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AC senseaudio-pronunciation-coach

Foreign language pronunciation coach — listen to standard TTS pronunciation, record yourself, get word-by-word feedback on what was wrong, then practice targeted drills. Use when users want to improve pronunciation, practice speaking a foreign language, or ask for "发音练习", "跟读", "纠音", "外语口语练习", "pronunciation practice", "how to pronounce", or any request to check or improve spoken language accuracy.

ClawHub Agent Skills author: scikkk v1.0.0 MIT-0 2 files body ≈ 1 254 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Foreign language pronunciation coach — listen to standard TTS pronunciation, record yourself, get word-by-word feedback on what was wrong, then practice…

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

ReferenceAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 62/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (senseaudio-pronunciation-coach) differs from the folder (pronunciation)
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 6 steps
    • 100Execution cost. Instruction body is 1254 tokens
    • 100Progress reporting. Reports progress

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 401: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 6 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    The skill matches its pronunciation-coaching purpose, but it sends voice recordings to an external API and documents unsafe shell commands that could run unintended commands or upload the wrong local file if inputs are not carefully constrained.
    LLM: suspicious (high) · VirusTotal: · 12 Sept 2026