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azure-data-tables-py

Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.

63

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/azure-data-tables-py/SKILL.md

The canonical home for this skill is azure-data-tables-py in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

72%Weight 40%Scale 1-5

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

A highly actionable, well-structured reference with broad executable coverage of the Azure Tables SDK. Its main weaknesses are the absence of validation/verification checkpoints for destructive and batch operations, and a monolithic single-file structure with no progressive disclosure into bundle files.

Suggestions

Add explicit validation/verification steps before destructive calls (e.g., confirm the entity exists before delete_entity, verify a dry-run query before delete_table) and a batch transaction 'verify before commit' checkpoint to raise workflow clarity above the destructive/batch cap of 3.

Split the bulk reference material into one-level-deep bundle files (e.g., references/data-types.md, references/async.md, references/batch.md) and point to them from SKILL.md so the overview stays lean and navigable.

Tighten the opening line and a few redundant inline comments (e.g., '# Create table') to trim residual restatement and push conciseness toward 5.

DimensionReasoningScore

Conciseness

Body is code-dominated with tight one-line comments and tables, with only minor restatement (e.g., the opening line echoes the frontmatter); efficient but not perfectly lean.

4 / 5

Actionability

Provides fully executable, copy-paste-ready code covering installation, auth, table ops, entity CRUD, parameterized queries, batch transactions, and async clients, plus a data-types table.

5 / 5

Workflow Clarity

Operations are well organized by section and the batch block has error handling, but destructive ops (delete_table, delete_entity) and batch transactions lack explicit validation/verification checkpoints, which caps this dimension at 3 per the rubric.

3 / 5

Progressive Disclosure

Well sectioned with clear headers, but for a ~240-line reference doc there are no separate bundle files at all — the full API reference, data types, and async examples are all inlined into SKILL.md with no file-level disclosure.

3 / 5

Total

15

/

20

Passed

Description

78%Weight 40%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.

A solid, third-person description that clearly names the skill's niche and capabilities with a 'Use for...' trigger. It is comprehensive enough to be distinctive, though the 'when' clause could be phrased as more concrete user-situation triggers.

DimensionReasoningScore

Specificity

Names the domain ('Azure Tables SDK for Python (Storage and Cosmos DB)') plus several concrete actions ('NoSQL key-value storage, entity CRUD, and batch operations'), but does not enumerate as many distinct named actions (e.g., queries, async) as the 5-anchor.

4 / 5

Completeness

Has a clear 'what' and a 'when' clause ('Use for...'), but the 'when' restates capabilities rather than giving concrete user-situation trigger phrases, so it is not fully explicit.

4 / 5

Trigger Term Quality

Includes natural terms a user would say ('NoSQL key-value storage', 'entity CRUD', 'batch operations', 'Storage and Cosmos DB'), but misses common synonyms like 'table storage' or file-extension cues that would push it to 5.

4 / 5

Distinctiveness Conflict Risk

'Azure Tables SDK for Python (Storage and Cosmos DB)' carves a clear, specific niche with minimal overlap risk against other storage or NoSQL skills.

5 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

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

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