name: log-analysis description: Analyze, filter, transform, and convert log files using Kelora. Use for parsing logs, extracting patterns, investigating incidents, calculating metrics, or converting formats. metadata: version: "1.0"
Log Analysis with Kelora
Kelora is a streaming log processor with Rhai scripting. It auto-detects formats and provides 150+ built-in functions.
Getting Help
Run these for detailed reference (prefer over asking the user):
-
kelora --help-examples- Common patterns -
kelora --help-functions- All 150+ functions -
kelora --help- Full CLI reference -
kelora --help-rhai- Scripting guide
Core Patterns
Filter logs:
kelora -l ERROR,WARN app.log # By level
kelora --filter 'e.status >= 500' api.log # By expression
kelora --since "1 hour ago" app.log # By time
Transform:
kelora -e 'e.duration_sec = e.duration_ms / 1000' api.log
kelora -e 'e.absorb_json("data")' events.log # Parse embedded JSON
Convert formats:
kelora -f combined -J access.log > access.jsonl # Apache to JSON
kelora -j -F logfmt events.jsonl # JSON to logfmt
kelora -f syslog -F csv syslog.log # Syslog to CSV
Metrics:
kelora -s app.log # Summary stats
kelora -q --metrics -e 'track_count("by:" + e.level)' app.log
Pattern discovery:
kelora --drain app.log # Find message templates
Context around matches:
kelora -C 5 --filter 'e.level == "ERROR"' app.log # 5 lines before/after
Field Access
e.level // Direct
e["@timestamp"] // Special chars
e.get_path("a.b.c") // Safe nested (returns () if missing)
e.has("field") // Check exists
Key Options
| Option | Purpose |
|---|---|
-f <fmt> |
Input format (auto/json/logfmt/syslog/combined/csv/regex:...) |
-F <fmt> |
Output format (json/logfmt/csv) |
-j / -J |
Shorthand for -f json / -F json |
--filter |
Boolean expression filter |
-e |
Rhai script per event |
-l / -L |
Include/exclude log levels |
-k / -K |
Include/exclude fields |
-n |
Limit output events |
--head |
Limit input lines (faster) |
-q |
Suppress events (metrics only) |
-s / -m |
Show stats/metrics |
--drain |
Discover message patterns |
-C / -B / -A |
Context lines around matches |
Tips
- Use
-f auto(default) - Kelora detects JSON, logfmt, syslog, combined, CSV - Preview with
-n 10or--head 100before processing large files - Use
-qwith--metricswhen you only need aggregates - Run
kelora --help-functionsto find the right function for your task
chat Comments (0)
Sign in to join the discussion and leave a comment.
Skill Details
GitHub Stars
5
GitHub Forks
2
Created
Jan 2026
Last Updated
4个月前
tools
tools productivity tools
Related Skills
Build your own?
Join 12,000+ developers contributing to the Claude ecosystem.
No comments yet. Be the first to share your thoughts!