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DB yt2bb

Use when the user wants to repurpose a YouTube video for Bilibili, add bilingual (English-Chinese) subtitles to a video, or create hardcoded subtitle versions for Chinese platforms.

Not recommendedcritical or high security findings · low grade D
ClawHub Hermes author: Agents365.ai v2.5.0 MIT-0 8 files · 1 script body ≈ 4 773 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorYouTubeMedia and videotype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
D
54/100
safety, quality, tests
Safety 60%
36
Quality 40%
81
Run on models
none yet
Process rating
B
73/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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.
  2. 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 · 5

  • high Exfiltration intent-browser-credential-store SKILL.md:69
    Accesses a browser credential / cookie store
    yt-dlp --cookies-from-browser chrome \
  • high Exfiltration intent-browser-credential-store SKILL.md:77
    Accesses a browser credential / cookie store
    yt-dlp --cookies-from-browser chrome \
  • high Exfiltration intent-browser-credential-store SKILL.md:364
    Accesses a browser credential / cookie store
    yt-dlp --cookies-from-browser chrome --cookies cookies.txt --skip-download "URL"
Medium and low: 2
  • medium Exfiltration intent-browser-credential-store SKILL.md:29
    Accesses a browser credential / cookie store (documentation table row)
    | 1. Download | `yt-dlp` | `yt-dlp --cookies-from-browser chrome -f ... -o ...` | `{slug}.mp4` |
    table
  • medium Exfiltration intent-browser-credential-store SKILL.md:360
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    `--cookies-from-browser chrome` requires Chrome to be closed (or uses a snapshot of the profile). If it fails:
    quoted

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 181 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 73/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 11 mutating operations with no state check
  • 60Consistency. The Hermes dialect needs category and tags
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4773 tokens
  • 85Steps. 48 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 9 branches, has a failure section
  • 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +2Single-language instructions
  • +3Description length 181: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 48 items
  • +3Output format is stated explicitly
  • +4Has examples (17 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This media skill is coherent, but it needs Review because its default workflow can use logged-in Chrome YouTube cookies without clear opt-in controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026