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openai-whisper

Local speech-to-text with the Whisper CLI (no API key).

Install with Tessl CLI

npx tessl i github:qsimeon/openclaw-engaging --skill openai-whisper
What are skills?

76

0.91x

Does it follow best practices?

Evaluation91%

0.91x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

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 specific tool and approach (local Whisper CLI without API key) which provides good distinctiveness, but lacks concrete action verbs and completely omits trigger guidance. It would benefit significantly from listing specific capabilities and adding explicit 'Use when...' conditions.

Suggestions

Add a 'Use when...' clause with trigger terms like 'transcribe audio', 'convert speech to text', 'audio file', or 'voice recording'

List specific actions such as 'Transcribes audio files, converts speech recordings to text, supports multiple audio formats'

Include common file extensions and natural user terms: '.mp3', '.wav', 'audio', 'recording', 'transcription'

DimensionReasoningScore

Specificity

Names the domain (speech-to-text) and tool (Whisper CLI), and clarifies 'no API key', but doesn't list specific actions like transcribing audio files, converting formats, or handling different languages.

2 / 3

Completeness

Describes what it does (speech-to-text with Whisper) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill.

1 / 3

Trigger Term Quality

Includes 'speech-to-text' and 'Whisper CLI' which are relevant, but misses common user terms like 'transcribe', 'audio', 'voice', 'recording', '.mp3', '.wav', or 'convert speech'.

2 / 3

Distinctiveness Conflict Risk

The combination of 'Whisper CLI', 'local', and 'no API key' creates a clear niche that distinguishes it from cloud-based transcription services or other audio processing 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 respects Claude's intelligence and token budget. It provides exactly what's needed: executable commands with practical flags, and brief notes about environment-specific details (cache location, default model). The skill exemplifies good design for simple CLI tools.

DimensionReasoningScore

Conciseness

Extremely lean and efficient. No unnecessary explanations about what Whisper is or how speech-to-text works. Every line provides actionable information Claude wouldn't inherently know (CLI flags, cache location, default model).

3 / 3

Actionability

Provides copy-paste ready commands with real file paths and flags. Two concrete examples cover common use cases (transcription and translation with different output formats).

3 / 3

Workflow Clarity

This is a simple, single-task skill (run a CLI command). The commands are unambiguous and self-contained. No multi-step process requiring validation checkpoints exists here.

3 / 3

Progressive Disclosure

For a skill under 50 lines with no need for external references, the content is well-organized with clear sections (quick start, notes). No unnecessary splitting or monolithic walls of text.

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.

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

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

Reviewed

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