SKILLEMALL.ai

AC yt-dlp-cli

yt-dlp. Use when the user wants to download, extract audio, pull subtitles, clip, or archive a YouTube or other streaming-site URL, or when yt-dlp hits 403, bot-check, or only-360p. Not for local-file edit/transcode, watch/summarize without saving, search, or generic downloads.

ClawHub Hermes author: Trevin v0.1.2 MIT-0 4 files body ≈ 1 398 tokens Open the sourceclawhub.ai analyzed 3 d ago

yt-dlp. Use when the user wants to download, extract audio, pull subtitles, clip, or archive a YouTube or other streaming-site URL, or when yt-dlp hits 403…

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationYouTubeMedia and videoData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 278 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 55/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 10 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 1398 tokens
  • low The response is described with custom markup (10 tags): a typed call is more reliable

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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 278: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

External checks

ClawHub: clean
This skill provides a bounded yt-dlp workflow for user-requested media downloads and treats cookie/auth access as an explicit approval-only fallback.
LLM: benign (high) · VirusTotal: · 17 Aug 2026