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Checkpoint

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automateyournetwork
checkpoint

Inspect Check Point security policies, threat intelligence, gateways, and SASE through its MCP integrations. Use for Check Point platform questions or workflows.

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill namecheckpoint
Stars
680
Forks
189
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the Checkpoint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/checkpoint
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/checkpoint .claude/skills/checkpoint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Checkpoint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Checkpoint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Checkpoint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Check Point Security Platform

A comprehensive skill for interacting with Check Point enterprise security infrastructure through 15 MCP servers.

Activation

This skill activates when user queries involve:

  • Check Point firewall policies, rules, or objects
  • Security policy auditing or compliance
  • Threat intelligence (IP/URL/file reputation)
  • Gateway diagnostics and troubleshooting
  • SASE management and cloud security
  • Threat prevention profiles and IPS
  • Malware analysis and file sandboxing
  • Check Point documentation queries

Explicit activation: /checkpoint prefix

MCP Servers

This skill composes across 15 Check Point MCP servers:

ServerPurposeCredentials
chkp-managementPolicies, rules, objects, topologyMGMT server
chkp-management-logsConnection and audit logsMGMT server
chkp-threat-preventionTP profiles, IPS, IOC feedsMGMT server
chkp-https-inspectionHTTPS inspection policiesMGMT server
chkp-harmony-saseSASE regions, applicationsSASE API
chkp-reputation-serviceIP/URL/file reputationReputation API
chkp-quantum-gw-cliGateway diagnosticsMGMT server
chkp-gw-connection-analysisConnection debuggingMGMT server
chkp-threat-emulationMalware analysisTE API
chkp-quantum-gaiaGAIA OS managementMGMT server
chkp-documentationCheck Point docs searchNone
chkp-spark-managementSpark firewall (MSP)Spark API
chkp-cpinfo-analysisCPInfo diagnosticsNone
chkp-argos-ermExposure/risk managementArgos API
chkp-policy-insightsPolicy optimizationMGMT server

Query Routing

Policy & Object Queries (US1)

Keywords: policy, rule, firewall, access, NAT, object, host, network, group, audit, permissive, compliance MCP: chkp-management, chkp-policy-insights

Examples:

  • "show me all firewall policies"
  • "audit my policies for overly permissive rules"
  • "show all rules allowing any-any"
  • "list host objects matching 10.1.*"
  • "show NAT rules for the DMZ policy"
  • "suggest policy optimizations"
  • "show gateways and servers"

Log Queries

Keywords: logs, audit, connection, history, traffic MCP: chkp-management-logs

Examples:

  • "show recent connection logs"
  • "query audit logs for the last hour"
  • "show log statistics"

Threat Intelligence (US2)

Keywords: reputation, malicious, suspicious, threat, IP, URL, hash, file, indicator MCP: chkp-reputation-service

Examples:

  • "check reputation of IP 185.220.101.1"
  • "is this URL malicious: http://example.com/suspicious"
  • "check file reputation for SHA256 abc123..."
  • "what's the risk score for IP 8.8.8.8"

Gateway Diagnostics (US3)

Keywords: gateway, health, CPU, memory, interface, performance, status, cluster, HA MCP: chkp-quantum-gw-cli

Gateway Selection: When multiple gateways are configured, the skill uses the first configured gateway by default. Users can specify a different gateway in their query (e.g., "show health for gateway fw-london").

Examples:

  • "show gateway health status"
  • "what's causing high CPU on the gateway"
  • "show interface statistics for eth0"
  • "show top connections"
  • "show ClusterXL status"
  • "show performance overview"

Connection Debugging

Keywords: debug, connection, failing, drops, blocked, troubleshoot, traffic MCP: chkp-gw-connection-analysis

Examples:

  • "debug why connection from 10.1.1.1 to 8.8.8.8 is failing"
  • "analyze dropped packets on the gateway"
  • "why is traffic being blocked to port 443"

Threat Prevention (US4)

Keywords: threat, IPS, protection, CVE, IOC, feed, profile, signature MCP: chkp-threat-prevention

Examples:

  • "show threat prevention profiles"
  • "what IPS protections are available for CVE-2024-1234"
  • "show active IOC feeds and their status"
  • "show threat indicators"

SASE Management (US5)

Keywords: SASE, harmony, cloud, region, application, distributed MCP: chkp-harmony-sase

Examples:

  • "show all SASE regions"
  • "list applications in SASE policy"
  • "show SASE network configurations"
  • "show SASE configuration status"

Malware Analysis (US6)

Keywords: analyze, file, malware, sandbox, emulation, verdict, suspicious MCP: chkp-threat-emulation

Examples:

  • "analyze file with hash abc123..."
  • "submit file for malware analysis"
  • "get verdict for SHA256 xyz789..."
  • "show analysis report for submission ID 12345"

HTTPS Inspection

Keywords: HTTPS, SSL, inspection, decryption, certificate, bypass MCP: chkp-https-inspection

Examples:

  • "show HTTPS inspection rules"
  • "show HTTPS bypass exceptions"
  • "how is SSL decryption configured"

GAIA OS

Keywords: GAIA, route, ARP, interface, OS, routing, table MCP: chkp-quantum-gaia

Examples:

  • "show GAIA interfaces"
  • "show routing table"
  • "show ARP table"

Documentation

Keywords: docs, documentation, how, guide, reference, what is, configure, setup MCP: chkp-documentation

Examples:

  • "how do I configure HTTPS inspection"
  • "what is ClusterXL"
  • "show documentation for SmartConsole"
  • "how to set up VPN"

Spark Firewall (MSP)

Keywords: Spark, MSP, appliance, distributed, SMB MCP: chkp-spark-management

Examples:

  • "list Spark appliances"
  • "show Spark policy for appliance X"
  • "show Spark appliance status"

CPInfo Diagnostics

Keywords: CPInfo, diagnostic, support, health check, dump MCP: chkp-cpinfo-analysis

Examples:

  • "analyze CPInfo file from /path/to/cpinfo.tgz"
  • "extract metrics from CPInfo"

Exposure/Risk Management

Keywords: exposure, risk, vulnerability, alert, asset, ERM MCP: chkp-argos-erm

Examples:

  • "show security alerts"
  • "list monitored assets"
  • "query threats for my organization"
  • "show organizational risk score"

Cross-Platform Composition (US7)

This skill can compose with other NetClaw skills for advanced queries:

Check Point + CML

  • "cross-reference firewall rules with my CML lab topology"
  • "which Check Point rules would affect traffic in my lab"

Check Point + SuzieQ

  • "which Check Point rules affect traffic to devices in SuzieQ inventory"
  • "compare firewall policies with network paths from SuzieQ"

Check Point + Batfish

  • "validate Check Point policies against Batfish reachability analysis"
  • "check for policy conflicts using Batfish"

Logging Configuration

Query logging is controlled by the CHKP_LOG_LEVEL environment variable:

LevelBehavior
minimalLog errors only
standardLog queries and MCPs invoked (default)
verboseLog queries, MCPs, and response summaries

Error Handling

MCP Not Configured

If a required MCP is not configured, the skill reports which credentials are missing and provides setup guidance.

Authentication Failures

For auth failures, the skill suggests verifying:

  1. API key or username/password is correct
  2. Management server is reachable
  3. User has API access permissions

Partial Configuration

The skill works with partial configurations. If only Management Server credentials are set, policy and gateway queries work but SASE and Reputation queries will indicate those MCPs are unavailable.

Credential Reference

All credentials are stored in ~/.openclaw/.env with the CHKP_ prefix:

bash
# Management Server (on-prem)
CHKP_MGMT_HOST=192.168.1.100
CHKP_MGMT_PORT=443
CHKP_MGMT_API_KEY=your-api-key
# OR username/password:
# CHKP_MGMT_USERNAME=admin
# CHKP_MGMT_PASSWORD=your-password
CHKP_MGMT_DOMAIN=                    # For MDS only

# Smart-1 Cloud (alternative)
# CHKP_S1C_API_KEY=your-s1c-key
# CHKP_S1C_URL=https://tenant.maas.checkpoint.com

# Harmony SASE
CHKP_SASE_API_KEY=your-sase-key
CHKP_SASE_MGMT_HOST=https://api.us1.sase.checkpoint.com/api
CHKP_SASE_ORIGIN=https://tenant.sase.checkpoint.com

# Reputation Service
CHKP_REPUTATION_API_KEY=your-reputation-key

# Threat Emulation
CHKP_TE_API_KEY=your-te-key

# Spark (MSP)
CHKP_SPARK_API_KEY=your-spark-key

# Argos ERM
CHKP_ARGOS_API_KEY=your-argos-key

# Global
CHKP_TELEMETRY_DISABLED=true
CHKP_LOG_LEVEL=standard

Quick Start

  1. Enable Check Point integration:

    bash
    ./scripts/checkpoint-enable.sh
  2. Configure minimum credentials in ~/.openclaw/.env:

    bash
    CHKP_MGMT_HOST=192.168.1.100
    CHKP_MGMT_API_KEY=your-api-key
    CHKP_TELEMETRY_DISABLED=true
  3. Test the skill:

    bash
    openclaw
    > /checkpoint show my firewall policies
    > /checkpoint check reputation of IP 8.8.8.8

See Also

Frequently asked questions

What does the Checkpoint AI skill do?

Inspect Check Point security policies, threat intelligence, gateways, and SASE through its MCP integrations. Use for Check Point platform questions or workflows.

Why use Checkpoint on TypingMind?

Because you install it once and use it with any model. Checkpoint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Checkpoint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/checkpoint. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Checkpoint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Checkpoint?

As many as you like. As long as a model supports skills, you can use Checkpoint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Checkpoint AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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