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火山引擎豆包语音识别 API（录音文件极速版）。把本地音频/视频文件或公网音频 URL 转成文字：录音转写、会议纪要、播客字幕、语音输入、视频伴音提取文字。 一次 HTTP POST 返回结果，无需轮询。支持 WAV/MP3/OGG 直传，其他格式 （m4a/flac/aac/视频等）自动用 ffmpeg 转码。Use whenever the user wants to 转写/识别/听写 音频或视频中的语音，生成文字稿、字幕(SRT)、会议纪要等。

ClawHub Agent Skills author: Corvu_ v1.0.0 MIT-0 5 files body ≈ 671 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

火山引擎豆包语音识别 API（录音文件极速版）。把本地音频/视频文件或公网音频 URL 转成文字：录音转写、会议纪要、播客字幕、语音输入、视频伴音提取文字。 一次 HTTP POST 返回结果，无需轮询。支持 WAV/MP3/OGG 直传，其他格式 （m4a/flac/aac/视频等）自动用 ffmpeg…

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationInfrastructuretype 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 5. 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 47/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (doubao-asr) differs from the folder (doubao-asr-flash)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 21 steps
    • 100Execution cost. Instruction body is 671 tokens
    • 100Running it twice. No mutating operations

    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)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 227: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (2 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    The skill largely matches its transcription purpose, but it unnecessarily sends the user's API key as a user identifier while uploading audio to a third-party cloud service.
    LLM: suspicious (high) · VirusTotal: · 21 Aug 2026