ReddRadar
Agent skill
splunk-analyzer
Automate Splunk queries and analyze results using Chrome DevTools MCP. Use when the user wants to run Splunk searches, export log data, or analyze Splunk results. Triggers on requests like "check error rates", "search Splunk for X", "run a Splunk query", "analyze logs from Splunk", or "find errors in payment-service".
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/unknown-majiayu000-claude-skill-registr-18
SKILL.md
Splunk Analyzer
Automate Splunk searches via browser and analyze exported results.
Configuration
SPLUNK_URL: https://your-splunk-instance.com
Workflow
1. Navigate to Splunk
Navigate to: {SPLUNK_URL}/en-US/app/search/search
If login page appears, inform user: "Please authenticate in the browser. Let me know when you're logged in."
2. Build SPL Query
Convert natural language to SPL. See references/spl-patterns.md for patterns.
Query structure:
index=<index> sourcetype=<sourcetype> <filters> | <transformations>
If user provides raw SPL, use it directly.
3. Execute Search
See references/splunk-ui.md for UI selectors.
- Find search bar (textarea with
data-test="search-bar"or classace_text-input) - Clear existing text, enter SPL query
- Click search button (button with
data-test="search-button"or "Search" text) - Wait for results (watch for "X events" or results table)
4. Export Results
- Click "Export" button above results
- Select "Raw" format
- Set filename, click "Export"
- Wait for download to complete
5. Analyze Results
Run analysis script on exported file:
python3 scripts/analyze_splunk.py <exported_file> [--charts]
Analysis includes:
- Event count and time range
- Top error patterns / log levels
- Field value distributions
- Anomaly detection (spikes, unusual values)
- Trend visualization (with
--charts)
Quick Reference
| User Request | Action |
|---|---|
| "Check errors in service X" | index=* "error" source="*X*" | stats count by message |
| "Show me logs from last hour" | index=* earliest=-1h |
| "Find slow requests" | index=* duration>1000 | stats avg(duration) by endpoint |
| "Summarize today's exceptions" | Run query + full analysis with charts |
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