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AC youtube-transcripts

Fetch YouTube video transcripts, search YouTube, list channel or playlist videos, and track new uploads via the BulkTranscripts API. Use when the user shares a YouTube link, asks to summarize/analyze/quote a video, wants transcripts for a whole channel or playlist, needs YouTube research, or asks what a channel posted recently. Works immediately with no API key (free tier); set BULKTRANSCRIPTS_API_KEY for purchased credits.

ClawHub Agent Skills author: pratie v1.0.0 MIT-0 7 files body ≈ 1 168 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Fetch YouTube video transcripts, search YouTube, list channel or playlist videos, and track new uploads via the BulkTranscripts API.

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationYouTubeMedia 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%
85
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
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: 7. 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 52/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (youtube-transcripts) differs from the folder (bulktranscripts-youtube)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 13 steps
    • 100Execution cost. Instruction body is 1168 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

    • +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 427: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (8 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    The skill is a straightforward transcript/search helper that sends YouTube-related inputs to BulkTranscripts, with visible install and privacy caveats but no hidden or destructive behavior.
    LLM: benign (high) · VirusTotal: · 4 Sept 2026