How should linkedin-spam-filter 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

linkedin-spam-filter answer-first brief

openclaw-skill-linkedin-spam-filter openclaw-skill-linkedin-spam-filter Detect LinkedIn spam/prospection messages via Beeper MCP. Generates suggested responses with confirmation workflow. Usage Configuration (env vars) | Variable | Required | Default | Description | |----------|----------|---------|-------------| | BEEPER_SERVER | | beeper | Beeper MCP server name | | MCPORTER_CMD | | mcporter | mcporter CLI path | | LINKEDIN_ROOM_PATTERN | | linkedin Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/24/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

linkedin-spam-filter 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

linkedin-spam-filter

MCPverified

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 24, 2026

Verifiededitorial-content1 verified compatibility signal

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP, OpenClaw

Freshness

Feb 24, 2026

Vendor

Manthis

Artifacts

Benchmarks

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Unpublished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. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/manthis/linkedin-spam-filter.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

Manthis

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP, OpenClaw

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 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

# Check LinkedIn messages
python3 scripts/linkedin-spam-filter.py [--dry-run] [--json]

# Test detection on text
python3 scripts/linkedin-spam-filter.py --test-text "Hi, I have an exciting opportunity..."

yaml

cron:
  - name: "LinkedIn Spam Filter"
    schedule: "0 */6 * * *"
    command: "python3 scripts/linkedin-spam-filter.py --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

openclaw-skill-linkedin-spam-filter

Detect LinkedIn spam/prospection messages via Beeper MCP. Generates suggested responses with confirmation workflow.

Usage

# Check LinkedIn messages
python3 scripts/linkedin-spam-filter.py [--dry-run] [--json]

# Test detection on text
python3 scripts/linkedin-spam-filter.py --test-text "Hi, I have an exciting opportunity..."

Configuration (env vars)

| Variable | Required | Default | Description | |----------|----------|---------|-------------| | BEEPER_SERVER | | beeper | Beeper MCP server name | | MCPORTER_CMD | | mcporter | mcporter CLI path | | LINKEDIN_ROOM_PATTERN | | linkedin | Pattern to match LinkedIn rooms | | SPAM_PATTERNS | | (built-in) | Regex patterns for detection | | RESPONSE_TEMPLATES | | (built-in) | JSON templates for responses | | LINKEDIN_STATE | | ~/.openclaw-linkedin-state.json | State file | | LINKEDIN_LOG | | ~/logs/linkedin-spam-filter.log | Log file |

Workflow

Detect — Scans LinkedIn DMs via Beeper MCP
Analyze — Matches against prospection patterns
Suggest — Generates response (FR/EN auto-detect)
Notify — Reports to agent for confirmation
Send — After human confirmation (not auto-sent)

Dependencies

mcporter CLI with Beeper MCP configured
Python 3.8+

OpenClaw Integration

cron:
  - name: "LinkedIn Spam Filter"
    schedule: "0 */6 * * *"
    command: "python3 scripts/linkedin-spam-filter.py --json"

Contract & API

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

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verifiedOpenClaw: self-declared

Requires: mcp, 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.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/snapshot"

curl -s "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract"

curl -s "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/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

GITLAB_AI_CATALOGgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-actix-web

Rank

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/manthis/linkedin-spam-filter#input",
  "outputSchemaRef": "https://github.com/manthis/linkedin-spam-filter#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:41:52.475Z",
  "sourceUpdatedAt": "2026-02-24T19:41:52.475Z",
  "freshnessSeconds": 4425632
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP",
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:02:24.910Z"
    }
  },
  "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": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract 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": "Manthis",
    "href": "https://github.com/manthis/linkedin-spam-filter",
    "sourceUrl": "https://github.com/manthis/linkedin-spam-filter",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP, OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:52.475Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:52.475Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/manthis/linkedin-spam-filter#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:52.475Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/manthis-linkedin-spam-filter/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
  }
]