A forensic-grade skill for reconstructing network event timelines and detecting anomalies using raw syslog data and standard Unix utilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install network-log-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install network-log-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Network Log Analysis?
This skill provides a comprehensive framework for device-level network log analysis without the need for expensive SIEM platforms. It guides users through the process of extracting, normalizing, and correlating raw syslog data from rsyslog or syslog-ng collectors, as well as device console logs and SNMP traps.
By leveraging the Openclaw Skills methodology, engineers can transform unstructured log data from vendors like Cisco, Juniper, and Arista into structured forensic evidence. It is designed for high-stakes environments where accurate root cause analysis and timeline reconstruction are critical for maintaining network integrity and security.
Network Log Analysis Use Cases
- Investigating network outages and performance degradations when no SIEM platform is available.
- Auditing syslog infrastructure to ensure all network devices are correctly forwarding logs to collectors.
- Performing multi-device event correlation to see how protocol failures propagate across the network.
- Identifying security anomalies such as authentication brute-force attempts and unauthorized configuration changes.
- Constructing a definitive chronological evidence chain for post-incident reviews and regulatory compliance.
How Network Log Analysis Works
- Conduct a log collection assessment to verify the health of the rsyslog/syslog-ng infrastructure and device forwarding status.
- Apply vendor-specific pattern recognition to parse raw messages into facilities, severities, and mnemonics.
- Execute event correlation by merging log streams and identifying causal chains (e.g., interface flaps leading to BGP withdrawals).
- Perform anomaly detection by comparing current log volumes and message types against established 7-day baselines.
- Reconstruct the timeline by normalizing timestamps to UTC and applying NTP-aware clock drift corrections.
- Generate a professional analysis report that maps specific log events to user-visible impacts and root causes.
Network Log Analysis Setup
To begin using this skill from the Openclaw Skills library, ensure your environment has standard Unix processing tools available:
# Verify required utilities
which grep awk sort sed wc date
# Check syslog collector listener status
ss -ulnp | grep 514
# Verify access to raw log directories
ls -lah /var/log/network.log
Network Log Analysis Data Schema & Taxonomy
The skill organizes forensic data into a structured taxonomy for cross-vendor compatibility:
| Attribute | Description | Source |
|---|---|---|
| Timestamp | Normalized UTC or Epoch seconds | RFC 3164 / ISO 8601 |
| Hostname | The originating network device identifier | Syslog Header |
| Facility | The subsystem generating the log (e.g., OSPF, SEC) | Vendor Mnemonic |
| Severity | RFC 5424 Level (0-Emergency to 7-Debug) | Syslog Priority |
| Mnemonic | The specific event code (e.g., LINK-3-UPDOWN) | Message Body |
| Impact | Annotated user-visible effect of the event | Correlation Step |
Network Log Analysis Advanced Features
- Support for multi-vendor syslog formats including Cisco IOS-XE, Juniper JunOS, and Arista EOS.
- NTP-aware timestamp normalization to correct for clock drift during multi-device investigations.
- Automated anomaly detection thresholds for message volume, unique mnemonics, and authentication failures.
- High-performance analysis strategies for multi-gigabyte log files using optimized grep and awk routines.
- Forensic reporting templates that integrate seamlessly with the broader Openclaw Skills ecosystem.
SKILL.md
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