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sag

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

64

3.50x
Quality

51%

Does it follow best practices?

Impact

91%

3.50x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/sag/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

22%

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 extremely terse and reads more like a label than a functional skill description. It lacks concrete actions, explicit trigger guidance ('Use when...'), and sufficient natural keywords. While 'ElevenLabs' provides some distinctiveness, the description fails to communicate what the skill actually does or when it should be selected.

Suggestions

Add a 'Use when...' clause with trigger terms like 'text-to-speech', 'TTS', 'voice generation', 'read aloud', 'audio from text', 'ElevenLabs'.

List specific concrete actions such as 'Converts text to speech audio using ElevenLabs API, plays audio with macOS say-style UX, supports voice selection and audio file export'.

Include common user-facing keywords and file types like 'TTS', 'voice', 'audio', '.mp3', 'speak' to improve trigger term coverage.

DimensionReasoningScore

Specificity

The description mentions 'text-to-speech' and 'mac-style say UX' but does not list concrete actions like generating audio files, converting text to speech, or specifying supported formats. It's more of a label than a capability description.

1 / 3

Completeness

The description weakly addresses 'what' (text-to-speech) but completely lacks a 'when' clause or any explicit trigger guidance. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and the 'what' is also too vague to merit a 2.

1 / 3

Trigger Term Quality

Includes 'text-to-speech', 'ElevenLabs', and 'say' which are relevant keywords a user might use, but misses common variations like 'TTS', 'voice generation', 'audio', 'speak', or 'read aloud'.

2 / 3

Distinctiveness Conflict Risk

Mentioning 'ElevenLabs' and 'mac-style say UX' provides some distinctiveness from generic audio or speech skills, but the description is too terse to clearly carve out a unique niche and could overlap with other TTS or audio generation skills.

2 / 3

Total

6

/

12

Passed

Implementation

79%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-crafted, concise skill that provides highly actionable CLI commands and configuration details for ElevenLabs TTS. Its main strengths are token efficiency and concrete examples. Minor weaknesses include the lack of explicit error-handling/validation steps and the flat structure that could benefit from slightly better progressive disclosure for the reference-heavy sections.

Suggestions

Add a brief validation/troubleshooting step for common failures (e.g., invalid API key, voice not found) to improve workflow clarity.

Consider splitting the pronunciation/delivery rules and v3 audio tags into a referenced file if the skill grows, to maintain progressive disclosure.

DimensionReasoningScore

Conciseness

The content is lean and efficient. It assumes Claude knows how to use CLI tools and doesn't waste tokens explaining what TTS is or how APIs work. Every section delivers actionable information concisely.

3 / 3

Actionability

Provides concrete, copy-paste-ready commands throughout (e.g., `sag "Hello there"`, `sag -v Clawd -o /tmp/voice-reply.mp3 "Your message here"`). Specific flags, model names, voice IDs, and audio tags are all directly usable.

3 / 3

Workflow Clarity

The 'Chat voice responses' section has a clear two-step workflow (generate then include), but the pronunciation/delivery rules section reads more like a reference list than a sequenced workflow. The instruction to 'Confirm voice + speaker before long output' is a good checkpoint but could be more explicitly integrated into a workflow.

2 / 3

Progressive Disclosure

The content is well-organized with clear sections and headers, but everything is inline in a single file. The `sag prompting` command reference is a nice touch for offloading detail, but some sections (v3 audio tags, pronunciation rules) could benefit from being split out or more clearly delineated for a skill of this length.

2 / 3

Total

10

/

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

Repository
Hung-Reo/hungreo-openclaw
Reviewed

Table of Contents

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