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BB TikTok Comment Scraper

This skill should be used when the user asks to "scrape TikTok comments", "get TikTok post comments", "extract comments from a TikTok video", "get TikTok replies", "analyze TikTok engagement", or needs to collect comments and replies from TikTok posts.

ClawHub Agent Skills author: Futurize Rush v0.1.0 MIT-0 2 files body ≈ 1 483 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: consistency, running it twice, progress reporting

AnalyzerMarketingtype 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
B
87/100
safety, quality, tests
Safety 60%
87
Quality 40%
87
Run on models
none yet
Process rating
B
66/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

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

    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

    ✓ No critical or high findings

    Medium and low: 5
    • medium Exfiltration net-credential-use SKILL.md:118
      Credential used in a network call (verify the destination is the intended service)
      STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" \
    • medium Exfiltration net-credential-use SKILL.md:126
      Credential used in a network call (verify the destination is the intended service)
      curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=…" | jq '.'
    • low Exfiltration exfil-secret-in-url SKILL.md:109
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      "https://api.apify.com/v2/acts/futurizerush~tiktok-comment-scraper/runs?token=…" \
      placeholder
    • low Exfiltration exfil-secret-in-url SKILL.md:118
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" \
      placeholder
    • low Exfiltration exfil-secret-in-url SKILL.md:126
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=…" | jq '.'
      placeholder

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

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 66/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (TikTok Comment Scraper) differs from the folder (apify-tiktok-comments)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 12 steps
    • 100Execution cost. Instruction body is 1483 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 252: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 12 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

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

    External checks

    ClawHub: clean
    This is a straightforward Apify-based TikTok comment scraper, with expected third-party API use and no local executable code.
    LLM: benign (high) · VirusTotal: · 29 May 2026