SKILLEMALL.ai

AB youtube-transcript-native-node

Extract a clean plain-text transcript from existing YouTube captions - native Node.js, zero npm dependencies. Use when the user asks to summarize, quote, or extract captions/transcript text from a YouTube URL. Wraps the `yt-dlp` binary on PATH; writes subtitles to a temp dir, parses .vtt captions, strips timestamps/HTML tags, and prints clean text or JSON. No API keys required.

ClawHub Agent Skills author: Jeremy Westburg v1.1.27 MIT-0 5 files body ≈ 3 417 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 79/100 · Nearly there — weak spots: running it twice, progress reporting

IntegrationYouTubeMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
100
Quality 40%
97
Run on models
none yet
Process rating
B
79/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Tools and files w 18
60
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

    • note frontmatter-key unknown frontmatter key "risk_class"

    Process rating: all ten parameters 79/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 10 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 80 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3417 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 top-level sections: this looks like several domains in one skill

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 380: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 80 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.

    External checks

    ClawHub: clean
    This skill is a disclosed YouTube-caption extractor that uses yt-dlp in a bounded way and does not show hidden credential access, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 11 Sept 2026