parsing-helper

name	parsing-helper
description	Customize and test Grok parsing for USP, Cloud Sensor, and External adapters. Helps generate parsing rules from sample logs, validate against test data, and deploy configurations. Use when setting up new log sources, troubleshooting parsing issues, or modifying field extraction for adapters.
allowed-tools	["Task","Read","Bash","Skill","AskUserQuestion"]

Parsing Helper

A guided workflow for creating, testing, and deploying Grok parsing configurations for LimaCharlie adapters. This skill helps you customize how log data is parsed and normalized as it's ingested into LimaCharlie.

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LimaCharlie Integration

Prerequisites: Run /init-lc to initialize LimaCharlie context.

LimaCharlie CLI Access

All LimaCharlie operations use the limacharlie CLI directly:

limacharlie <noun> <verb> --oid <oid> --output yaml [flags]

For command help and discovery: limacharlie <command> --ai-help

Critical Rules

Rule	Wrong	Right
CLI Access	Call MCP tools or spawn api-executor	Use Bash("limacharlie ...") directly
Output Format	--output json	--output yaml (more token-efficient)
Filter Output	Pipe to jq/yq	Use --filter JMESPATH to select fields
LCQL Queries	Write query syntax manually	Use limacharlie ai generate-query first
Timestamps	Calculate epoch values	Use date +%s or date -d '7 days ago' +%s
OID	Use org name	Use UUID (call limacharlie org list if needed)

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⚠️ TIMEZONE NOTE: Patterns like SYSLOGTIMESTAMP (Dec 16 17:50:04) lack timezone info. LimaCharlie assumes UTC. This skill automatically detects timezone mismatches by comparing parsed times to current UTC.

When to Use

Use this skill when:

• Setting up new log parsing: Configure Grok patterns for a new log source
• Troubleshooting parsing issues: Logs aren't being parsed correctly or fields are missing
• Modifying field extraction: Need to add, remove, or change extracted fields
• Testing parsing changes: Validate new parsing rules before deploying to production
• Generating adapter configurations: Create YAML/CLI config for local USP adapters

Common scenarios:

• "Help me parse these firewall logs"
• "The timestamp isn't being extracted correctly from my syslog"
• "I need to add a new field to my adapter parsing"
• "Generate a Grok pattern for these log samples"
• "Test this parsing configuration before I deploy it"

What This Skill Does

This skill provides a 5-phase workflow:

1. Organization Selection - Select the LimaCharlie organization
2. Adapter Discovery - Identify the adapter type and get current configuration
3. Sample Log Collection - Get sample logs from the adapter's sensor or user input
4. Grok Pattern Generation - Analyze logs and generate appropriate Grok patterns
5. Validation & Deployment - Test parsing and apply configuration

Supported Adapter Types

Type	Description	Configuration Method
External Adapter	Cloud-managed adapters (syslog, webhook, API)	Update via set_external_adapter API
Cloud Sensor	Virtual sensors for cloud platforms (AWS, Azure, GCP, SaaS)	Update via set_cloud_sensor API
One-off/USP Adapter	On-prem adapters with local configuration	Output YAML/CLI config for user

Required Information

Before starting, gather:

• Organization: The LimaCharlie org where the adapter is configured
• Adapter Type: External Adapter, Cloud Sensor, or One-off/USP Adapter
• Adapter Name: For cloud-managed adapters, the name of the existing adapter
• Sample Logs: Either from the adapter's sensor or user-provided samples

How to Use

Phase 1: Organization Selection

Get the list of available organizations:

limacharlie org list --output yaml

Use AskUserQuestion to let the user select an organization if multiple are available.

Phase 2: Adapter Discovery & Type Selection

Ask the user which adapter type they're working with using AskUserQuestion:

Option A: External Adapter (cloud-managed syslog, webhook, API)

1. List available external adapters:

limacharlie external-adapter list --oid <SELECTED_ORG_ID> --output yaml

2. Get the selected adapter's current configuration:

limacharlie external-adapter get --key <ADAPTER_NAME> --oid <SELECTED_ORG_ID> --output yaml

Option B: Cloud Sensor (AWS, Azure, GCP, SaaS)

1. List available cloud sensors:

limacharlie cloud-adapter list --oid <SELECTED_ORG_ID> --output yaml

2. Get the selected cloud sensor's current configuration:

limacharlie cloud-adapter get --key <SENSOR_NAME> --oid <SELECTED_ORG_ID> --output yaml

Option C: One-off/USP Adapter (local adapter, no cloud config)

No API calls needed. Proceed directly to sample log collection.

Phase 3: Get Sample Log Data

Option A: Query from adapter's sensor (for cloud-managed adapters)

If the adapter is already ingesting data, you can fetch sample events:

1. Find the sensor by IID (Installation ID from the adapter's installation key):

limacharlie sensor list --oid <SELECTED_ORG_ID> --filter "[?iid=='<IID>']" --output yaml

2. Get recent events from the sensor:

IMPORTANT: Always calculate timestamps dynamically using Bash FIRST:

# Run this to get current epoch timestamps for the last hour
start=$(date -d '1 hour ago' +%s) && end=$(date +%s) && echo "start=$start end=$end"

Then use the actual output values (e.g., start=1764805928 end=1764809528) directly in the CLI call - do NOT use placeholder values:

limacharlie search run --query "event sid = '<SENSOR_ID>'" --start $start --end $end --oid <SELECTED_ORG_ID> --filter "[:10]" --output yaml

3. Extract the raw log content from the events for analysis.

Option B: User provides sample logs

If no data is available or for one-off adapters, ask the user to paste sample log lines.

Use AskUserQuestion or direct text input to collect sample logs.

Recognizing Unparsed Events

When fetching events from a sensor, unparsed logs appear as:

• event_type: "unknown_event" in the routing
• Event payload contains only a text field with the raw log line

Example of an unparsed event:

{
  "event": {
    "text": "2025-12-03 16:41:19 status installed shared-mime-info:amd64 2.2-1"
  },
  "routing": {
    "event_type": "unknown_event",
    "hostname": "my-adapter"
  }
}

This indicates no Grok parsing is configured for the adapter. The raw content in the text field is what you need to analyze and create a parsing pattern for.

Phase 4: Generate Grok Pattern

Analyze the sample logs and generate an appropriate Grok pattern.

Common Grok Patterns:

Pattern	Description	Example Match
%{TIMESTAMP_ISO8601:timestamp}	ISO 8601 timestamp (YYYY-MM-DD)	2024-01-15T12:30:45Z or 2024-01-15 12:30:45
%{DATESTAMP:timestamp}	US/EU date format (MM-DD-YY)	01-15-24 12:30:45
%{SYSLOGTIMESTAMP:date}	Syslog timestamp	Jan 15 12:30:45
%{IP:ip_address}	IPv4/IPv6 address	192.168.1.100
%{HOSTNAME:host}	Hostname	server01.example.com
%{NUMBER:value}	Numeric value	12345
%{INT:count}	Integer	42
%{WORD:action}	Single word	ACCEPT
%{DATA:field}	Non-greedy match (up to delimiter)	any text
%{GREEDYDATA:message}	Greedy match (rest of line)	everything else
%{LOGLEVEL:level}	Log level	ERROR, WARN, INFO
%{POSINT:port}	Positive integer	443

Timestamp Pattern Warning: Do NOT use %{DATESTAMP} for YYYY-MM-DD format logs - it will misparse the year (treating 2025-12-03 as day=25, month=12, year=03). Use %{TIMESTAMP_ISO8601} instead for any YYYY-MM-DD formatted timestamps.

IMPORTANT - Grok Field Name for Text Platform:

For text platform adapters, always use message as the key in parsing_grok:

parsing_grok:
  message: '%{PATTERN:field} ...'  # Always use "message" as the key, NOT "text"

Building the Mapping Configuration:

client_options:
  mapping:
    parsing_grok:
      message: '%{SYSLOGTIMESTAMP:date} %{HOSTNAME:host} %{WORD:service}\[%{INT:pid}\]: %{GREEDYDATA:message}'
    event_type_path: "service"
    event_time_path: "date"
    sensor_hostname_path: "host"

Phase 4.5: Automatic Timestamp Timezone Check

REQUIRED: After validation, MUST perform this sanity check for patterns without explicit timezone.

Applies when Grok pattern uses:

• %{SYSLOGTIMESTAMP} - e.g., Dec 16 17:50:04
• %{DATESTAMP} - e.g., 12-16-24 17:50:04
• %{TIMESTAMP_ISO8601} without Z or offset - e.g., 2024-12-16 17:50:04

Automatic Detection Steps:

1. After validate_usp_mapping returns, extract the event_time from results (epoch milliseconds)

2. Get current UTC epoch:

date -u +%s

3. Calculate the offset:

# Example: event_time=1734357004000 (milliseconds)
# current_utc=$(date -u +%s)
# offset_hours=$(( (current_utc - event_time/1000) / 3600 ))

4. If offset is 4-12 hours: The logs are likely in a local timezone (US timezones are UTC-5 to UTC-8)

   Automatically warn the user:

   ⚠️ Timezone Warning: The parsed event_time appears to be ~[X] hours behind current UTC time. This suggests your log timestamps are in local time (e.g., Pacific Time), not UTC.

   LimaCharlie interprets all timestamps without timezone info as UTC. Your events will appear [X] hours in the past.

   Recommendation: Configure your log source to emit UTC timestamps:

   • rsyslog: Add $ActionFileDefaultTemplate RSYSLOG_FileFormat to rsyslog.conf
   • systemd-journald: Already uses UTC by default

5. Continue with deployment even if warning is shown (user can address later)

Phase 5: Validate & Apply

Step 1: Validate the parsing configuration

Use validate_usp_mapping to test the Grok pattern against sample data:

# Write adapter config with mapping and sample data to a YAML file:
cat > /tmp/usp-test.yaml << 'EOF'
parsing_grok:
  message: "%{SYSLOGTIMESTAMP:date} %{HOSTNAME:host} %{WORD:service}\\[%{INT:pid}\\]: %{GREEDYDATA:msg}"
event_type_path: service
event_time_path: date
sensor_hostname_path: host
sample_data:
  - "<SAMPLE_LOG_LINES>"
EOF
limacharlie usp validate --oid <SELECTED_ORG_ID> --platform text --input-file /tmp/usp-test.yaml --output yaml

Note: The mapping object should have parsing_grok, event_type_path, event_time_path, and sensor_hostname_path at the same level - NOT nested under a parsing key.

Step 2: Review parsed results

Show the parsed events to the user:

• Verify all expected fields are extracted
• Confirm event type assignment

Automatic Timezone Sanity Check:

If the Grok pattern uses SYSLOGTIMESTAMP, DATESTAMP, or TIMESTAMP_ISO8601 without explicit timezone:

1. Get current UTC: current_utc=$(date -u +%s)

2. Extract event_time from validation result (milliseconds)

3. Calculate offset: offset_hours=$(( (current_utc - event_time/1000) / 3600 ))

4. If offset is 4-12 hours, display warning:

   "⚠️ Timezone Mismatch Detected: Parsed time is ~[offset] hours behind UTC. Your logs appear to be in local time. Events will be timestamped incorrectly in LimaCharlie. Consider configuring your log source to use UTC."

Step 3: Iterate if needed

If validation fails or fields are missing, adjust the Grok pattern and re-validate.

Step 4: Apply configuration

For External Adapters:

# Write config to temp file
cat > /tmp/adapter-config.yaml << 'EOF'
... existing config with updated parsing_rules ...
EOF
limacharlie external-adapter set --key <ADAPTER_NAME> --input-file /tmp/adapter-config.yaml --oid <SELECTED_ORG_ID>

For Cloud Sensors:

# Write config to temp file
cat > /tmp/cloud-adapter-config.yaml << 'EOF'
... existing config with updated parsing ...
EOF
limacharlie cloud-adapter set --key <SENSOR_NAME> --input-file /tmp/cloud-adapter-config.yaml --oid <SELECTED_ORG_ID>

Step 5: Verify no adapter errors

After applying the configuration for External Adapters or Cloud Sensors, check for any errors:

limacharlie org errors --oid <SELECTED_ORG_ID> --output yaml

Look for errors related to the adapter. If errors appear, review the adapter configuration and address the issues.

For One-off/USP Adapters:

Provide the configuration for the user to apply locally:

YAML Config:

file:
  client_options:
    platform: text
    identity:
      installation_key: <IID>
      oid: <OID>
    sensor_seed_key: my-adapter
    mapping:
      parsing_grok:
        message: '%{SYSLOGTIMESTAMP:date} %{HOSTNAME:host} %{WORD:service}\[%{INT:pid}\]: %{GREEDYDATA:message}'
      event_type_path: "service"
      event_time_path: "date"
      event_time_timezone: "America/New_York"  # Required for SYSLOGTIMESTAMP (no timezone in pattern)
      sensor_hostname_path: "host"
  file_path: "/var/log/messages"

CLI Config:

./lc_adapter file \
  client_options.identity.installation_key=<IID> \
  client_options.identity.oid=<OID> \
  client_options.platform=text \
  client_options.sensor_seed_key=my-adapter \
  "client_options.mapping.parsing_grok.message=%{SYSLOGTIMESTAMP:date} %{HOSTNAME:host} %{WORD:service}\[%{INT:pid}\]: %{GREEDYDATA:message}" \
  client_options.mapping.event_type_path=service \
  client_options.mapping.event_time_path=date \
  client_options.mapping.event_time_timezone=America/New_York \
  client_options.mapping.sensor_hostname_path=host \
  file_path=/var/log/messages

IMPORTANT: The event_time_timezone is REQUIRED when using SYSLOGTIMESTAMP, DATESTAMP, or TIMESTAMP_ISO8601 without explicit timezone info. Without it, LimaCharlie assumes UTC and timestamps will be incorrect.

When outputting CLI config for test-limacharlie-adapter skill, use this format:

--grok '<PATTERN>'
--event-type <PATH>
--event-time <PATH>
--event-time-tz <TIMEZONE>  # Include when timestamp pattern lacks timezone
--hostname-path <PATH>

Example Usage

Example 1: Parse Syslog Logs

User: "Help me parse syslog logs from my Linux server"

Sample log:

Jan 15 12:30:45 server01 sshd[12345]: Accepted publickey for admin from 192.168.1.50 port 54321 ssh2

Generated Grok pattern:

%{SYSLOGTIMESTAMP:date} %{HOSTNAME:host} %{WORD:service}\[%{INT:pid}\]: %{GREEDYDATA:message}

Mapping configuration:

mapping:
  parsing_grok:
    message: '%{SYSLOGTIMESTAMP:date} %{HOSTNAME:host} %{WORD:service}\[%{INT:pid}\]: %{GREEDYDATA:message}'
  event_type_path: "service"
  event_time_path: "date"
  event_time_timezone: "America/New_York"  # Required - SYSLOGTIMESTAMP has no timezone
  sensor_hostname_path: "host"

CLI options for test-limacharlie-adapter:

--grok '%{SYSLOGTIMESTAMP:date} %{HOSTNAME:host} %{WORD:service}\[%{INT:pid}\]: %{GREEDYDATA:message}'
--event-type service
--event-time date
--event-time-tz America/New_York
--hostname-path host

Validation result:

{
  "valid": true,
  "results": [{
    "event": {
      "timestamp": "Jan 15 12:30:45",
      "event_type": "sshd",
      "message": "Accepted publickey for admin from 192.168.1.50 port 54321 ssh2"
    },
    "routing": {
      "hostname": "server01"
    }
  }]
}

Example 2: Parse Firewall Logs

User: "I need to parse these firewall logs and extract the source/destination IPs"

Sample log:

2024-01-15T12:00:00Z ACCEPT TCP 192.168.1.100:54321 10.0.0.5:443 packets=1 bytes=78

Generated Grok pattern:

%{TIMESTAMP_ISO8601:timestamp} %{WORD:action} %{WORD:protocol} %{IP:src_ip}:%{NUMBER:src_port} %{IP:dst_ip}:%{NUMBER:dst_port} packets=%{NUMBER:packets} bytes=%{NUMBER:bytes}

Mapping configuration:

mapping:
  parsing_grok:
    message: '%{TIMESTAMP_ISO8601:timestamp} %{WORD:action} %{WORD:protocol} %{IP:src_ip}:%{NUMBER:src_port} %{IP:dst_ip}:%{NUMBER:dst_port} packets=%{NUMBER:packets} bytes=%{NUMBER:bytes}'
  event_type_path: "action"
  event_time_path: "timestamp"

Validation result:

{
  "valid": true,
  "results": [{
    "event": {
      "timestamp": "2024-01-15T12:00:00Z",
      "event_type": "ACCEPT",
      "protocol": "TCP",
      "src_ip": "192.168.1.100",
      "src_port": "54321",
      "dst_ip": "10.0.0.5",
      "dst_port": "443",
      "packets": "1",
      "bytes": "78"
    }
  }]
}

Example 3: One-off USP Adapter Configuration

User: "I have a local adapter running, just give me the config to parse Apache access logs"

Sample log:

192.168.1.50 - admin [15/Jan/2024:12:30:45 +0000] "GET /api/users HTTP/1.1" 200 1234

Generated configuration (YAML):

file:
  client_options:
    platform: text
    identity:
      installation_key: <YOUR_IID>
      oid: <YOUR_OID>
    sensor_seed_key: apache-logs
    mapping:
      parsing_grok:
        message: '%{COMMONAPACHELOG}'
      event_type_path: "verb"
      event_time_path: "timestamp"
  file_path: "/var/log/apache2/access.log"

Generated configuration (CLI):

./lc_adapter file \
  client_options.identity.installation_key=<YOUR_IID> \
  client_options.identity.oid=<YOUR_OID> \
  client_options.platform=text \
  client_options.sensor_seed_key=apache-logs \
  "client_options.mapping.parsing_grok.message=%{COMMONAPACHELOG}" \
  client_options.mapping.event_type_path=verb \
  client_options.mapping.event_time_path=timestamp \
  file_path=/var/log/apache2/access.log

Additional Notes

Pre-built Grok Patterns

LimaCharlie supports these pre-built patterns for common log formats:

Pattern	Use Case
%{COMMONAPACHELOG}	Apache common log format
%{COMBINEDAPACHELOG}	Apache combined log format
%{NGINXACCESS}	Nginx access logs

Key/Value Parsing (Alternative to Grok)

For logs with key=value format (like CEF), use parsing_re with key-value extraction:

mapping:
  parsing_re: '(?:<\d+>\s*)?(\w+)=(".*?"|\S+)'

This regex captures pairs where:

• Submatch 1 = Key name
• Submatch 2 = Value

Field Path Syntax

Use / as separator for nested JSON navigation:

• a → access field a
• a/b/c → access nested field a.b.c

Event Type Path Templates

The event_type_path supports template strings for dynamic event type assignment based on event content.

Timestamp Timezone Handling

LimaCharlie assumes UTC for timestamps that don't include explicit timezone information.

Formats with explicit timezone (safe):

• ISO 8601 with Z: 2024-01-15T12:30:45Z
• ISO 8601 with offset: 2024-01-15T12:30:45-08:00
• RFC 3339: 2024-01-15T12:30:45.000-08:00

Formats without timezone (assumed UTC):

• Syslog: Jan 15 12:30:45
• Simple datetime: 2024-01-15 12:30:45

Recommendation: Configure log sources to emit UTC timestamps when possible. For syslog on Linux:

• rsyslog: Use $ActionFileDefaultTemplate RSYSLOG_FileFormat in rsyslog.conf
• journald: Timestamps are already in UTC by default

Common Issues

1. Pattern not matching: Ensure special characters are escaped (e.g., \[ for literal brackets)
2. Greedy matching: Use %{DATA} for non-greedy matching, %{GREEDYDATA} only at end of pattern
3. Timestamp not parsing: Verify timestamp format matches the Grok pattern exactly

Common Pitfalls

1. Using stale timestamps: Always calculate epoch timestamps dynamically with Bash before querying get_historic_events. Never use placeholder or hardcoded values - the API will return empty results for timestamps outside the data retention window.

2. Wrong mapping structure: The mapping object should have parsing_grok, event_type_path, and event_time_path at the same level - NOT nested under a parsing key.

3. Wrong Grok field name: For text platform adapters, always use message as the key in parsing_grok, not text.

4. DATESTAMP vs TIMESTAMP_ISO8601:

   • YYYY-MM-DD HH:MM:SS → Use %{TIMESTAMP_ISO8601}
   • MM-DD-YY HH:MM:SS → Use %{DATESTAMP}
   • Jan 15 12:30:45 → Use %{SYSLOGTIMESTAMP}

5. Not recognizing unparsed events: If you see event_type: "unknown_event" with only a text field, that means parsing is not configured - the text field contains the raw log data that needs a Grok pattern.

6. Timezone assumptions for timestamps without timezone info:

   • SYSLOGTIMESTAMP, DATESTAMP, and TIMESTAMP_ISO8601 without Z or offset don't include timezone
   • LimaCharlie assumes UTC for all such timestamps
   • If logs are in local time (e.g., Pacific Time), events will appear 7-8 hours in the future
   • Solution: Configure log source to emit UTC timestamps, or verify with user that times appear correct

Indexing Support

For searchable fields, configure custom indexing:

indexing:
  - events_included: ["*"]
    path: "src_ip"
    index_type: "ip"
  - events_included: ["*"]
    path: "dst_ip"
    index_type: "ip"

Supported index types: file_hash, file_path, file_name, domain, ip, user, service_name, package_name

Related Skills

• detection-engineering: Create D&R rules to detect patterns in parsed logs
• test-limacharlie-adapter: Deploy a test adapter to verify parsing
• lookup-lc-doc: Search LimaCharlie documentation for more parsing details

Reference

For more details on parsing configuration:

• Adapter Usage: ./docs/limacharlie/doc/Sensors/Adapters/adapter-usage.md
• Log Collection Guide: ./docs/limacharlie/doc/Sensors/Reference/logcollectionguide.md