sag

ElevenLabs text-to-speech with mac-style say UX.

Quality

78%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/sag/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.

The content is a tight, actionable reference for the sag CLI: executable commands, model notes, audio tags, and a concrete voice-reply workflow. It respects token budget and is well-organized with no need for external files.

Dimension	Reasoning	Score
Conciseness	The body is lean bullet-point reference with command examples and no padding; it assumes Claude's competence and never explains what TTS or ElevenLabs is.	3 / 3
Actionability	Commands are copy-paste ready (e.g. `sag -v Bitterbot -o /tmp/voice-reply.mp3 "..."`, `sag "[whispers] keep this quiet"`) with concrete audio tags, flags, and a literal voice ID.	3 / 3
Workflow Clarity	For a simple single-purpose skill the actions are unambiguous, and the chat-voice workflow is clearly sequenced (generate file, then emit MEDIA: prefix) with a 'Confirm voice + speaker before long output' checkpoint.	3 / 3
Progressive Disclosure	The skill is a single self-contained SKILL.md with no need for external references, organized into clear sections (Quick start, Model notes, Pronunciation rules, v3 audio tags, Voice defaults, Chat voice responses).	3 / 3
	Total	12 / 12 Passed

Description

57%

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 names a distinctive niche, but it omits any explicit use-trigger guidance and lists only one capability. Adding a "Use when..." clause covering natural terms (TTS, voice, speech) would lift completeness and trigger coverage.

Suggestions

Add a 'Use when...' clause, e.g. 'Use when the user wants ElevenLabs text-to-speech, a voice reply, or a say-style spoken response.'

Include common trigger variations like 'TTS', 'speech synthesis', or 'voice output' alongside 'text-to-speech'.

Optionally name a second concrete capability (e.g. voice selection or audio file output) to broaden specificity.

Dimension	Reasoning	Score
Specificity	"ElevenLabs text-to-speech with mac-style say UX" names the domain and a concrete UX approach, but states a single capability rather than listing multiple specific actions.	2 / 3
Completeness	It states what the skill does (ElevenLabs TTS) but lacks any "Use when..." trigger clause; per the guidelines a missing explicit trigger caps completeness at 2.	2 / 3
Trigger Term Quality	"ElevenLabs", "text-to-speech", and "say" are relevant natural keywords, but common variations like "TTS", "speech", or "voice" are missing.	2 / 3
Distinctiveness Conflict Risk	Naming a specific service (ElevenLabs) plus the mac-style "say" analogy gives it a clear niche unlikely to trigger for unrelated skills.	3 / 3
	Total	9 / 12 Passed

Validation

81%

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 — 13 / 16 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	13 / 16 Passed

Repository: Bitterbot-AI/bitterbot-desktop
Path: skills/sag/SKILL.md
Commit: e73c717

Reviewed: about 16 hours ago

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