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AC openai-tts

Generate MP3 speech with OpenAI TTS through RunAPI. Use for one-off speech generation or application integration. Prefer the RunAPI CLI for one-off requests and the target-language SDK for production integration.

ClawHub Agent Skills author: RunAPI v0.1.3 MIT-0 2 files body ≈ 1 419 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Generate MP3 speech with OpenAI TTS through RunAPI.

As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

GeneratorAI 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
61/100
Has gaps
Progress reporting w 2
0
Inputs and preconditions w 11
30
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

    • note frontmatter-key unknown frontmatter key "documentation"
    • note frontmatter-key unknown frontmatter key "provider_page"
    • note frontmatter-key unknown frontmatter key "catalog"

    Process rating: all ten parameters 61/100

    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (openai-tts) differs from the folder (runapi-openai-tts)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 12 steps
    • 100Execution cost. Instruction body is 1419 tokens

    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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 212: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 12 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill provides a scoped recipe for generating text-to-speech through RunAPI and does not include hidden code, persistence, or unrelated access.
    LLM: benign (high) · VirusTotal: · 4 Sept 2026