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Skills fastapi-pro
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fastapi-pro
Content revision r1 Safe ⚙️ External commands
Build Production FastAPI Services
Production FastAPI services require careful async, data, security, testing, and deployment decisions. This skill provides structured guidance for designing and improving modern Python APIs.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "fastapi-pro" from https://skillstore.io/skills/sickn33-fastapi-pro.md and its manifest at https://skillstore.io/api/skills/sickn33-fastapi-pro/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.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "fastapi-pro". Design an endpoint that creates orders using async SQLAlchemy.
Expected outcome:
- Request and response model plan with validation rules.
- Transaction flow covering order creation, rollback, and conflict handling.
- Async test plan for success, invalid input, and database failure cases.
Using "fastapi-pro". Review a slow FastAPI product listing endpoint.
Expected outcome:
- Likely bottlenecks ranked by query, serialization, connection, and cache impact.
- Optimization plan using eager loading, bounded pagination, pooling, and measured caching.
- Verification plan with query counts, latency percentiles, load tests, and regression tests.
Using "fastapi-pro". Prepare a WebSocket notification service for production.
Expected outcome:
- Connection lifecycle and authentication design.
- Scaling plan using shared messaging, backpressure, reconnect handling, and graceful shutdown.
- Monitoring plan for active connections, delivery failures, queue depth, and latency.
Security Audit
Safev5 • 7/24/2026 Open versioned report
The static finding at line 24 is a false positive caused by Markdown backticks around a file path. SKILL.md contains guidance only, with no shell execution or prompt injection evidence. The referenced resource is absent, which limits content completeness but does not create a security risk.
1
Files scanned
196
Lines analyzed
0
Review items
0
False positives ignored
Risk Factors
⚙️ External commands (1)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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APA citation
sickn33. (2026). fastapi-pro security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-fastapi-pro/audits/5BibTeX citation
@techreport{sickn33-sickn33-fastapi-pro-2026,
author = {sickn33},
title = {fastapi-pro security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-fastapi-pro/audits/5},
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: "fastapi-pro security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-24"
url: "https://skillstore.io/skills/sickn33-fastapi-pro/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-fastapi-pro:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
70
Community
83
Spec Compliance
What You Can Build
Create an async API
Design endpoints, Pydantic models, dependencies, database sessions, error responses, and tests for a new FastAPI service.
Prepare a service for production
Add authentication, observability, caching, containers, health checks, deployment settings, and scaling guidance.
Review an API architecture
Evaluate service boundaries, data access, integrations, performance risks, security controls, and maintainability.
Try These Prompts
Create a basic endpoint
Create a FastAPI endpoint for [resource]. Include Pydantic V2 request and response models, validation, error handling, and focused tests.
Add async database access
Design async SQLAlchemy 2.0 persistence for [resource]. Include session lifecycle, repository methods, transaction handling, migrations, and tests.
Secure and observe a service
Improve this FastAPI service for production. Add [authentication method], authorization, rate limiting, structured logging, metrics, health checks, and security tests.
Design a scalable architecture
Design a FastAPI architecture for [workload] at [traffic level]. Address service boundaries, concurrency, caching, messaging, failure handling, observability, deployment, and load testing.
Best Practices
- Provide expected traffic, data stores, deployment platform, security requirements, and current library versions.
- Request tests and measurable acceptance criteria with every implementation or optimization task.
- Validate generated guidance against official documentation and the actual runtime environment.
Avoid
- Do not use blocking database or network operations inside async request handlers.
- Do not accept generic production advice without sharing workload, failure, security, and deployment constraints.
- Do not deploy generated authentication, migration, or concurrency changes without review and testing.
Frequently Asked Questions
Which FastAPI versions does this skill target?
It targets FastAPI 0.100 and newer patterns. Confirm compatibility with your installed FastAPI, Pydantic, and SQLAlchemy versions.
Can it design async database access?
Yes. It covers SQLAlchemy 2.0 async sessions, transactions, pooling, migrations, repositories, and query optimization.
Does it cover API security?
Yes. It provides guidance for OAuth2, JWT, API keys, authorization, CORS, security headers, validation, and rate limiting.
Can it help with testing?
Yes. It supports pytest, async integration tests, mocks, coverage, contract tests, and performance testing strategies.
Does it deploy or operate services?
No. It can propose Docker, Kubernetes, CI, server, monitoring, and scaling configurations, but you must apply and validate them.
Is the referenced implementation playbook available?
No. The package contains only SKILL.md, so the referenced resources/implementation-playbook.md file is unavailable.
Developer Details
Author
sickn33License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
88a8e9a07f4c54ab105c1c41b6267c287146b07b
Maintenance freshness
7/26/2026
Usage
10 downloads · 193 views
File structure
📄 SKILL.md
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