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AB google-maps-email-extractor-apify

Use this skill when the user needs public business email leads from Google Maps through an Apify actor, including emails, email details, websites, phones, social profiles, ratings, addresses, coordinates, Google Place IDs, CIDs, and Google Maps URLs from keywords, locations, Google Maps URLs, Place IDs, categories, or map areas.

ClawHub Agent Skills author: hundevmode v1.0.0 MIT-0 11 files body ≈ 1 744 tokens Open the sourceclawhub.ai↗ analyzed 12 h ago

Use this skill when the user needs public business email leads from Google Maps through an Apify actor, including emails, email details, websites, phones…

As a process B 67/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureAI 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
67/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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 67/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 53 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1744 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 330: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 53 items
    • +3Output format is stated explicitly
    • +4Has examples (8 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: suspicious
    The skill does what it claims, but it can run a paid third-party scraping actor that collects business and person-like contact data without a strong confirmation or privacy gate.
    LLM: suspicious (medium) · VirusTotal: · 2 Jun 2026