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CC video-notes

把 YouTube / 哔哩哔哩视频变成一份精美的结构化笔记。自动提取字幕、识别关键时刻并截图、生成核心论点总结和 SVG 图表，输出带侧边导航和全文搜索的单文件 HTML 文档。适用于技术演讲、公开课、播客、产品发布会等场景。This skill should be used when a user provides a YouTube or Bilibili URL and asks to take notes, summarize a video, or create a study document from video content.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: KAImomo99 v1.1.0 MIT-0 8 files body ≈ 1 692 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorYouTubeMedia 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
C
63/100
safety, quality, tests
Safety 60%
48
Quality 40%
86
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 6

  • high Exfiltration intent-browser-credential-store SKILL.md:38
    Accesses a browser credential / cookie store
    --cookies-from-browser chrome
  • high Exfiltration intent-browser-credential-store SKILL.md:65
    Accesses a browser credential / cookie store
    --lang zh --cookies-from-browser chrome --output /tmp/subs.json
Medium and low: 4
  • medium Exfiltration intent-browser-credential-store scripts/extract_subtitles.py:16
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    需要传入 --cookies-from-browser chrome（或 firefox/safari），
    quoted
  • medium Exfiltration intent-browser-credential-store scripts/extract_subtitles.py:22
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    - 部分视频需要登录 cookie，用 --cookies-from-browser chrome。
    quoted
  • medium Exfiltration intent-browser-credential-store scripts/extract_subtitles.py:123
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    "retry with: --cookies-from-browser chrome", file=sys.stderr)
    quoted
  • low Exfiltration intent-browser-credential-store scripts/extract_subtitles.py:226
    Accesses a browser credential / cookie store (detector / deny-list definition; security demo / example)
    help="Export cookies from browser for auth (e.g. chrome, firefox, safari)")
    detectordemo

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

Against the Agent Skills spec

  • note frontmatter-key unknown frontmatter key "slug"

Process rating: all ten parameters 59/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1692 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 276: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (7 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: suspicious
This video-note skill largely does what it says, but it needs review because it can use browser login cookies and can modify the Python environment while running.
LLM: suspicious (high) · VirusTotal: · 28 May 2026