Crawler Summary

email-extractor answer-first brief

Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitignored) --- name: email-extractor description: Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitign Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

email-extractor is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 98/100

email-extractor

Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitignored) --- name: email-extractor description: Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitign

OpenClawself-declared

Public facts

7

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

1 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 22, 2026

Vendor

Smorand

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

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

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

Setup snapshot

git clone https://github.com/smorand/email-extractor.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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

Smorand

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

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

Self-declaredagent-index

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

~/.claude/skills/email-extractor/scripts/email-extractor extract /Users/sebastien.morand/Downloads/message.eml
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/email.eml -o ~/Documents/extracted

bash

~/.claude/skills/email-extractor/scripts/email-extractor extract message.eml
~/.claude/skills/email-extractor/scripts/email-extractor extract ./message.eml

bash

# Basic extraction (creates folder in .eml's directory)
~/.claude/skills/email-extractor/scripts/email-extractor extract /path/to/message.eml

# Extract to specific output directory
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/email.eml -o ~/Documents/extracted

# Get help on available commands
~/.claude/skills/email-extractor/scripts/email-extractor --help
~/.claude/skills/email-extractor/scripts/email-extractor extract --help

bash

# Extract ~/Downloads/original_msg.eml → Output: ~/Downloads/original_msg_email/
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/original_msg.eml

# Extract to custom location → Output: ~/Documents/extracted/
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/original_msg.eml -o ~/Documents/extracted

text

email_name/
├── email.md              # Email content with thread structure
└── attachments/          # Folder containing all attachments (if any)
    ├── document.pdf
    ├── image.png
    └── ...

bash

# Extract email
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/message.eml

# Read content
cat ~/Downloads/message_email/email.md
ls ~/Downloads/message_email/attachments/

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitignored) --- name: email-extractor description: Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitign

Full README

name: email-extractor description: Expert in email content extraction and analysis. Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files. Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitignored)

Email Extractor Skill

You are an expert in extracting and analyzing email content from .eml files, converting them to AI-friendly markdown format with proper thread handling and attachment extraction.

⚠️ CRITICAL REQUIREMENT: ALWAYS USE FULL FILE PATHS

YOU MUST ALWAYS use absolute/full paths when working with .eml files.

CORRECT:

~/.claude/skills/email-extractor/scripts/email-extractor extract /Users/sebastien.morand/Downloads/message.eml
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/email.eml -o ~/Documents/extracted

INCORRECT:

~/.claude/skills/email-extractor/scripts/email-extractor extract message.eml
~/.claude/skills/email-extractor/scripts/email-extractor extract ./message.eml

Why: Always use full absolute paths or paths starting with ~/ for the input .eml file to ensure reliable file access.

Core Capabilities

  • Email content extraction from .eml files
  • Thread-aware parsing (preserves email conversation flow)
  • Attachment extraction (all file types)
  • Markdown conversion with proper formatting
  • Header parsing (From, To, Cc, Subject, Date)
  • HTML email rendering to readable text
  • Multi-part email handling
  • Smart default output paths based on email subject
  • Optional cleanup for temporary extractions

Quick Start

Basic Usage

Binary Location: ~/.claude/skills/email-extractor/scripts/email-extractor

# Basic extraction (creates folder in .eml's directory)
~/.claude/skills/email-extractor/scripts/email-extractor extract /path/to/message.eml

# Extract to specific output directory
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/email.eml -o ~/Documents/extracted

# Get help on available commands
~/.claude/skills/email-extractor/scripts/email-extractor --help
~/.claude/skills/email-extractor/scripts/email-extractor extract --help

Default Output Paths

When no output directory specified:

  • Email: /path/to/message.eml
  • Output: /path/to/message_email/ (same directory as .eml)

When custom output directory specified:

  • Email: /path/to/message.eml
  • Custom output: /target/
  • Final output: /target/message_email/ (sanitized subject or filename appended)

Examples:

# Extract ~/Downloads/original_msg.eml → Output: ~/Downloads/original_msg_email/
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/original_msg.eml

# Extract to custom location → Output: ~/Documents/extracted/
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/original_msg.eml -o ~/Documents/extracted

Output Structure

Every extraction creates:

email_name/
├── email.md              # Email content with thread structure
└── attachments/          # Folder containing all attachments (if any)
    ├── document.pdf
    ├── image.png
    └── ...

Common Workflows

1. Extract and Analyze Email

# Extract email
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/message.eml

# Read content
cat ~/Downloads/message_email/email.md
ls ~/Downloads/message_email/attachments/

Process: Extract → Read email.md → Review attachments → Analyze content and thread structure

2. Extract Email from Downloads

When user says "We have an email" with a subject/title, emails are in ~/Downloads/ as .eml files:

# Search for .eml files
find ~/Downloads -name "*.eml" -type f

# Extract the matching email
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/found_email.eml

3. Batch Process Multiple Emails

# Process all .eml files in directory
for eml in ~/Downloads/*.eml; do
    ~/.claude/skills/email-extractor/scripts/email-extractor extract "$eml"
done

4. Extract to Custom Location

# Extract to specific output directory
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/temp.eml -o /tmp/email-analysis

Email Markdown Format

The generated email.md file includes:

Header Section

  • From: Sender name and email
  • To: Recipients
  • Cc: Carbon copy recipients (if any)
  • Date: Sent date/time
  • Subject: Email subject line

Thread Structure

Emails are organized respecting the conversation thread:

# Email: [Subject]

## Metadata
- **From:** John Doe <john@example.com>
- **To:** Jane Smith <jane@example.com>
- **Date:** 2024-11-11 10:30:00
- **Subject:** Project Update

## Attachments
- document.pdf (attachments/document.pdf)
- image.png (attachments/image.png)

---

## Message Thread

### Latest Message (2024-11-11 10:30)
**From:** John Doe

[Message content]

---

### Previous Message (2024-11-10 15:20)
**From:** Jane Smith

[Message content]

Binary Details

How It Works

The email-extractor is a compiled Go binary that:

  • Parses .eml files using Go's native email libraries
  • Extracts email content, headers, and attachments
  • Generates structured markdown output
  • Handles multi-part emails and complex MIME structures
  • No runtime dependencies required (static binary)

Available Commands

~/.claude/skills/email-extractor/scripts/email-extractor extract <input_eml> [flags]

Command: extract

  • <input_eml> (required): Full path to .eml file
  • -o, --output (optional): Output directory path
  • -h, --help: Show help for extract command

Global Commands:

  • --help: Show all available commands and global options
  • version: Show binary version information

Prerequisites & Setup

Required

  • None - The binary is statically compiled and has no runtime dependencies

Installation

The binary is already compiled and located in:

~/.claude/skills/email-extractor/scripts/email-extractor

To rebuild from source (if needed), see the CLAUDE.md file in this skill directory.

Response Approach

When helping with email extraction:

  1. Understand task: What information needed? Are attachments important? Need thread structure?
  2. Locate email: Check mentioned locations, search ~/Downloads for .eml files
  3. Extract content: Use appropriate method (cleanup vs. permanent)
  4. Process: Read email.md, identify attachments, understand thread flow
  5. Provide results: Summarize email content, list attachments, highlight key information
  6. Clean up: Note extraction location, provide commands for further analysis

Performance & Best Practices

Performance:

  • Near-instant extraction (compiled binary)
  • No setup time required
  • No runtime dependencies
  • No API calls or external services
  • Minimal memory footprint

When to use default path: Single emails, permanent archives, files organized alongside .eml files

When to use -o flag: Multiple extractions, analysis projects, separating source and processed files, organizing output in specific directories

Troubleshooting

Common Issues

"Email file not found":

ls -lh /path/to/file.eml
find ~/Downloads -name "*.eml" -type f

"Cannot decode email":

  • Email might be corrupted
  • Try opening in email client first
  • Check file size: ls -lh file.eml

Binary permission issues:

# Make binary executable if needed
chmod +x ~/.claude/skills/email-extractor/scripts/email-extractor

# Verify binary works
~/.claude/skills/email-extractor/scripts/email-extractor --help

Integration with Topic Management

This skill integrates with the topic-manager skill:

Trigger Keywords:

  • User says "Extract email information"
  • User says "Using the email information"
  • User says "Update topic [name] with email" or "Update topic [name] using the email"
  • User mentions .eml files in context of topic updates

Workflow when updating topics with email information:

  1. Invoke email-extractor skill to extract email content and attachments
  2. Upload email.md to topic's Emails folder using google-drive-manager
  3. Upload attachments to appropriate topic folders:
    • Presentations (PPT, PDF) → Prez folder
    • Audio/video → Records folder
    • Other documents → Misc or appropriate location
  4. Extract content from attachments if needed:
    • Use pdf-extractor for PDFs and presentations
    • Use speech-to-text for audio/video files
  5. Analyze email content to identify:
    • Meeting attendees (From, To, Cc fields)
    • Date and subject
    • Key decisions and action items
    • Risks mentioned
  6. Reference email in topic's minutes with link to uploaded email.md
  7. Update topic Google Doc with extracted information

Example Flow:

User: "Update topic 'Q2 Planning' using the email information"

Assistant Process:
1. Search ~/Downloads for .eml file matching "Q2 Planning"
2. Run: email-extractor extract ~/Downloads/q2_planning.eml
3. Review email.md and attachments
4. Upload email.md to topic's Emails folder
5. Process any attachments (extract PDFs, etc.)
6. Update topic with extracted information

Use Cases

  • Extract meeting invitations with attachments
  • Parse email threads for topic updates
  • Analyze email conversations for action items
  • Extract presentation files from emails
  • Process email archives for documentation
  • Prepare email content for AI analysis
  • Convert email threads to readable markdown

Contract & API

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

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/smorand-email-extractor/snapshot"
curl -s "https://xpersona.co/api/v1/agents/smorand-email-extractor/contract"
curl -s "https://xpersona.co/api/v1/agents/smorand-email-extractor/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

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

70

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

70

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

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

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

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/smorand/email-extractor#input",
  "outputSchemaRef": "https://github.com/smorand/email-extractor#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:44:22.216Z",
  "sourceUpdatedAt": "2026-02-24T19:44:22.216Z",
  "freshnessSeconds": 4428149
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/smorand-email-extractor/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/smorand-email-extractor/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/smorand-email-extractor/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/smorand-email-extractor/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smorand-email-extractor/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smorand-email-extractor/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:46:51.863Z"
    }
  },
  "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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/smorand-email-extractor/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smorand-email-extractor/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:44:22.216Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/smorand-email-extractor/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smorand-email-extractor/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:22.216Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/smorand/email-extractor#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smorand-email-extractor/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:22.216Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Smorand",
    "href": "https://github.com/smorand/email-extractor",
    "sourceUrl": "https://github.com/smorand/email-extractor",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/smorand/email-extractor",
    "sourceUrl": "https://github.com/smorand/email-extractor",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/smorand-email-extractor/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smorand-email-extractor/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
  }
]

Sponsored

Ads related to email-extractor and adjacent AI workflows.