async-python-patterns
Build Async Python Systems
Async Python code can fail through blocking calls, weak cancellation, or uncontrolled concurrency. This skill gives practical asyncio patterns for reliable services, APIs, scrapers, and tests.
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Review the Skillstore skill "async-python-patterns" from https://skillstore.io/skills/sickn33-async-python-patterns.md and its manifest at https://skillstore.io/api/skills/sickn33-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 synchronous service calls three APIs before responding.
Expected outcome:
- Recommended pattern: create bounded concurrent tasks with shared timeout budgets.
- Add per-request error handling so one failed call does not hide other results.
- Test timeout and cancellation paths with async-aware tests.
Using "async-python-patterns". A scraper starts hundreds of requests at once.
Expected outcome:
- Recommended pattern: use semaphores and connection pooling to cap active requests.
- Add backpressure so new work waits when the queue is full.
- Record failures separately from successful responses for retry decisions.
Using "async-python-patterns". An async test sometimes hangs.
Expected outcome:
- Recommended checks: missing await, blocking calls, and tasks that ignore cancellation.
- Add explicit timeout assertions and cleanup checks.
- Verify that background tasks finish before the test ends.
Security Audit
Medium RiskMost static findings are false positives: markdown examples with placeholder URLs, task construction, and inline-code file paths. One semantic issue remains: the async database example builds SQL with f-strings around user_id, which can teach unsafe query construction. No prompt injection, hidden command execution, or data exfiltration intent was found.
Confirmed security concerns (1)
Risk Factors
๐ Network access (8)
โ๏ธ External commands (3)
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APA citation
sickn33. (2026). async-python-patterns security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-async-python-patterns/audits/4BibTeX citation
@techreport{sickn33-sickn33-async-python-patterns-2026,
author = {sickn33},
title = {async-python-patterns security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/sickn33-async-python-patterns/audits/4},
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 4)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/sickn33-async-python-patterns/audits/4"
identifiers:
- type: other
value: "skillstore:sickn33-async-python-patterns:audit:4"
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
Build Async APIs
Design request handlers, background tasks, and timeout rules for non-blocking Python services.
Process I/O Workloads
Use queues, semaphores, batching, and connection pools for concurrent network or database tasks.
Test Async Behavior
Create async tests that cover successful work, failures, timeouts, and cancellation paths.
Try These Prompts
Review this Python workflow and tell me whether asyncio is appropriate. Separate I/O-bound tasks from CPU-bound tasks and note runtime constraints.
Convert this synchronous I/O workflow into an asyncio design. Include tasks, awaits, timeouts, and error handling.
Design an async processing pipeline for these inputs. Add queue limits, semaphores, cancellation rules, and retry boundaries.
Review this async Python service for event loop blocking, leaked tasks, missing awaits, weak cancellation, and missing tests. Prioritize risks.
Best Practices
- Define timeouts, cancellation behavior, and concurrency limits before adding new async tasks.
- Use async-native I/O libraries and parameterized database queries; offload blocking work only when needed.
- Test success, failure, timeout, and cancellation paths with async-aware test tools.
Avoid
- Do not use asyncio for CPU-bound work unless you offload it to a process or thread pool.
- Do not create unbounded tasks without rate limits, queue limits, or backpressure.
- Do not call blocking functions inside async code unless they run outside the event loop.
Frequently Asked Questions
What does this skill help me build?
Does it execute network requests?
Which Python versions fit these patterns?
Can I use it with FastAPI or aiohttp?
Does it include production-ready database code?
Is it suitable for CPU-heavy workloads?
Developer Details
Author
sickn33License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/sickn33/antigravity-awesome_skills/tree/main/skills/async-python-patternsRef
6425ec35f4ac137735cff58cd7877843bba23e3b
Maintenance freshness
7/18/2026
Usage
5 downloads ยท 110 views
File structure