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azure-storage-file-datalake-py

Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.

58

Quality

67%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/azure-storage-file-datalake-py/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a solid API reference skill with excellent actionability—every section provides executable, concrete code examples covering the full range of ADLS Gen2 operations. Its main weaknesses are the lack of validation/error-handling guidance for destructive or multi-step operations (deletes, append+flush), and the monolithic structure that could benefit from splitting advanced topics into separate files. The 'When to Use' section is boilerplate filler that should be removed.

Suggestions

Add error handling and validation steps for destructive operations (delete) and multi-step operations (append_data + flush_data), e.g., try/except blocks and verification that operations succeeded.

Remove the meaningless 'When to Use' section or replace it with genuinely useful guidance about when to choose ADLS Gen2 over Blob Storage.

Consider splitting ACL operations, async client usage, and advanced file operations into separate referenced files to improve progressive disclosure.

DimensionReasoningScore

Conciseness

Generally efficient with code examples that earn their place. Minor verbosity in the Best Practices section (e.g., 'Use hierarchical namespace for file system semantics' is somewhat obvious) and the 'When to Use' section is a meaningless filler sentence. The client hierarchy table is useful reference material.

4 / 5

Actionability

Fully executable, copy-paste ready code examples covering all common operations: authentication, CRUD for file systems/directories/files, ACLs, async usage, and chunked uploads. Each code block is concrete and complete.

5 / 5

Workflow Clarity

The skill is primarily a reference/API guide rather than a multi-step workflow, so individual operations are clear. However, the append_data + flush_data pattern is a multi-step process that lacks validation (no error handling or verification that flush succeeded). Delete operations have no confirmation or validation steps.

3 / 5

Progressive Disclosure

Content is well-sectioned with clear headers, but at ~150 lines it's a fairly long monolithic file. The ACL section, async client section, and detailed file operations could reasonably be split into separate reference files. No bundle files exist to offload content to.

3 / 5

Total

15

/

20

Passed

Description

62%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description adequately identifies the technology and provides a 'Use for' clause, making it functional for skill selection. However, it lacks concrete action verbs (e.g., 'upload', 'download', 'manage ACLs') and misses common abbreviations and synonyms users would naturally use like 'ADLS', 'data lake', or the package name. It's serviceable but could be significantly improved with more specific capabilities and richer trigger terms.

Suggestions

Add concrete actions like 'upload/download files, create/delete directories, manage access control lists (ACLs), set file permissions' to improve specificity.

Include common abbreviations and synonyms users would naturally say: 'ADLS', 'ADLS Gen2', 'data lake', 'datalake', 'azure-storage-file-datalake'.

Expand the 'Use for' clause with more explicit trigger scenarios, e.g., 'Use when the user needs to interact with Azure Data Lake, manage hierarchical namespaces, or perform big data file operations in Python.'

DimensionReasoningScore

Specificity

Names the domain (Azure Data Lake Storage Gen2) and mentions a few actions/use cases ('hierarchical file systems, big data analytics, file/directory operations'), but these are more categories than concrete actions like 'upload files', 'create directories', 'set ACLs', etc.

3 / 5

Completeness

Has a clear 'what' (Azure Data Lake Storage Gen2 SDK for Python) and a 'when' clause ('Use for hierarchical file systems, big data analytics, and file/directory operations'), though the 'when' could be more explicit with user-facing trigger phrases rather than just listing broad use case categories.

4 / 5

Trigger Term Quality

Includes relevant keywords like 'Azure Data Lake Storage Gen2', 'big data analytics', 'file/directory operations', and 'hierarchical file systems', but misses natural user terms like 'ADLS', 'Gen2', 'blob storage', 'data lake', 'datalake', or the Python package name 'azure-storage-file-datalake'.

3 / 5

Distinctiveness Conflict Risk

Fairly distinct due to the specific mention of 'Azure Data Lake Storage Gen2 SDK for Python', which narrows the scope well. Minor overlap risk with general Azure storage or blob storage skills, but the Gen2 and hierarchical file system specificity helps differentiate.

4 / 5

Total

14

/

20

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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