dj-signals

dj-signals is a skill for Claude Code from dvf/opinionated-django. It costs 65 tokens per session (958 once invoked), scanned A, original, MIT.

A Django pattern for running follow-up work after a business operation, using Celery to process tasks in the background. Django is a Python web framework, and Celery is a task queue for delayed or background jobs.

In plain words
What is it for?
Use it to trigger post-commit notifications, cache invalidation, analytics, or coordination with other services after a Django operation succeeds.
Why use it?
It prevents side effects such as notifications or cache updates from being lost when a database transaction fails or the process crashes, while allowing failed tasks to be retried.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to trigger post-commit notifications, cache invalidation, analytics, or coordination with other services after a Django operation succeeds.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dvf/opinionated-django/dj-signals
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.

Any agent
npx skills add dvf/opinionated-django --skill dj-signals
Clone the repo
git clone --depth 1 https://github.com/dvf/opinionated-django

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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agentmods 80×15 button for dj-signals

Your own site · 80×15
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Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 958 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00065 $0.00958
Opus 5.5 $0.00026 $0.00383
Sonnet 5.5 $0.00013 $0.00192
Haiku 4.5 $0.00006 $0.00096

Measured 2mo ago against content hash c0387b9f716c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dj-signals 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 2mo 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.

skills/dj-signals/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add a Reliable Signal

You are adding a reliable signal to an opinionated Django project. Standard Django signals are synchronous and unreliable — receiver failures propagate to the sender, there's no delivery guarantee if the process crashes after commit, and there's no retry. This project uses the reliable signals pattern with Celery instead.

The pattern implemented here is adapted from Haki Benita's article Reliable Signals in Django. Credit for the original design goes to him — read the full article for the rationale and edge cases.

How It Works

Signal receiver tasks are enqueued inside the same database transaction as the business operation. If the transaction rolls back, the tasks roll back too. If it commits, the tasks are guaranteed to be in the queue. Celery processes them asynchronously with at-least-once delivery.

BEFORE WRITING CODE

  1. Find existing signals with Grep for ReliableSignal under src/
  2. Find existing receivers with Glob for src/**/receivers.py
  3. Identify which service method should emit the signal and what data needs to travel with it

Step 1: Define the Signal

File: src/<app>/signals.py

from project.signals import ReliableSignal

my_event = ReliableSignal()

Step 2: Send from the Service Layer

Call send_reliable() inside a transaction.atomic() block. Arguments MUST be JSON-serializable — pass entity IDs, never model instances:

from django.db import transaction

def create_entity(self, name: str) -> MyEntityDTO:
    with transaction.atomic():
        entity = self.repo.create(name=name)
        my_event.send_reliable(sender=None, entity_id=entity.id)
    return entity

Step 3: Write the Receiver

File: src/<app>/receivers.py

from django.dispatch import receiver
from .signals import my_event

@receiver(my_event)
def on_my_event(obj_id: str, **kwargs):
    # Idempotent: guard against duplicate execution
    if already_processed(obj_id):
        return
    do_work(obj_id)

Read the full file on GitHub · 117 lines

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. 2mo ago First seen · 117 lines · 65 tokens per session scan A c0387b9f716c

Subscribe to this mod's changes

dj-signals is a skill published in the GitHub repository dvf/opinionated-django (111 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 958 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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