Perform structured log source onboarding into SIEM platforms by configuring collectors, parsers, normalization, and validation for complete security visibility.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperforming-log-source-onboarding-in-siemExecute the skills CLI command in your project's root directory to begin installation:
Fetches performing-log-source-onboarding-in-siem 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 performing-log-source-onboarding-in-siem. Access via /performing-log-source-onboarding-in-siem 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 | performing-log-source-onboarding-in-siem |
| description | Perform structured log source onboarding into SIEM platforms by configuring collectors, parsers, normalization, and validation for complete security visibility. |
| domain | cybersecurity |
| subdomain | soc-operations |
| tags | - siem - log-onboarding - log-management - data-ingestion - parsing - normalization - soc |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - DE.CM-01 - DE.AE-02 - RS.MA-01 - DE.AE-06 |
Log source onboarding is the systematic process of integrating new data sources into a SIEM platform to enable security monitoring and detection. Proper onboarding requires planning data sources, configuring collection agents, building parsers, normalizing fields to a common schema, and validating data quality. According to the UK NCSC, onboarding should prioritize log sources that provide the highest security value relative to their ingestion cost.
| Source | Log Type | Security Value |
|---|---|---|
| Active Directory | Security Event Logs | Authentication, privilege escalation |
| Firewalls | Traffic logs | Network access, C2 detection |
| EDR/AV | Endpoint alerts | Malware, process execution |
| VPN/Remote Access | Connection logs | Unauthorized access |
| DNS Servers | Query logs | C2 beaconing, data exfiltration |
| Email Gateway | Email security logs | Phishing, BEC |
| Source | Log Type | Security Value |
|---|---|---|
| Web Proxy | HTTP/HTTPS logs | Web-based attacks, data exfiltration |
| Cloud platforms (AWS/Azure/GCP) | Audit logs | Cloud security posture |
| Database servers | Audit/query logs | Data access, SQL injection |
| DHCP/IPAM | Address allocation | Asset tracking |
| File servers | Access logs | Data access monitoring |
| Source | Log Type | Security Value |
|---|---|---|
| Application servers | App logs | Application-level attacks |
| Print servers | Print logs | Data loss prevention |
| Badge/physical access | Access logs | Physical security correlation |
| Network devices (switches/routers) | Syslog | Network anomalies |
1. Identify the log source:
- System type and version
- Log format (syslog, CEF, JSON, Windows Events, etc.)
- Log volume estimate (EPS - events per second)
- Network location and firewall requirements
2. Assess security value:
- What threats can this source help detect?
- Which MITRE ATT&CK techniques does it cover?
- Is there an existing SIEM parser?
3. Estimate ingestion cost:
- Daily volume in GB
- License impact (per-GB or per-EPS pricing)
- Storage retention requirements
# rsyslog configuration for receiving syslog
# /etc/rsyslog.d/10-siem-collection.conf
# UDP reception
module(load="imudp")
input(type="imudp" port="514" ruleset="siem_forwarding")
# TCP reception
module(load="imtcp")
input(type="imtcp" port="514" ruleset="siem_forwarding")
# TLS reception
module(load="imtcp" StreamDriver.AuthMode="x509/name"
StreamDriver.Mode="1" StreamDriver.Name="gtls")
input(type="imtcp" port="6514" ruleset="siem_forwarding")
ruleset(name="siem_forwarding") {
# Forward to SIEM
action(type="omfwd" target="siem.company.com" port="9514"
protocol="tcp" queue.type="LinkedList"
queue.filename="siem_fwd" queue.maxdiskspace="1g"
queue.saveonshutdown="on" action.resumeRetryCount="-1")
}
# inputs.conf on Splunk Universal Forwarder
[WinEventLog://Security]
disabled = 0
index = wineventlog
sourcetype = WinEventLog:Security
evt_resolve_ad_obj = 1
checkpointInterval = 5
[WinEventLog://System]
disabled = 0
index = wineventlog
sourcetype = WinEventLog:System
[WinEventLog://Microsoft-Windows-Sysmon/Operational]
disabled = 0
index = wineventlog
sourcetype = XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
renderXml = true
[WinEventLog://Microsoft-Windows-PowerShell/Operational]
disabled = 0
index = wineventlog
sourcetype = XmlWinEventLog:Microsoft-Windows-PowerShell/Operational
{
"AWSTemplateFormatVersion": "2010-09-09",
"Resources": {
"CloudTrailToSIEM": {
"Type": "AWS::CloudTrail::Trail",
"Properties": {
"TrailName": "siem-cloudtrail",
"S3BucketName": "company-cloudtrail-logs",
"IsLogging": true,
"IsMultiRegionTrail": true,
"IncludeGlobalServiceEvents": true,
"EnableLogFileValidation": true,
"EventSelectors": [
{
"ReadWriteType": "All",
"IncludeManagementEvents": true,
"DataResources": [
{
"Type": "AWS::S3::Object",
"Values": ["arn:aws:s3"]
}
]
}
]
}
}
}
}
# props.conf
[custom:firewall:logs]
SHOULD_LINEMERGE = false
LINE_BREAKER = ([\r\n]+)
TIME_PREFIX = ^
TIME_FORMAT = %Y-%m-%dT%H:%M:%S%z
MAX_TIMESTAMP_LOOKAHEAD = 30
TRANSFORMS-firewall = firewall_extract_fields
FIELDALIAS-src = src_addr AS src_ip
FIELDALIAS-dst = dst_addr AS dest_ip
EVAL-action = case(fw_action=="allow", "allowed", fw_action=="deny", "blocked", true(), "unknown")
EVAL-vendor_product = "Custom Firewall"
LOOKUP-geo = geo_ip_lookup ip AS dest_ip OUTPUT country, city, latitude, longitude
# transforms.conf
[firewall_extract_fields]
REGEX = ^(\S+)\s+(\S+)\s+action=(\w+)\s+src=(\S+):(\d+)\s+dst=(\S+):(\d+)\s+proto=(\w+)\s+bytes=(\d+)
FORMAT = timestamp::$1 hostname::$2 fw_action::$3 src_addr::$4 src_port::$5 dst_addr::$6 dst_port::$7 protocol::$8 bytes::$9
| Raw Field | CIM Field | Data Model |
|---|---|---|
| src_addr | src_ip | Network_Traffic |
| dst_addr | dest_ip | Network_Traffic |
| dst_port | dest_port | Network_Traffic |
| fw_action | action | Network_Traffic |
| bytes_sent + bytes_recv | bytes | Network_Traffic |
| user_name | user | Authentication |
| login_result | action | Authentication |
| process_path | process | Endpoint |
# Verify events are arriving
index=new_source earliest=-1h
| stats count by sourcetype, host, source
# Check field extraction quality
index=new_source earliest=-1h
| stats count(src_ip) as has_src count(dest_ip) as has_dest count(action) as has_action count by sourcetype
| eval src_coverage=round(has_src/count*100,1)
| eval dest_coverage=round(has_dest/count*100,1)
| eval action_coverage=round(has_action/count*100,1)
# Verify CIM compliance
| datamodel Network_Traffic search
| search sourcetype=new_sourcetype
| stats count by source, sourcetype
# Check for timestamp parsing issues
index=new_source earliest=-1h
| eval time_diff=abs(_time - _indextime)
| stats avg(time_diff) as avg_lag max(time_diff) as max_lag by host
| where avg_lag > 300
# Verify existing correlation searches work with new source
index=new_source sourcetype=new_sourcetype
| tstats count from datamodel=Authentication by _time span=1h
| timechart span=1h count
# Create source-specific detection rule
[New Source - Authentication Anomaly]
search = index=new_source sourcetype=new_sourcetype action=failure \
| stats count by src_ip, user \
| where count > 10
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
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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.
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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
Solid pick for teams standardizing on skills: performing-log-source-onboarding-in-siem is focused, and the summary matches what you get after install.
Useful defaults in performing-log-source-onboarding-in-siem — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
performing-log-source-onboarding-in-siem has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: performing-log-source-onboarding-in-siem is the kind of skill you can hand to a new teammate without a long onboarding doc.
performing-log-source-onboarding-in-siem is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: performing-log-source-onboarding-in-siem is the kind of skill you can hand to a new teammate without a long onboarding doc.
performing-log-source-onboarding-in-siem reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend performing-log-source-onboarding-in-siem for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
performing-log-source-onboarding-in-siem has been reliable in day-to-day use. Documentation quality is above average for community skills.
performing-log-source-onboarding-in-siem reduced setup friction for our internal harness; good balance of opinion and flexibility.
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