openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
76
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 ./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 clear, distinct capability (audio transcription via OpenAI Whisper API) but is too terse. It lacks a 'Use when...' clause, misses common user trigger terms like 'speech-to-text' or audio file extensions, and doesn't enumerate specific sub-capabilities beyond basic transcription.
Suggestions
Add a 'Use when...' clause, e.g., 'Use when the user wants to transcribe audio files, convert speech to text, or process voice recordings.'
Include natural trigger terms users would say, such as 'speech-to-text', 'convert audio to text', 'voice recording', '.mp3', '.wav', '.m4a'.
List additional concrete capabilities if applicable, such as 'supports multiple audio formats, language detection, and timestamp generation'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (audio transcription) and the specific tool (OpenAI Audio Transcriptions API / Whisper), but only describes a single action ('transcribe audio') without listing additional concrete capabilities like format handling, timestamp extraction, or language detection. | 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. Per rubric guidelines, missing 'Use when' caps completeness at 2, and since the 'what' is also minimal, a score of 1 is appropriate. | 1 / 3 |
Trigger Term Quality | Includes relevant keywords like 'transcribe', 'audio', 'OpenAI', and 'Whisper', but misses common user variations such as 'speech-to-text', 'convert audio to text', 'voice recording', or file extensions like '.mp3', '.wav'. | 2 / 3 |
Distinctiveness Conflict Risk | The description is clearly scoped to a specific niche — audio transcription via a specific API (OpenAI Whisper) — making it highly unlikely to conflict with other skills. | 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, concise skill that does exactly what it needs to. It provides immediately actionable commands with useful flag variations, clear defaults, and API key configuration—all without any unnecessary verbosity. The structure is clean and easy to follow for a simple single-purpose skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every line serves a purpose. No unnecessary explanations of what Whisper is, how audio transcription works, or what curl does. Lean and efficient. | 3 / 3 |
Actionability | Provides concrete, copy-paste ready commands with real flags and file paths. Multiple usage examples cover common scenarios (language, prompt, JSON output, custom output path). | 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 and flag variations shown. No multi-step or destructive operations require 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) that are easy to scan. | 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 | |
- Repository
- attilaczudor/Test
- Commit
b3cef5f
- Reviewed
Table of Contents
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