Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
76
Quality
70%
Does it follow best practices?
Impact
91%
2.27xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./openclaw/skills/openai-whisper-api/SKILL.mdQuality
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 identifies a specific tool and capability but is too terse to be effective for skill selection. It lacks explicit trigger guidance ('Use when...') and misses common user vocabulary for audio transcription tasks. The specificity of mentioning Whisper/OpenAI API helps with distinctiveness but doesn't compensate for the missing completeness.
Suggestions
Add a 'Use when...' clause with explicit triggers like 'Use when the user wants to transcribe audio, convert speech to text, or process audio/voice recordings'
Include natural user terms such as 'speech-to-text', 'audio file', 'voice recording', '.mp3', '.wav', '.m4a'
Expand capabilities to mention specific features like supported formats, language options, or timestamp generation if applicable
| Dimension | Reasoning | Score |
|---|---|---|
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 | Describes what it does (transcribe audio via Whisper) 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 'transcribe audio', 'OpenAI', and 'Whisper' which are relevant keywords, but misses common user terms like 'speech-to-text', 'convert audio to text', 'voice recording', '.mp3', '.wav', or 'audio file'. | 2 / 3 |
Distinctiveness Conflict Risk | The specific mention of 'OpenAI Audio Transcriptions API (Whisper)' creates a clear niche that is unlikely to conflict with other skills; audio transcription is a distinct domain. | 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 without any unnecessary explanation, with clear examples covering common use cases. The structure is appropriate for the skill's simplicity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely lean and efficient. No unnecessary explanations about what Whisper is or how audio transcription works. Every line provides actionable information. | 3 / 3 |
Actionability | Provides copy-paste ready commands with clear examples for common use cases (different formats, languages, prompts, JSON output). The script path and flag patterns are immediately executable. | 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 easy to navigate. | 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.
Validation — 8 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
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 | |
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Table of Contents
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