openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
73
70%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
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 and misses common user-facing trigger terms like 'speech-to-text', 'convert audio to text', or file format mentions, which would help Claude select it appropriately.
Suggestions
Add a 'Use when...' clause such as 'Use when the user wants to transcribe audio files, convert speech to text, or mentions Whisper, .mp3, .wav, or voice recordings.'
Include additional natural trigger terms users might say: 'speech-to-text', 'convert audio to text', 'voice recording', '.mp3', '.wav', '.m4a'.
List more specific capabilities if applicable, such as supported formats, language detection, or 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 the 'what' is also minimal, warranting a 1. | 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', '.mp3', '.wav', or 'subtitle'. | 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, covers common use cases with flag examples, and includes API key configuration—all without a single wasted token. The structure is clean and appropriate for the skill's simplicity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every line serves a purpose. No unnecessary explanations of what Whisper is, what audio transcription means, or how APIs work. 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 a single purpose, the content is well-organized into logical sections (quick start, flags, API key config) without needing external references. Easy to scan and 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 | |
- Repository
- qsimeon/openclaw-engaging
- Commit
4467e04
- Reviewed
Table of Contents
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