Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration. Use when building visibility into endpoint state, threat hunting across fleet, or implementing compliance monitoring. Activates for requests involving osquery deployment, endpoint visibility, fleet management, or SQL-based endpoint querying.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondeploying-osquery-for-endpoint-monitoringExecute the skills CLI command in your project's root directory to begin installation:
Fetches deploying-osquery-for-endpoint-monitoring from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate deploying-osquery-for-endpoint-monitoring. Access via /deploying-osquery-for-endpoint-monitoring in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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| name | deploying-osquery-for-endpoint-monitoring |
| description | 'Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration. Use when building visibility into endpoint state, threat hunting across fleet, or implementing compliance monitoring. Activates for requests involving osquery deployment, endpoint visibility, fleet management, or SQL-based endpoint querying. ' |
| domain | cybersecurity |
| subdomain | endpoint-security |
| tags | - endpoint - osquery - endpoint-monitoring - threat-hunting - fleet-management |
| mitre_attack | - T1547 - T1049 - T1620 - T1053.003 - T1548.001 - T1552 |
| version | 1.0.0 |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.PS-01 - PR.PS-02 - DE.CM-01 - PR.IR-01 |
Use this skill when:
Do not use for real-time alerting (osquery is periodic/on-demand; use EDR for real-time).
# Ubuntu/Debian
export OSQUERY_KEY=1484120AC4E9F8A1A577AEEE97A80C63C9D8B80B
apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys $OSQUERY_KEY
add-apt-repository 'deb [arch=amd64] https://pkg.osquery.io/deb deb main'
apt-get update && apt-get install osquery -y
# Windows (MSI)
# Download from https://osquery.io/downloads/official
msiexec /i osquery-5.12.1.msi /quiet
# macOS
brew install osquery
// /etc/osquery/osquery.conf (Linux/macOS) or C:\ProgramData\osquery\osquery.conf
{
"options": {
"config_plugin": "filesystem",
"logger_plugin": "filesystem",
"logger_path": "/var/log/osquery",
"disable_logging": "false",
"schedule_splay_percent": "10",
"events_expiry": "3600",
"verbose": "false",
"worker_threads": "2",
"enable_monitor": "true",
"disable_events": "false",
"disable_audit": "false",
"audit_allow_config": "true",
"host_identifier": "hostname",
"enable_syslog": "true"
},
"schedule": {
"process_monitor": {
"query": "SELECT pid, name, path, cmdline, uid, parent FROM processes WHERE on_disk = 0;",
"interval": 300,
"description": "Detect processes running without on-disk binary (fileless)"
},
"listening_ports": {
"query": "SELECT DISTINCT p.name, p.path, lp.port, lp.protocol, lp.address FROM listening_ports lp JOIN processes p ON lp.pid = p.pid WHERE lp.port != 0;",
"interval": 600,
"description": "Monitor listening network ports"
},
"persistence_check": {
"query": "SELECT name, path, source FROM startup_items;",
"interval": 3600,
"description": "Monitor persistence mechanisms"
},
"installed_packages": {
"query": "SELECT name, version, source FROM deb_packages;",
"interval": 86400,
"description": "Daily software inventory"
},
"users_and_groups": {
"query": "SELECT u.username, u.uid, u.gid, u.shell, u.directory FROM users u WHERE u.uid >= 1000;",
"interval": 3600
},
"crontab_monitor": {
"query": "SELECT * FROM crontab;",
"interval": 3600,
"description": "Monitor scheduled tasks"
},
"suid_binaries": {
"query": "SELECT path, username, permissions FROM suid_bin;",
"interval": 86400,
"description": "Detect SUID binaries"
}
},
"packs": {
"incident-response": "/usr/share/osquery/packs/incident-response.conf",
"ossec-rootkit": "/usr/share/osquery/packs/ossec-rootkit.conf",
"vuln-management": "/usr/share/osquery/packs/vuln-management.conf"
}
}
-- Detect processes with no on-disk binary (potential fileless malware)
SELECT pid, name, path, cmdline FROM processes WHERE on_disk = 0;
-- Find listening ports not associated with known services
SELECT lp.port, lp.protocol, p.name, p.path
FROM listening_ports lp JOIN processes p ON lp.pid = p.pid
WHERE lp.port NOT IN (22, 80, 443, 3306, 5432);
-- Detect unauthorized SSH keys
SELECT * FROM authorized_keys WHERE NOT key LIKE '%admin-team%';
-- Find recently modified system binaries
SELECT path, mtime, size FROM file
WHERE path LIKE '/usr/bin/%' AND mtime > (strftime('%s', 'now') - 86400);
-- Detect processes connecting to external IPs
SELECT DISTINCT p.name, p.path, pn.remote_address, pn.remote_port
FROM process_open_sockets pn JOIN processes p ON pn.pid = p.pid
WHERE pn.remote_address NOT LIKE '10.%'
AND pn.remote_address NOT LIKE '172.16.%'
AND pn.remote_address NOT LIKE '192.168.%'
AND pn.remote_address != '127.0.0.1'
AND pn.remote_address != '0.0.0.0';
-- Windows: Detect unsigned running executables
SELECT p.name, p.path, a.result AS signature_status
FROM processes p JOIN authenticode a ON p.path = a.path
WHERE a.result != 'trusted';
# FleetDM provides centralized osquery management
# Deploy FleetDM server, configure agents to report to it
# Agents use TLS enrollment and config from Fleet
# Agent configuration for Fleet:
# --tls_hostname=fleet.corp.com
# --tls_server_certs=/etc/osquery/fleet.pem
# --enroll_secret_path=/etc/osquery/enroll_secret
| Term | Definition |
|---|---|
| Osquery | Open-source endpoint agent that exposes OS state as SQL tables for querying |
| Schedule | Periodic queries that run at defined intervals and log results |
| Pack | Collection of related queries grouped for specific use cases (IR, compliance) |
| FleetDM | Open-source osquery fleet management platform |
| Differential Results | Osquery logs only changes between query executions, reducing data volume |
EXPLAIN.--disable_events=false.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
Registry listing for deploying-osquery-for-endpoint-monitoring matched our evaluation — installs cleanly and behaves as described in the markdown.
deploying-osquery-for-endpoint-monitoring fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in deploying-osquery-for-endpoint-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added deploying-osquery-for-endpoint-monitoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
deploying-osquery-for-endpoint-monitoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
deploying-osquery-for-endpoint-monitoring has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in deploying-osquery-for-endpoint-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
deploying-osquery-for-endpoint-monitoring is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
deploying-osquery-for-endpoint-monitoring has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: deploying-osquery-for-endpoint-monitoring is the kind of skill you can hand to a new teammate without a long onboarding doc.
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