SKILLEMALL.ai

DC youtube-summary

Extract subtitles from YouTube or Bilibili, save raw transcript, and generate a structured summary. Triggers: ANY URL containing youtube.com, youtu.be, bilibili.com, or b23.tv — use this skill immediately, do NOT use fetch-content. Also triggers on: "summarize this video / get subtitles" / "总结这个视频" / "帮我看看这个视频" / "获取字幕" / "视频总结" / "提取字幕".

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: Xiapu Yang v1.0.0 MIT-0 2 files body ≈ 3 248 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Extract subtitles from YouTube or Bilibili, save raw transcript, and generate a structured summary.

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorYouTubeMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
D
70/100
safety, quality, tests
Safety 60%
54
Quality 40%
93
Run on models
none yet
Process rating
C
53/100
Has gaps
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

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Exfiltration
If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 4

  • high Exfiltration intent-browser-credential-store SKILL.md:54
    Accesses a browser credential / cookie store
    Bilibili subtitles require login cookies. Always use a cookies file — refresh from Chrome if missing or stale (>30 days):
  • high Exfiltration intent-browser-credential-store SKILL.md:70
    Accesses a browser credential / cookie store
    yt-dlp --cookies-from-browser chrome --cookies "$BILI_COOKIES" \
Medium and low: 2
  • medium Exfiltration intent-browser-credential-store SKILL.md:69
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    echo "Reading cookies from Chrome (one-time keychain prompt)..."
    quoted
  • medium Exfiltration intent-browser-credential-store SKILL.md:81
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    echo "   Fix: delete the cookies file and retry — it will re-read from Chrome."
    quoted

Files scanned: 2. 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 53/100

  • 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
  • 40Consistency. Frontmatter name (youtube-summary) differs from the folder (youtube-subtitle-summary)
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 13 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 3248 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • 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

  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 340: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (20 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

External checks

ClawHub: suspicious
This video-summary skill does what it claims, but it can automatically install or update software and extract persistent browser cookies for Bilibili without clear upfront user control.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026