async-python-patterns
Build Async Python Applications
Async Python code can be hard to structure, test, and debug. This skill provides patterns for asyncio, concurrency, timeouts, queues, rate limits, and async testing.
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Review the Skillstore skill "async-python-patterns" from https://skillstore.io/skills/activeinferenceinstitute-async-python-patterns.md and its manifest at https://skillstore.io/api/skills/activeinferenceinstitute-async-python-patterns/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
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Test it
Using "async-python-patterns". A developer asks how to fetch many URLs without overwhelming an API.
Expected outcome:
- A bounded concurrency design using a semaphore and connection pool.
- Timeout and error handling recommendations for each request.
- Testing notes for success, timeout, and partial failure cases.
Using "async-python-patterns". A reviewer asks why an async service sometimes stalls under load.
Expected outcome:
- A checklist of blocking operations that may freeze the event loop.
- Suggestions to move CPU-bound or blocking work into an executor.
- Follow-up checks for cancellation, task leaks, and backpressure.
Using "async-python-patterns". A team wants a pattern for background jobs and async cleanup.
Expected outcome:
- A producer-consumer structure with bounded queues and worker cancellation.
- Guidance for context managers that close connections reliably.
- Operational notes for rate limits, batching, and graceful shutdown.
Security Audit
Medium RiskThe static command-execution findings are false positives from Markdown backticks and Python code fences, not executable shell or Ruby code. The hardcoded URLs and system-reconnaissance detections are examples or resource links. One semantic issue remains: the async database example teaches SQL f-string interpolation and should use parameterized queries.
Confirmed security concerns (1)
Risk Factors
⚙️ External commands (48)
🌐 Network access (9)
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APA citation
ActiveInferenceInstitute. (2026). async-python-patterns security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/activeinferenceinstitute-async-python-patterns/audits/9BibTeX citation
@techreport{activeinferenceinstitute-activeinferenceinstitute-async-python-patterns-2026,
author = {ActiveInferenceInstitute},
title = {async-python-patterns security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/activeinferenceinstitute-async-python-patterns/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "async-python-patterns security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "ActiveInferenceInstitute"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/activeinferenceinstitute-async-python-patterns/audits/9"
identifiers:
- type: other
value: "skillstore:activeinferenceinstitute-async-python-patterns:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
sickn33-async-python-patterns
2026-08-21
activeinferenceinstitute-async-python-patterns
2026-08-21
wshobson-async-python-patterns
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Modernize I/O Workflows
Convert sequential network, file, or database tasks into structured asyncio workflows with timeouts and cleanup.
Design Concurrent Services
Plan task orchestration, queue processing, and rate limiting for APIs, workers, and real-time services.
Review Async Code Quality
Check async code for missing awaits, blocking calls, weak cancellation handling, and unbounded concurrency.
Try These Prompts
Explain how event loops, coroutines, tasks, and await work in Python asyncio. Use simple examples and common mistakes.
Review this sequential Python I/O workflow and propose an asyncio design using gather, timeouts, and clear error handling.
Design an async worker pattern for many API requests. Include semaphores, batching, retries, cancellation, and resource cleanup.
Audit this async Python service for blocking calls, leaked tasks, missing cancellation paths, unsafe database access, and test gaps.
Best Practices
- Use bounded concurrency, timeouts, and cancellation handling for all external I/O.
- Prefer async context managers for resources that need deterministic cleanup.
- Test async success paths, failures, timeouts, and cancellation behavior explicitly.
Avoid
- Do not call blocking sleep, network, file, or database functions directly inside coroutines.
- Do not create unbounded tasks for large input sets without backpressure.
- Do not format untrusted values into SQL strings in async database code.
Frequently Asked Questions
What does this skill help me build?
Does it generate a complete web service?
Which Python features does it cover?
Can it help with aiohttp or FastAPI work?
Does it replace official asyncio documentation?
What should I review before using examples in production?
Developer Details
Author
ActiveInferenceInstituteLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
d46e62089a6dfc9e14ea02eebd9b8e2ad2dfe1f4
Maintenance freshness
7/18/2026
Usage
7 downloads · 328 views
File structure
📄 SKILL.md