SKILLEMALL.ai
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AC video-transcript

Extract transcripts/subtitles from video URLs and deliver as .docx files. Use this skill whenever the user provides a video link (YouTube, Bilibili, or any yt-dlp supported platform) and asks for a transcript, subtitles, lecture notes, or spoken content in text form. Also trigger when user says "帮我把这个视频转成文字", "视频讲稿", "字幕文档", "transcript", "lecture notes from video", or pastes a video URL with any request to get the text content.

ClawHub Agent Skills author: vistalyq v1.0.1 MIT-0 5 files body ≈ 1 162 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ReferenceWordYouTubeMedia and videotype 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%
86
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
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 64/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (video-transcript) differs from the folder (video2txt)
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 16 steps, 2 vague phrases
    • 100Tools and files. No external tools needed
    • 100Failures and branches. 3 branches, has a failure section
    • 100Execution cost. Instruction body is 1162 tokens
    • 100Running it twice. Mutating operations check current state
    • 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)
    • +3Output format is not stated: the model decides each time
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 432: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill appears purpose-aligned: it fetches video subtitles and creates local DOCX transcript files, with ordinary caution needed around video links and local file output.
    LLM: benign (high) · VirusTotal: · 29 May 2026