How should email-guesser be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

email-guesser answer-first brief

Guess and validate business email addresses for leads/prospects. Triggers when users need to find someone's email, enrich a lead list with emails, or guess email addresses for outreach. Works standalone or as step 2 after list-building skill. Finds company domains via DDG search, generates email permutations (first.last@, first@, flast@, etc.), validates via free API (MX records, domain check, catch-all detection, disposable detection). No API keys needed. --- name: email-guesser description: Guess and validate business email addresses for leads/prospects. Triggers when users need to find someone's email, enrich a lead list with emails, or guess email addresses for outreach. Works standalone or as step 2 after list-building skill. Finds company domains via DDG search, generates email permutations (first.last@, first@, flast@, etc.), validates via free API (MX records, Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

email-guesser is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

email-guesser

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Hanseflats

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/Hanseflats/email-guesser-skill.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Hanseflats

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 25, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

bash

uv pip install ddgs --system  # For domain finding. MUST use 'ddgs', NOT 'duckduckgo_search'

python

from scripts.email_guesser import find_company_domain
domain = find_company_domain("Greenhouse Software")  # → "greenhouse.io"

python

from scripts.email_guesser import detect_catch_all
is_catch_all = detect_catch_all("unqork.com")  # → True/False

text

GET /validate?email=test@company.com

text

POST /validate/batch
{"emails": ["a@co.com", "b@co.com"]}

bash

# Single lead
python3 scripts/email_guesser.py --name "Daniel Chait" --company "Greenhouse Software"

# With known domain (skip DDG lookup)
python3 scripts/email_guesser.py --name "Daniel Chait" --domain "greenhouse.io"

# Batch from JSON file
python3 scripts/email_guesser.py --batch leads.json

# JSON output (for piping)
python3 scripts/email_guesser.py --name "Daniel Chait" --company "Greenhouse" --json

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

name: email-guesser description: Guess and validate business email addresses for leads/prospects. Triggers when users need to find someone's email, enrich a lead list with emails, or guess email addresses for outreach. Works standalone or as step 2 after list-building skill. Finds company domains via DDG search, generates email permutations (first.last@, first@, flast@, etc.), validates via free API (MX records, domain check, catch-all detection, disposable detection). No API keys needed.

Email Guesser

Guess business emails for leads using domain lookup + permutation generation + validation. No API keys required.

Requirements

uv pip install ddgs --system  # For domain finding. MUST use 'ddgs', NOT 'duckduckgo_search'

Core Workflow

1. Get Company Domain

If only company name is provided (no domain), find it:

from scripts.email_guesser import find_company_domain
domain = find_company_domain("Greenhouse Software")  # → "greenhouse.io"

Uses DDG search with intelligent filtering (skips LinkedIn, Crunchbase, social media, etc.) and strips subdomains (app.company.com → company.com).

2. Detect Catch-All

Before generating permutations, check if domain is catch-all (accepts all email):

from scripts.email_guesser import detect_catch_all
is_catch_all = detect_catch_all("unqork.com")  # → True/False

Tests a guaranteed-fake email against the validation API. If it passes, domain is catch-all — means all permutations will "validate" but we can't confirm which is real. Rank by pattern likelihood instead.

3. Generate Permutations

Ordered by most common B2B email patterns:

| Rank | Pattern | Example | |------|---------|---------| | 1 | first.last | daniel.chait@company.com | | 2 | first | daniel@company.com | | 3 | flast | dchait@company.com | | 4 | firstlast | danielchait@company.com | | 5 | f.last | d.chait@company.com | | 6 | last.first | chait.daniel@company.com | | 7 | last | chait@company.com | | 8 | first_last | daniel_chait@company.com |

4. Validate via API

API: https://rapid-email-verifier.fly.dev/api

Single:

GET /validate?email=test@company.com

Batch (up to 100):

POST /validate/batch
{"emails": ["a@co.com", "b@co.com"]}

Response fields:

validations.domain_exists — domain resolves
validations.mx_records — has mail server
validations.mailbox_exists — mailbox accepts mail (unreliable for catch-all)
validations.is_disposable — temporary email service
validations.is_role_based — role address (info@, sales@, etc.)
score — 0-100 confidence
status — VALID, INVALID_DOMAIN, NO_MX_RECORDS, DISPOSABLE

5. Confidence Scoring

Combine validation results + catch-all detection + pattern rank:

verified — non-catch-all domain, mailbox confirmed (rare, most B2B domains are catch-all)
likely — catch-all domain, top 3 patterns (first.last, first, flast)
possible — catch-all domain, lower-ranked patterns
invalid — no MX records or domain doesn't exist
role_based — role address detected (info@, support@, etc.)

Script Usage

# Single lead
python3 scripts/email_guesser.py --name "Daniel Chait" --company "Greenhouse Software"

# With known domain (skip DDG lookup)
python3 scripts/email_guesser.py --name "Daniel Chait" --domain "greenhouse.io"

# Batch from JSON file
python3 scripts/email_guesser.py --batch leads.json

# JSON output (for piping)
python3 scripts/email_guesser.py --name "Daniel Chait" --company "Greenhouse" --json

Batch JSON format:

[
  {"name": "Daniel Chait", "company": "Greenhouse Software"},
  {"name": "Gary Hoberman", "domain": "unqork.com"}
]

Integration with List-Building

After list-building produces a prospect list, pipe it into email guessing:

List-building outputs leads with name + company
For each lead, run email guesser
Present combined table: Name | Company | Best Email Guess | Confidence

When presenting results to users, always show the top 3 guesses with confidence levels. Recommend first.last@domain as default for outreach tools that accept a single email.

Limitations

Most B2B domains are catch-all → can't verify exact mailbox, only rank by pattern
Domain finding via DDG may pick wrong domain for companies with generic names
Validation API checks SMTP-level acceptance, not inbox existence
For higher accuracy, pair with a paid verification service (Hunter, NeverBounce, etc.)

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/snapshot"

curl -s "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/contract"

curl -s "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T03:29:45.465Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Hanseflats",
    "href": "https://github.com/Hanseflats/email-guesser-skill",
    "sourceUrl": "https://github.com/Hanseflats/email-guesser-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:47:36.181Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:47:36.181Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/hanseflats-email-guesser-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]