Lead Researcher

Enrich company data from a name, LinkedIn URL, or domain with size, industry, tech stack, news, social links, and contact info via passive HTTP analysis.

Security Scan

The skill's code and instructions are consistent with its stated purpose (passive HTTP-based company enrichment) and it does not request unrelated credentials or installation steps.

Purpose & Capability

Name/description (lead enrichment, tech fingerprinting, news, contacts) align with the included code and README. The module only uses standard libraries and makes HTTP requests to target domains and optional third-party APIs (Tavily) which are appropriate for this functionality.

Instruction Scope

SKILL.md instructs running the Python script and optionally providing a TAVILY_API_KEY; it explicitly recommends respecting robots.txt and scraping ToS. The code performs passive HTTP requests to target domains and looks up common paths/headers. I did not find any instructions or code that read unrelated local files, secrets, or system configuration. Note: the documentation recommends respecting robots.txt, but I did not see explicit enforcement of robots.txt checks in the visible code — the script will perform HTTP GETs to pages/paths unless additional checks are present in truncated sections.

Install Mechanism

This is an instruction-only skill with no install spec and a single Python script relying only on the standard library. No external downloads, package installs, or unusual install locations are present.

Credentials

No required environment variables or credentials are declared. An optional TAVILY_API_KEY may be provided for improved news results; that is reasonable and documented. There are no other secret-like env vars or config paths requested.

Persistence & Privilege

The skill is not marked always:true and does not request persistent system-wide privileges. It runs as a normal user-mode script and writes outputs only when asked (e.g., CSV export).

Assessment

This skill appears to do what it says: passive HTTP-based enrichment of company domains and optional querying of a third-party news API (Tavily). Before installing or running it: 1) Be aware it will make outbound HTTP(S) requests to whatever domains you provide (including optional third-party API calls if you set TAVILY_API_KEY). 2) Review and confirm the code sections not shown here to ensure there are no hidden telemetry endpoints or unintended network calls; the UA string references edgeiq.dev which will appear in target server logs. 3) The README/SKILL.md asks you to respect robots.txt/terms of service, but the script does not appear to enforce robots.txt automatically — only run lookups you are authorized to perform. 4) If you plan to provide real contact lists or run bulk lookups, run the script in an isolated environment or with rate-limiting to avoid accidental abuse. 5) The package owner is unknown; if you require trust guarantees, obtain the code from a verified source or run a security review before use.

SKILL.md — Lead Researcher by EdgeIQ Labs

Version: 1.0.0
Category: Business Intelligence / Lead Generation
Author: EdgeIQ Labs
Python: 3.12+

---

What It Does

Lead Researcher takes a company name, LinkedIn URL, or domain as input and returns enriched lead data including company size, industry, tech stack (Wappalyzer-style HTTP header/fingerprint detection), recent news, social links, and contact enrichment.

Output is structured JSON or human-readable formatted text. Pro tier adds CSV export.

---

Pricing Tiers

Feature	Free	Lifetime ($39)	Optional Monthly ($7/mo)
Lookups/month	3	Unlimited	Unlimited
Basic enrichment	✅	✅	✅
Tech stack detection	✅	✅	✅
News/press articles	—	✅	✅
Social links	—	✅	✅
Contact enrichment	—	Basic	Full
CSV export	✅	✅	✅
Priority support	✅	✅	✅

---

👉 Buy Lifetime — $39 👉 Subscribe Monthly — $7/mo 👉 Subscribe Monthly — $7/mo

Usage

python3 /path/to/lead_researcher.py "Acme Corp"
python3 /path/to/lead_researcher.py "https://www.linkedin.com/company/acme-corp"
python3 /path/to/lead_researcher.py "acme.com"
python3 /path/to/lead_researcher.py "acme.com" --format json
python3 /path/to/lead_researcher.py "acme.com" --format csv --output acme_leads.csv
python3 /path/to/lead_researcher.py "acme.com" --tier pro

Arguments

• input — Company name, LinkedIn URL, or domain
• --format — Output format: text (default) or json
• --output — File path for CSV export (Pro tier)
• --tier — Tier override: free, pro, or bundle (default: free behavior)
• --tavily-key — Override Tavily API key (defaults to env TAVILY_API_KEY)

---

Legal Notice

⚠️ Only research companies you have legitimate business interest in. Do not use for spam or unsolicited contact. This tool aggregates publicly available information. Respect robots.txt and terms of service of scraped sources.

---

Tech Stack Detection

The skill performs passive HTTP-based tech fingerprinting:

1. Makes HTTP/HTTPS requests to the target domain
2. Inspects HTTP headers (Server, X-Powered-By, CF-* headers, etc.)
3. Checks for common JavaScript framework meta tags in HTML
4. Looks at default paths (favicon, /wp-login.php, /.well-known/, etc.)
5. Compares headers and patterns against a built-in signature database

No active scanning. No port probes. Passive reconnaissance only.

---

Output Schema

{
  "company": "Acme Corp",
  "domain": "acme.com",
  "size": "50-200",
  "industry": "Software",
  "description": "...",
  "tech_stack": ["WordPress", "Cloudflare", "Google Analytics", "Stripe"],
  "news": [{"title": "...", "url": "...", "date": "..."}],
  "social": {"linkedin": "...", "twitter": "...", "facebook": "..."},
  "contacts": [{"name": "...", "title": "...", "linkedin": "..."}],
  "lookup_date": "2026-04-23"
}

---

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