superagent: Skill for Claude Code

.agents/skills/python-background-jobs/SKILL.md

python-background-jobs is a skill for Claude Code, Codex from RudyCity/superagent. It costs 45 tokens per session (1,667 once invoked), scanned A, original, MIT.

A guide to running Python work outside the user's request, using queues and worker processes. A task queue stores work so another process can complete it later.

In plain words
What is it for?
Use it for emails, notifications, webhooks, report generation, file and media processing, long-running tasks, and event-driven systems.
Why use it?
It keeps slow, unreliable, or retryable work from making a web request wait. The application can respond quickly while workers handle the job in the background.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; installed under .agents/ (shared by several agents).

This is RudyCity/superagent's own configuration. It tells Claude Code and Codex how to work on superagent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything superagent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to RudyCity/superagent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/RudyCity/superagent/main/.agents/skills/python-background-jobs/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/RudyCity/superagent

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for python-background-jobs

README.md
[![agentmods](https://agentmods.dev/badge/skills/rudycity/superagent/python-background-jobs.svg)](https://agentmods.dev/skills/rudycity/superagent/python-background-jobs)
Your own site
<a href="https://agentmods.dev/skills/rudycity/superagent/python-background-jobs"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/python-background-jobs.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,667 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 $0.00045 $0.01667
Opus 5 $0.00023 $0.00834
Sonnet 5 $0.00009 $0.00333
Haiku 4.5 $0.00005 $0.00167

Measured 4d ago against content hash ea99e3f1d4df, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

python-background-jobs 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 4d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.agents/skills/python-background-jobs/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Background Jobs & Task Queues

Decouple long-running or unreliable work from request/response cycles. Return immediately to the user while background workers handle the heavy lifting asynchronously.

When to Use This Skill

  • Processing tasks that take longer than a few seconds
  • Sending emails, notifications, or webhooks
  • Generating reports or exporting data
  • Processing uploads or media transformations
  • Integrating with unreliable external services
  • Building event-driven architectures

Core Concepts

1. Task Queue Pattern

API accepts request, enqueues a job, returns immediately with a job ID. Workers process jobs asynchronously.

2. Idempotency

Tasks may be retried on failure. Design for safe re-execution.

3. Job State Machine

Jobs transition through states: pending → running → succeeded/failed.

4. At-Least-Once Delivery

Most queues guarantee at-least-once delivery. Your code must handle duplicates.

Quick Start

This skill uses Celery for examples, a widely adopted task queue. Alternatives like RQ, Dramatiq, and cloud-native solutions (AWS SQS, GCP Tasks) are equally valid choices.

from celery import Celery

app = Celery("tasks", broker="redis://localhost:6379")

@app.task
def send_email(to: str, subject: str, body: str) -> None:
    # This runs in a background worker
    email_client.send(to, subject, body)

# In your API handler
send_email.delay("[email protected]", "Welcome!", "Thanks for signing up")

Fundamental Patterns

Pattern 1: Return Job ID Immediately

For operations exceeding a few seconds, return a job ID and process asynchronously.

from uuid import uuid4
from dataclasses import dataclass
from enum import Enum
from datetime import datetime

class JobStatus(Enum):
    PENDING = "pending"
    RUNNING = "running"
    SUCCEEDED = "succeeded"
    FAILED = "failed"

@dataclass
class Job:
    id: str
    status: JobStatus
    created_at: datetime
    started_at: datetime | None = None
    completed_at: datetime | None = None
    result: dict | None = None
    error: str | None = None

# API endpoint
async def start_export(request: ExportRequest) -> JobResponse:
    """Start export job and return job ID."""
    job_id = str(uuid4())

    # Persist job record
    await jobs_repo.create(Job(
        id=job_id,
        status=JobStatus.PENDING,
        created_at=datetime.utcnow(),
    ))

    # Enqueue task for background processing
    await task_queue.enqueue(
        "export_data",
        job_id=job_id,
        params=request.model_dump(),
    )

    # Return immediately with job ID
    return JobResponse(
        job_id=job_id,
        status="pending",
        poll_url=f"/jobs/{job_id}",
    )

Read the full file on GitHub · 242 lines

Files

What ships with it

1 file 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. 4d ago First seen · 242 lines · 45 tokens per session scan A ea99e3f1d4df

Subscribe to this mod's changes

python-background-jobs is a skill published in the GitHub repository RudyCity/superagent (21 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 1,667 once invoked, about $0.0002 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 2026-09-03.