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
Crawler Summary
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
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
Public facts
7
Change events
1
Artifacts
0
Freshness
Feb 22, 2026
Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 22, 2026
Vendor
Smorand
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Smorand
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
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/
Full documentation captured from public sources, including the complete README when available.
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
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.
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.
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
When no output directory specified:
/path/to/message.eml/path/to/message_email/ (same directory as .eml)When custom output directory specified:
/path/to/message.eml/target//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
Every extraction creates:
email_name/
├── email.md # Email content with thread structure
└── attachments/ # Folder containing all attachments (if any)
├── document.pdf
├── image.png
└── ...
# 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
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
# Process all .eml files in directory
for eml in ~/Downloads/*.eml; do
~/.claude/skills/email-extractor/scripts/email-extractor extract "$eml"
done
# Extract to specific output directory
~/.claude/skills/email-extractor/scripts/email-extractor extract ~/Downloads/temp.eml -o /tmp/email-analysis
The generated email.md file includes:
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]
The email-extractor is a compiled Go binary that:
~/.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 commandGlobal Commands:
--help: Show all available commands and global optionsversion: Show binary version informationThe 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.
When helping with email extraction:
Performance:
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
"Email file not found":
ls -lh /path/to/file.eml
find ~/Downloads -name "*.eml" -type f
"Cannot decode email":
ls -lh file.emlBinary 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
This skill integrates with the topic-manager skill:
Trigger Keywords:
Workflow when updating topics with email information:
google-drive-managerpdf-extractor for PDFs and presentationsspeech-to-text for audio/video filesExample 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
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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.