Skills lead-scraper
๐Ÿ“ฆ

lead-scraper

v1.0.0 Content revision r1 Medium Risk

Build B2B Lead Lists

Sales teams often need structured prospect lists by industry and location. This skill guides AI-assisted collection and CSV organization of company names, contacts, phones, and addresses.

Supports: Claude Codex Code(CC)
๐Ÿ“Š 72 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "lead-scraper" from https://skillstore.io/skills/zhangchenlai-dev-lead-scraper.md and its manifest at https://skillstore.io/api/skills/zhangchenlai-dev-lead-scraper/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Test it

Using "lead-scraper". Find public accounting firms in Austin for a sales prospect list.

Expected outcome:

A CSV-ready table outline with company name, public phone, business address, source URL, verification status, and notes for manual review.

Using "lead-scraper". Check this draft lead list before outreach.

Expected outcome:

A review summary that identifies duplicates, missing source links, unverified phone numbers, and entries that need privacy or consent checks.

Using "lead-scraper". Plan a lead search for solar installers in three counties.

Expected outcome:

A segmented research plan with source types, search order, data fields, exclusion rules, and final CSV preparation steps.

Security Audit

Medium Risk
v4 โ€ข 7/8/2026 Open versioned report

The entropy finding is a false positive because SKILL.md is readable Markdown with Chinese text and front matter, not obfuscated content. I found one semantic risk: the skill targets scraping contacts, phone numbers, and addresses into lead CSV files without compliance guardrails.

1
Files scanned
34
Lines analyzed
0
Review items
0
False positives ignored

Confirmed security concerns (1)

Medium
Unrestricted Contact Data Scraping
The skill states it scrapes lead lists by region and industry into CSV fields for contact person, phone, and address. This can enable privacy-invasive collection or terms-of-service violations unless limited to lawful public business data.
The stated output fields include contact names, phone numbers, and addresses for scraped leads. No visible guardrails limit collection to compliant public business data.
Audited by: codex View Audit History โ†’
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

Copy report link

https://skillstore.io/skills/zhangchenlai-dev-lead-scraper/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/zhangchenlai-dev-lead-scraper/security.svg)](https://skillstore.io/skills/zhangchenlai-dev-lead-scraper?utm_source=security_passport_badge)

HTML badge

<a href="https://skillstore.io/skills/zhangchenlai-dev-lead-scraper?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zhangchenlai-dev-lead-scraper/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Embed card

<iframe src="https://skillstore.io/embed/skills/zhangchenlai-dev-lead-scraper.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
Academic citations (APA ยท BibTeX ยท CFF)

APA citation

Hermes-Sedimentary. (2026). lead-scraper security audit report (audit version 4) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/zhangchenlai-dev-lead-scraper/audits/4

BibTeX citation

@techreport{hermes-sedimentary-zhangchenlai-dev-lead-scraper-2026, author = {Hermes-Sedimentary}, title = {lead-scraper security audit report (audit version 4)}, institution = {Skillstore}, year = {2026}, number = {4}, url = {https://skillstore.io/skills/zhangchenlai-dev-lead-scraper/audits/4}, note = {Author version 1.0.0} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "lead-scraper security audit report (audit version 4)" version: "1.0.0" type: report authors: - name: "Hermes-Sedimentary" date-released: "2026-07-08" url: "https://skillstore.io/skills/zhangchenlai-dev-lead-scraper/audits/4" identifiers: - type: other value: "skillstore:zhangchenlai-dev-lead-scraper:audit:4" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
100
Maintainability
87
Content
67
Community
83
Spec Compliance

What You Can Build

Build Local Prospect Lists

Create a CSV-ready list of companies in one city and industry for compliant sales research.

Research Niche Markets

Collect public company details for a narrow industry segment before validating each source manually.

Prepare Outreach Data

Organize verified business contact fields into a consistent spreadsheet format for team review.

Try These Prompts

Start a Lead Search
Find public business leads for [industry] in [region]. Include company name, public contact role, phone, address, source URL, and a verification note. Follow website terms and do not include private personal data.
Create a CSV Plan
Plan a compliant CSV lead list for [industry] in [region]. Specify the columns, acceptable public sources, exclusion rules, and manual checks needed before export.
Validate Existing Leads
Review this lead list for [industry] in [region]. Flag missing sources, stale phone numbers, duplicate companies, and entries that may include restricted personal data.
Segment a Market
Build a staged research workflow for [industry] across [regions]. Segment leads by company type, source confidence, outreach readiness, and compliance risk before producing a final CSV-ready table.

Best Practices

  • Use only lawful public business sources and record the source URL for each lead.
  • Verify phone numbers, addresses, and contact roles before exporting or outreach.
  • Keep collection narrow by region, industry, and legitimate business purpose.

Avoid

  • Do not scrape private personal data, gated content, or sources that prohibit automated collection.
  • Do not treat unverified AI output as a ready outreach list.
  • Do not collect broad contact lists without a clear compliance review.

Frequently Asked Questions

Does this skill include scraper code?
No. The skill provides instructions for AI-assisted lead research and CSV organization.
What inputs does it need?
It is designed around a target region and industry.
What fields can it organize?
It targets company name, contact person, phone, address, and CSV-ready output.
Can it verify every lead automatically?
No. Users should manually verify key fields and source links.
Is contact scraping always allowed?
No. Users must follow privacy laws, website terms, and consent requirements.
Which AI tools are listed as supported?
The skill lists Claude Code, Cursor, and Codex as supported platforms.

Developer Details

License

MIT

Author version

v1.0.0

Skillstore revision

r1

Ref

64ca8af0f54a325752f08bd54e52151061ea659a

Maintenance freshness

7/20/2026

Usage

5 downloads ยท 28 views

File structure

๐Ÿ“„ SKILL.md

More from Hermes-Sedimentary

View all