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Skills azure-storage-file-datalake-py
📦
azure-storage-file-datalake-py
Content revision r2 Medium Risk ⚙️ External commands🌐 Network access📁 Filesystem access
Build Azure Data Lake Workflows in Python
Azure Data Lake SDK workflows require several related clients and operation patterns. This skill provides focused Python examples for files, directories, ACLs, and asynchronous access.
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 "azure-storage-file-datalake-py" from https://skillstore.io/skills/sickn33-azure-storage-file-datalake-py.md and its manifest at https://skillstore.io/api/skills/sickn33-azure-storage-file-datalake-py/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 "azure-storage-file-datalake-py". List every item under the raw directory.
Expected outcome:
- Recursive listing selected for raw.
- Each result identifies whether the path is a file or directory.
- No content is modified.
Using "azure-storage-file-datalake-py". Upload a large report and preserve its directory structure.
Expected outcome:
- The target directory and file path are identified.
- The report is appended in ordered chunks and flushed at the final length.
- File properties are checked after upload.
Using "azure-storage-file-datalake-py". Change access for a project directory.
Expected outcome:
The response identifies the target directory, proposes least-privilege ACL changes, and requests confirmation before applying them.
Security Audit
Medium Riskv5 • 7/23/2026 Open versioned report
All 36 static findings are false positives caused by Markdown syntax, Azure endpoint placeholders, API method names, and a fixed-path download example. No prompt injection or malicious exfiltration intent was found. The examples do include destructive and access-changing operations without explicit safety checks.
1
Files scanned
220
Lines analyzed
0
Review items
0
False positives ignored
Confirmed security concerns (1)
Medium
Destructive Storage Operations Lack Safeguards
Examples delete file systems, directories, and files, overwrite content, rename directories, and change ACLs without confirmation or scope validation.
The cited examples directly perform destructive or access-changing actions, and the surrounding guidance provides no confirmation or rollback controls.
Risk Factors
⚙️ External commands (32)
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🌐 Network access (3)
📁 Filesystem access (1)
Audited by: codex View Audit History →
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<iframe src="https://skillstore.io/embed/skills/sickn33-azure-storage-file-datalake-py.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
sickn33. (2026). azure-storage-file-datalake-py security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-azure-storage-file-datalake-py/audits/5BibTeX citation
@techreport{sickn33-sickn33-azure-storage-file-datalake-py-2026,
author = {sickn33},
title = {azure-storage-file-datalake-py security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-azure-storage-file-datalake-py/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: "azure-storage-file-datalake-py security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/sickn33-azure-storage-file-datalake-py/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-azure-storage-file-datalake-py:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance
What You Can Build
Prepare Analytics Storage
Create hierarchical directories and upload source files for an analytics pipeline.
Implement Storage Features
Add Python operations for uploads, downloads, listings, metadata, and file movement.
Manage Access Controls
Review directory ACL patterns and recursive access updates for governed storage.
Try These Prompts
Connect to a Data Lake
Show a Python connection pattern for Azure Data Lake Storage using DefaultAzureCredential and my account name.
Upload and Download Files
Design a Python workflow that uploads a local file, verifies its properties, and downloads it to a specified path.
Build a Directory Workflow
Create a Python approach for nested directories, recursive path listing, metadata updates, and a confirmed directory rename.
Design an Async Ingestion Flow
Plan an asynchronous Python ingestion flow with chunked uploads, explicit offsets, validation, retries, and least-privilege ACL updates.
Best Practices
- Use DefaultAzureCredential and grant only the permissions required for each operation.
- Confirm resource names and preserve recoverable copies before delete, overwrite, rename, or ACL changes.
- Use ordered append offsets, flush the final length, and verify file properties after large uploads.
Avoid
- Do not embed account keys, connection strings, or user credentials in prompts or source files.
- Do not run delete, overwrite, rename, or recursive ACL operations without explicit confirmation.
- Do not assume placeholder account names, paths, permissions, or network settings match the target environment.
Frequently Asked Questions
Which Azure service does this skill cover?
It covers Azure Data Lake Storage Gen2 through the azure-storage-file-datalake Python package.
How does authentication work?
The examples use DefaultAzureCredential, which searches supported local and hosted Azure identity sources.
Can it upload large files?
Yes. It shows ordered append operations followed by a flush at the final file length.
Does it support asynchronous applications?
Yes. It includes asynchronous service, file system, and file client usage.
Can it manage directory permissions?
Yes. It shows reading ACLs, setting access control, and recursive ACL updates.
Does it run operations automatically?
No. The skill provides guidance and examples; credentials, targets, validation, and execution remain environment-specific.
Developer Details
Author
sickn33License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526
Maintenance freshness
7/26/2026
Usage
5 downloads · 157 views
File structure
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