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 ./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 is concise and identifies a clear niche (audio transcription via OpenAI Whisper), which gives it strong distinctiveness. However, it lacks a 'Use when...' clause, lists only a single action, and misses common user-facing trigger terms like 'speech-to-text' or audio file format names, significantly reducing its effectiveness for skill selection.
Suggestions
Add an explicit '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 term variations such as 'speech-to-text', 'voice recording', 'mp3', 'wav', 'audio file', and 'convert audio to text'.
List additional 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 supported formats, timestamps, language detection, etc. | 2 / 3 |
Completeness | Describes what it does (transcribe audio via Whisper) but has no explicit 'Use when...' clause or equivalent trigger guidance. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and since the 'when' is entirely absent and the 'what' is minimal, this scores a 1. | 1 / 3 |
Trigger Term Quality | Includes relevant keywords like 'transcribe', 'audio', 'OpenAI', and 'Whisper', which users might naturally say. However, it misses common variations like 'speech-to-text', 'voice recording', 'mp3', 'wav', or 'convert audio to text'. | 2 / 3 |
Distinctiveness Conflict Risk | The description is highly specific to audio transcription via a particular API (OpenAI Whisper), making it clearly distinguishable from other skills and unlikely to conflict with unrelated 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 | |
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Table of Contents
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