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CF tiktok-scraping-yt-dlp

Use for TikTok crawling, content retrieval, and analysis

Not recommendedcritical or high security findings
ClawHub Agent Skills author: KirkRaman v1.0.2 MIT-0 2 files body ≈ 2 049 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 26/100 · Will not run — References files that are not bundled: scripts/scrape-tiktok.sh

AnalyzerMarketingInfrastructuretype 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
73/100
safety, quality, tests
Safety 60%
71
Quality 40%
75
Run on models
none yet
Process rating
F
26/100
Will not run
References files that are not bundled: scripts/scrape-tiktok.sh
Tools and files w 18
0
Steps w 15
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: tiktok-scraping-yt-dlp (ClawHub)

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. The text references files that are not there: add them or drop the references.
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:228
    Accesses a browser credential / cookie store
    --cookies-from-browser chrome \
Medium and low: 3
  • medium Exfiltration intent-browser-credential-store SKILL.md:197
    Accesses a browser credential / cookie store (the skill's own vendor host)
    yt-dlp --cookies-from-browser chrome "https://www.tiktok.com/@handle"
    vendor-host
  • medium Exfiltration intent-browser-credential-store SKILL.md:242
    Accesses a browser credential / cookie store (documentation table row)
    | Empty results / no videos found          | Add `--cookies-from-browser chrome` — TikTok rate-limits anonymous requests |
    table
  • low Dangerous commands cmd-cron-mention SKILL.md:206
    Mentions editing / listing crontab
    # crontab -e

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/scrape-tiktok.sh

Process rating: all ten parameters 26/100

Will not run. References files that are not bundled: scripts/scrape-tiktok.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/scrape-tiktok.sh
  • 0Steps. Prose only: no discrete steps
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (tiktok-scraping-yt-dlp) differs from the folder (jx-crawling)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Execution cost. Instruction body is 2049 tokens

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)
  • +3Description length 56: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +1No license
  • +2Single-language instructions
  • +4Structure: 25 headings
  • +3Output format is stated explicitly
  • +4Has examples (18 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This is a coherent TikTok scraping guide, but it encourages browser-session cookie use and unattended scraping without enough safety boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026