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AB scraping-tiktok-comments

Scrapes comments from any TikTok video using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: get all comments on a TikTok video, export TikTok comment data, scrape what viewers are saying on a TikTok post, fetch comment text and likes from a TikTok URL, collect TikTok comment threads for analysis, or download comments from a viral TikTok video. Returns commenter username, comment text, like count, reply count, and timestamp per comment. Ideal for sentiment analysts, brand monitors, and content researchers.

ClawHub Agent Skills author: API Dojo v1.0.0 MIT-0 2 files body ≈ 808 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Scrapes comments from any TikTok video using apidojo's TikTok Comments scraper on Apify.

As a process B 71/100 · Nearly there — weak spots: 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
A
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
88
Run on models
none yet
Process rating
B
71/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

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
    • low Exfiltration exfil-secret-in-url SKILL.md:85
      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/apidojo~tiktok-comments-scraper/runs?token=…" \
      placeholder
    • low Exfiltration exfil-secret-in-url SKILL.md:92
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" | grep '"status"'
      placeholder
    • low Exfiltration net-credential-use SKILL.md:92
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" | grep '"status"'
      vendor-host
    • low Exfiltration exfil-secret-in-url SKILL.md:97
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=…&format=json"
      placeholder
    • low Exfiltration net-credential-use SKILL.md:97
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=…&format=json"
      vendor-host

    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 71/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (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. 5 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 808 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)
    • +2Single-language instructions
    • +3Description length 539: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 5 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a straightforward TikTok comment scraper that uses Apify as disclosed, with privacy considerations users should understand before running it.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026