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- Location
SKILL.md:119- Finding
Unnecessary Third-Party Disclosure of Lead Personal Data
- Content
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dict: r = requests.post( f"{API_BASE}/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json=body, timeout=60, ) return r.json() def generate_cold_email_sequence(lead: dict, options: dict = None) -> list: """Generate a personalized cold email sequence for one lead.""" if options is None: options = {} email_count = options.get("email_count", 3) signature = options.get("email_signature", "") angle = options.get("campaign_angle", "") ctas = options.get("approved_ctas", []) user_content = ( f"Generate a cold email sequence for this lead:\n\n" f"Name: {lead.get('name', '')}\n" f"Title: {lead.get('title', '')}\n" f"Company: {lead.get('company', '')}\n" f"Email: {lead.get('email', '')}\n" f"Company Website: {lead.get('company_website', '')}\n" f"LinkedIn: {lead.get('linkedin_url', '')}\n\n" f"Options:\n" f"- Number of emails: {email_count}\n" f"- Signature: {signature}\n" f"- Campaign angle: {angle}\n" f"- CTAs to use: {ctas}\n\n" f'Return JSON: {{"sequence": [{{"step": 1, "subject": "...", "body": "..."}}, ...]}}' ) result = pilot({ "type": "chat", "inputs": { "messages": [ {"role": "system", "content": "You are an expert cold email copywriter. Generate personalized cold email sequences based on lead data. Each email should be unique, relevant, and high-converting. Return a JSON object with a 'sequence' array."}, {"role": "user", "content": user_ ...[truncated 2571 chars]- Remediation
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