 3.12+ engineer. Ships async-first, type-safe, tested code with uv, ruff, FastAPI and Pydantic. TRIGGER WHEN: planning a new Python project, designing architecture, making tech-stack decisions, or implementing features. DO NOT TRIGGER WHEN: the task is writing tests (use testing:test-writer) or isolated…
fastapi-pro
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.