Lead email deliverability check
Reviews lead email addresses for structural validity, domain consistency, duplicate risk, and available verification evidence. Use before a prospect list is used for sales outreach or CRM hygiene, including email validation, bounce-risk review, and contact data quality checks.
Veröffentlicht 21. Aug. 2026 · Aktualisiert 26. Aug. 2026
Voraussetzungen
Map lead and verification columns. Define evidence age, role-address and suppression rules.
Skill-Dokument
Das vollständige SKILL.md, das dein Agent liest und befolgt.
Lead email deliverability check
Purpose
Assess whether the email addresses in a lead list are usable and whether their identity and company association are coherent. Produce a reviewable status, never a false guarantee of delivery.
Scope
Syntax, duplicates, domain format, role-to-domain consistency, verification results already present in the corpus, and evidence age.
Excluded: sending test messages, contacting the domain, suppressing records in an external system, and guaranteeing inbox placement.
Data basis
- Lead table with email, person, company and source columns.
- Existing verification results and timestamps.
- Company and domain reference data in scope.
Result
A row-level deliverability assessment with reasons and a list of records requiring verification or correction.
Quality criteria
- Every row receives exactly one status.
- Invalid syntax is separated from unknown verification state.
- Statuses are based only on available evidence and defined rules.
- Duplicate addresses and domain mismatches are cited by row.
- No address is changed without retaining its original value.
Instructions
Use the company's status vocabulary and evidence-age rule. Treat a valid-looking address as syntactically valid only; do not call it deliverable without a verification result. Handle role addresses and free-mail domains according to the adaptation rules. Preserve privacy by displaying only the minimum address detail needed for review.
Adapt before use
Keep a clear audit trail throughout the run. Use the source wording and field values that support each material conclusion, and retain uncertainty when the evidence does not decide the issue. Separate a missing record from a negative result and a contradictory record from an exception. Prefer a short, prioritised result over unsupported completeness. Check that counts, identifiers, dates, and labels agree across the written result and the structured output. When a rule, source, or mapping is unavailable, name the limitation and explain how it affects interpretation. Do not silently infer ownership, approval, timing, or business intent.
- Map the lead columns and define the output status vocabulary.
- Set the acceptable age of a verification result.
- Define treatment of role addresses, free-mail domains, and suppression states.
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