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AB google-maps-reviews-scraper-apify

Use this skill when the user needs Google Maps reviews from exact places through an Apify actor, including review text, ratings, dates, review URLs, reviewer profile data, owner replies, review context, detailed ratings, and place metadata from Google Maps place URLs, CID URLs, review URLs, or Place IDs.

ClawHub Agent Skills author: hundevmode v1.0.0 MIT-0 11 files body ≈ 1 372 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use this skill when the user needs Google Maps reviews from exact places through an Apify actor, including review text, ratings, dates, review URLs, reviewer…

As a process B 74/100 · Nearly there — weak spots: progress reporting

AnalyzerAI and agentstype 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
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
74/100
Nearly there
Progress reporting w 2
0
Tools and files w 18
60
Result and completion w 14
60
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 · 0

    ✓ No critical or high findings

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "required_env_vars"
    • note frontmatter-key unknown frontmatter key "required-env-vars"
    • note frontmatter-key unknown frontmatter key "primary_credential"
    • note frontmatter-key unknown frontmatter key "primary-credential"

    Process rating: all ten parameters 74/100

    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 45 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1372 tokens
    • 100Running it twice. Mutating operations check current state

    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 305: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 45 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This is a coherent Apify-based Google Maps reviews scraping skill, with privacy-sensitive reviewer profile collection that users should intentionally control.
    LLM: benign (high) · VirusTotal: · 1 Jun 2026