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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.

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/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

76%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, concise SDK cookbook with strong code coverage. Its main weakness is the absence of validation/retry feedback loops around destructive and batch operations.

Suggestions

Add an explicit validate→fix→retry loop after submit_transaction (e.g. on TableTransactionError, inspect e.error, fix the offending operation, and resubmit) to satisfy the batch/destructive feedback-loop requirement.

Wrap delete_table / delete_entity examples with a guard or confirmation checkpoint (e.g. verify the table/entity exists, or confirm before deleting) to make destructive ops safer.

Replace the generic 'When to Use' sentence with a concrete trigger list, or remove it to tighten the closing and improve conciseness.

DimensionReasoningScore

Conciseness

A lean, code-first reference that mostly assumes competence; minor trimmable filler remains (e.g. the vague 'When to Use' sentence: 'This skill is applicable to execute the workflow or actions described in the overview').

4 / 5

Actionability

Fully executable, copy-paste-ready code covers the common cases — authentication, table ops, entity CRUD, parameterized queries, batch transactions, async, and a data-type mapping table.

5 / 5

Workflow Clarity

Sections are logically arranged and the batch example catches TableTransactionError, but destructive (delete) and batch operations lack validate→fix→retry checkpoints, capping this at 3 per the batch/destructive feedback-loop rule.

3 / 5

Progressive Disclosure

No bundle files are present; the single SKILL.md is well-organized into clearly headed sections with content appropriately inline for an SDK quick reference, though it is a long monolithic file.

4 / 5

Total

16

/

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 specific, well-targeted description that names concrete capabilities and includes explicit trigger guidance. It would benefit from a more user-facing 'when to use' phrasing.

DimensionReasoningScore

Specificity

Names the domain ('Azure Tables SDK for Python (Storage and Cosmos DB)') and several concrete actions ('NoSQL key-value storage, entity CRUD, and batch operations'), with only minor coverage gaps.

4 / 5

Completeness

A clear 'what' is paired with a 'Use for...' trigger clause, but the 'when' could be more explicit — it lacks 'when the user mentions...' phrasing that would lift it to a 5.

4 / 5

Trigger Term Quality

Includes natural terms users would say ('Azure Tables', 'NoSQL key-value storage', 'entity CRUD', 'batch operations', 'Storage and Cosmos DB') with good but not exhaustive coverage; a few synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (Azure Tables specifically, Storage and Cosmos DB), with distinct triggers and minimal risk of firing for the wrong skill.

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

Table of Contents

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