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openai-whisper-api

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

Install with Tessl CLI

npx tessl i github:qsimeon/openclaw-engaging --skill openai-whisper-api
What are skills?

76

2.27x

Does it follow best practices?

Evaluation91%

2.27x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Discovery

40%

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 clearly identifies its specific purpose (audio transcription via Whisper API) and has low conflict risk due to its focused scope. However, it lacks explicit trigger guidance ('Use when...') and could benefit from more natural user keywords and additional capability details.

Suggestions

Add a 'Use when...' clause with trigger scenarios like 'Use when the user wants to convert audio to text, transcribe recordings, or mentions speech-to-text'

Include common user terms and file extensions: 'speech-to-text', 'voice recording', '.mp3', '.wav', '.m4a'

Expand capabilities if applicable: mention supported formats, language detection, or timestamp options

DimensionReasoningScore

Specificity

Names the domain (audio transcription) and the specific tool (OpenAI Audio Transcriptions API/Whisper), but only describes one action ('transcribe audio') without listing additional capabilities like format options, language detection, or timestamp generation.

2 / 3

Completeness

Answers 'what' (transcribe audio via Whisper API) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill.

1 / 3

Trigger Term Quality

Includes relevant keywords like 'transcribe', 'audio', 'OpenAI', and 'Whisper', but misses common user variations like 'speech-to-text', 'convert audio to text', 'voice recording', or file extensions like '.mp3', '.wav'.

2 / 3

Distinctiveness Conflict Risk

Clear niche focused specifically on audio transcription via a named API (OpenAI/Whisper), making it unlikely to conflict with other skills like general audio processing or text-to-speech.

3 / 3

Total

8

/

12

Passed

Implementation

100%

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

This is an excellent, well-crafted skill that exemplifies token efficiency and actionability. It provides everything needed to use the Whisper API transcription script without any unnecessary explanation, with clear examples covering the most common use cases.

DimensionReasoningScore

Conciseness

Extremely lean and efficient. No unnecessary explanations of what Whisper is or how audio transcription works. Every line provides actionable information.

3 / 3

Actionability

Provides copy-paste ready commands with concrete examples covering common use cases (different formats, languages, prompts, JSON output). The script path and flag syntax are explicit.

3 / 3

Workflow Clarity

This is a simple single-task skill (run a script to transcribe audio). The single action is unambiguous with clear defaults stated. No multi-step process requiring validation checkpoints.

3 / 3

Progressive Disclosure

For a skill under 50 lines with no need for external references, the content is well-organized into logical sections (quick start, flags, API key configuration). Clear and navigable.

3 / 3

Total

12

/

12

Passed

Validation

72%

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

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

8

/

11

Passed

Reviewed

Table of Contents

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