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AB scraping-twitter-profiles

Scrapes Twitter/X profile data for any list of usernames using apidojo's Twitter User scraper on Apify. Triggers when the user asks to: get profile data for Twitter accounts, fetch follower counts for a list of usernames, scrape Twitter bio and stats for multiple users, export Twitter profile metadata, check account details for a set of handles, or bulk-fetch Twitter user information. Returns username, display name, bio, follower count, following count, tweet count, verified status, and profile URL. Ideal for data analysts, list enrichment pipelines, and market researchers.

ClawHub Agent Skills author: API Dojo v1.0.0 MIT-0 2 files body ≈ 959 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Scrapes Twitter/X profile data for any list of usernames using apidojo's Twitter User scraper on Apify.

As a process B 71/100 · Nearly there — weak spots: running it twice, progress reporting

AnalyzerInfrastructuretype 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:92
      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~twitter-user-scraper/runs?token=…" \
      placeholder
    • low Exfiltration exfil-secret-in-url SKILL.md:99
      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/$RUN_ID?token=…" | grep '"status"'
      placeholder
    • low Exfiltration net-credential-use SKILL.md:99
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" | grep '"status"'
      vendor-host
    • low Exfiltration exfil-secret-in-url SKILL.md:104
      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/$RUN_ID/dataset/items?token=…&format=json"
      placeholder
    • low Exfiltration net-credential-use SKILL.md:104
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl "https://api.apify.com/v2/actor-runs/$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 959 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 580: enough signal without eating the budget
    • +4Structure: 9 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
    The skill is a coherent Apify-based Twitter/X scraping guide, with clear third-party processing but weak credential-handling guidance.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026