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azure-ai-translation-text-py

Azure AI Text Translation SDK for real-time text translation, transliteration, . Use for translating text content in applications.

56

Quality

71%

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tessl review fix ./skills/azure-ai-translation-text-py/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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.

The content is a lean, code-first API reference with executable, copy-paste-ready examples for authentication, translation, transliteration, language listing, and async usage. Its weaknesses are the absence of any validation or error-recovery guidance for API calls, snippets that depend on variables from earlier sections, and a version-pinned install command that will age. At ~190 lines all inline, some material could be split into reference files.

Suggestions

Add an error-handling/verification section showing how to catch and inspect Azure API exceptions (e.g., HttpResponseError) and validate results, which would raise workflow clarity.

Make each code snippet self-contained (define 'key'/'region' or reference os.environ within the snippet) so examples are fully copy-paste ready.

Move the pinned '==2.0.0' version out of the install command or into a versioning note, and consider splitting the Client Methods and Translation Options detail into a references/ file for progressive disclosure.

DimensionReasoningScore

Conciseness

The body is code-first and lean with virtually no explanation of concepts Claude already knows — sections go straight to install, env vars, auth, and usage. Minor issues keep it from a 5: the pinned version 'azure-ai-translation-text==2.0.0' is time-sensitive information not placed in an old-patterns/deprecated section, and a few small captions ('Convert text from one script to another:') are trimmable. It is clearly above anchor 3, which requires 'some unnecessary explanation'.

4 / 5

Actionability

Guidance is mostly executable: complete auth examples for API key, custom endpoint, and Entra ID, plus working translate, transliterate, get_supported_languages, options, and async snippets covering the common cases. Minor gaps prevent a 5: snippets like the custom-endpoint and async examples reference 'key' and 'region' variables defined only in earlier sections, and there are no error-handling examples.

4 / 5

Workflow Clarity

The ordering is coherent (installation → environment → authentication → usage examples), but the skill is a ~190-line API reference with no validation checkpoints: no guidance on verifying authentication worked, handling API errors/exceptions, or checking the translate result for errors. This matches anchor 3 ('Steps listed but validation gaps; sequence present but checkpoints missing or implicit') — not 4, which requires most checkpoints present.

3 / 5

Progressive Disclosure

The body is a single SKILL.md with no bundle files (no references/, scripts/, or assets/ exist), organized into clear sections with a client-methods table, so navigation is easy and nothing is buried. It exceeds 50 lines, so the simple-skill exception to score 5 doesn't apply, and options like the Client Methods table and Translation Options could arguably live in a reference file — matching anchor 4 ('Good structure; most content is appropriately placed... minor organization gaps') rather than 5, which expects well-signaled one-level-deep references.

4 / 5

Total

15

/

20

Passed

Description

62%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.

The description correctly uses third person, identifies the domain and two core capabilities, and includes a 'Use for...' trigger clause, giving it adequate completeness. However, it is truncated mid-sentence ('transliteration, .'), omits other capabilities like language operations, and its trigger terms lack natural synonyms and specificity, leaving it at a moderately good level overall.

Suggestions

Fix the truncated sentence and enumerate the full capability set, e.g., 'Azure AI Text Translation SDK for real-time text translation, transliteration, and language operations (listing supported languages).'

Make the 'when' clause concrete with natural trigger phrases, e.g., 'Use when translating or transliterating text with Azure Translator, listing supported languages, or working with the azure-ai-translation-text package.'

Add natural synonyms and package/file identifiers users would mention ('translate text', 'Azure Translator', 'azure-ai-translation-text') to improve trigger term coverage and distinctiveness.

DimensionReasoningScore

Specificity

The description names the domain ("Azure AI Text Translation SDK") and lists two concrete actions ("real-time text translation, transliteration"), but coverage is not comprehensive — language operations and other capabilities are omitted, and the sentence is visibly truncated ("transliteration, ."). This matches the anchor 'Names domain and 1-2 concrete actions, but not comprehensive' rather than 4, which requires several specific actions with only minor gaps.

3 / 5

Completeness

It answers 'what' clearly ("Azure AI Text Translation SDK for real-time text translation, transliteration") and includes an explicit trigger clause ("Use for translating text content in applications"), so the missing-trigger cap of 3 does not apply. The 'when' portion is generic ('in applications') and could be more specific, matching anchor 4 ('Has both what and when; when could be more explicit or specific') rather than 5, which demands concrete trigger phrases.

4 / 5

Trigger Term Quality

Relevant keywords like "translation", "transliteration", and "Azure" are present, but common natural variations users would say are missing ("translate", "Azure Translator", language-specific phrases). This fits 'Some relevant keywords but missing common variations or synonyms'; a 4 would require good coverage like 'translating text, Azure Translator, language detection'.

3 / 5

Distinctiveness Conflict Risk

The Azure-specific SDK framing gives it a clear niche with minimal overlap risk, but it could still be confused with other translation-related skills (general translation tools, other cloud translator SDKs) since it lacks more distinctive trigger phrases. This fits 'Mostly distinct; minor overlap risk with closely related skills'; a 5 would require distinct triggers the description does not provide.

4 / 5

Total

14

/

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.

Validation — 15 / 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

Path

skills/azure-ai-translation-text-py/SKILL.md

Reviewed

Table of Contents

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