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 clearly identifies a specific technology (OpenAI Whisper API) and a core action (transcribe audio), giving it good distinctiveness. However, it lacks a 'Use when...' clause, lists only a single capability, and misses common user-facing trigger terms like 'speech-to-text' or audio file extensions, significantly reducing its effectiveness for skill selection.
Suggestions
Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user wants to transcribe audio, convert speech to text, or process audio/video files (.mp3, .wav, .m4a).'
Include common natural language variations users might say, such as 'speech-to-text', 'voice recording transcription', 'convert audio to text', and common file extensions.
List additional specific capabilities beyond basic transcription, such as supported formats, language options, or timestamp generation, to improve specificity.
| 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', or file extensions like '.mp3', '.wav'. | 2 / 3 |
Distinctiveness Conflict Risk | The description is clearly scoped to a specific niche—audio transcription via the OpenAI Whisper API—which is unlikely to conflict with other skills. The mention of the specific API and technology makes it highly distinguishable. | 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 respects Claude's intelligence and provides immediately actionable commands. The structure is clean with well-organized sections covering the essential information: quick start, flag variations, and API key configuration. No unnecessary verbosity or missing critical information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every line serves a purpose. No unnecessary explanations of what Whisper is or how APIs work. The content is lean, showing only the command, flags, defaults, and API key configuration. | 3 / 3 |
Actionability | Provides fully executable bash commands with concrete flag examples covering common use cases (language, prompt, JSON output). The API key setup is specific with both env var and config file options. | 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 process requiring validation checkpoints. | 3 / 3 |
Progressive Disclosure | For a simple skill under 50 lines, the content is well-organized into logical sections (quick start, flags, API key config). The script itself is referenced via {baseDir}/scripts/transcribe.sh, appropriately keeping implementation details out of the SKILL.md. | 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
- Hung-Reo/hungreo-openclaw
- Commit
a5bf5e0
- Reviewed
Table of Contents
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