openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
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/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 niche (local Whisper CLI transcription without an API key) which makes it distinctive, but it lacks specific actions, natural trigger terms users would say, and an explicit 'Use when...' clause. It reads more like a tagline than a functional skill description.
Suggestions
Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user wants to transcribe audio files locally, convert speech to text, or generate subtitles without an API key.'
List specific concrete actions such as 'Transcribes audio/video files to text, generates SRT/VTT subtitles, supports multiple languages and audio formats (.mp3, .wav, .m4a).'
Include natural user keywords like 'transcribe', 'audio', 'transcription', 'voice to text', 'subtitles', and common file extensions.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (speech-to-text) and the tool (Whisper CLI), and notes 'no API key', but doesn't list specific actions like transcribing audio files, generating subtitles, converting formats, etc. | 2 / 3 |
Completeness | Describes what it does at a high level but has no 'Use when...' clause or explicit trigger guidance, which per the rubric should cap completeness at 2, and the 'what' is also quite thin, placing this at 1. | 1 / 3 |
Trigger Term Quality | Includes good terms like 'speech-to-text', 'Whisper', and 'CLI', but misses common user variations like 'transcribe', 'audio', 'transcription', '.wav', '.mp3', 'subtitles', or 'voice to text'. | 2 / 3 |
Distinctiveness Conflict Risk | The combination of 'Whisper CLI', 'local', and 'no API key' creates a very clear niche that is unlikely to conflict with other skills, even other speech-to-text or Whisper API-based 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, minimal skill that does exactly what it needs to. It provides concrete, executable commands, avoids explaining concepts Claude already knows, and is well-structured for its scope. The only minor improvement would be adding a heading marker (##) before 'Quick start' and 'Notes' for consistent markdown formatting.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely lean — no unnecessary explanations, no description of what Whisper is or how speech-to-text works. Every line adds value. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready CLI commands with realistic flags and file paths. The two examples cover the primary use cases (transcribe and translate) with different output formats. | 3 / 3 |
Workflow Clarity | This is a simple, single-purpose skill (run a CLI command). The single action is unambiguous, and the notes section covers the key operational details (model caching, defaults). 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 a quick start section and notes. No unnecessary nesting or missing structure. | 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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