openai-whisper-api

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

Quality

70%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Fix and improve this skill with Tessl

tessl review fix ./skills/openai-whisper-api/SKILL.md

Quality

Content

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

Description

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

Validation

72%

Warnings & errors only

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: 3 months ago

Table of Contents

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