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Get Started Free →Monitor Prisma SD-WAN element health, software versions, events, and alarms
.claude/skills/automateyournetwork-prisma-sdwan-status/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | 115% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 1% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 27% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -6% | 0% |
Monitor the health and operational status of your Palo Alto Networks Prisma SD-WAN fabric. Check element CPU/memory, software versions, operational events, and active alarms.
prisma-sdwan-mcp (community MCP from iamdheerajdubey)python3 -u mcp-servers/prisma-sdwan-mcp/src/prisma_sdwan_mcp/server.py (stdio transport)PAN_CLIENT_ID, PAN_CLIENT_SECRET, PAN_TSG_IDPAN_REGION (americas or europe, default: americas)| Tool | Parameters | What It Does | |------|------------|--------------| | get_element_status | element_id? | Get health metrics (CPU, memory, uptime, state) | | get_software_status | element_id? | Check software versions and upgrade availability | | get_events | limit? | List recent operational events (default: 20) | | get_alarms | limit? | List active alarms with severity (default: 20) |
bash# Check all element health "What's the health status of all SD-WAN elements?" # Check specific element "Is hq-router-1 healthy?" # Find high CPU elements "Which ION devices have high CPU usage?" # Check memory utilization "Show me memory usage across all elements"
bash# Check software versions "What software versions are running on my ION devices?" # Find upgrade candidates "Which elements have software upgrades available?" # Check for version consistency "Are all elements running the same software version?"
bash# View recent events "Show me the last 20 SD-WAN events" # Check for state changes "Have any elements gone offline recently?" # Filter by severity "Show me all warning and error events"
bash# List active alarms "Are there any active SD-WAN alarms?" # Check critical alarms "Show me all critical alarms" # Check specific element alarms "What alarms are active on the Headquarters site?"
json{ "element_status": [ { "element_id": "def456", "element_name": "hq-router-1", "state": "online", "cpu_usage": 15.2, "memory_usage": 42.8, "uptime_seconds": 864000, "last_seen": "2026-04-03T12:00:00Z" } ] }
json{ "alarms": [ { "id": "alm456", "severity": "critical", "type": "interface_down", "message": "WAN interface 1 is down on hq-router-1", "timestamp": "2026-04-03T10:30:00Z", "acknowledged": false } ], "total_count": 3 }
| Error Code | Meaning | Resolution | |------------|---------|------------| | AUTH_FAILED | OAuth2 authentication failed | Verify PAN_CLIENT_ID, PAN_CLIENT_SECRET, PAN_TSG_ID | | NOT_FOUND | Element not found | Check element_id via prisma-sdwan-topology | | RATE_LIMITED | API rate limit exceeded | Wait and retry; reduce request frequency |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | fail→fail | 9,612 | 13,325 | +39% | 1 | 1 | 0% | 1,720 | 3,487 | +103% | 0 | 0 | — |
case-01 | fail→fail | 9,007 | 2,885 | -68% | 1 | 1 | 0% | 1,798 | 1,254 | -30% | 0 | 0 | — |
case-02 | fail→fail | 9,171 | 3,354 | -63% | 1 | 1 | 0% | 1,802 | 1,289 | -28% | 0 | 0 | — |
case-03 | fail→fail | 8,998 | 1,382 | -85% | 1 | 1 | 0% | 1,423 | 1,284 | -10% | 0 | 0 | — |
case-04 | pass→pass | 8,177 | 4,006 | -51% | 1 | 1 | 0% | 1,185 | 1,722 | +45% | 0 | 0 | — |
case-05 | fail→pass | 5,141 | 4,502 | -12% | 1 | 1 | 0% | 837 | 1,798 | +115% | 0 | 0 | — |
case-07 | fail→pass | 10,287 | 4,016 | -61% | 1 | 1 | 0% | 1,655 | 1,815 | +10% | 0 | 0 | — |
case-08 | fail→pass | 6,734 | 1,201 | -82% | 1 | 1 | 0% | 1,184 | 1,201 | +1% | 0 | 0 | — |
case-09 | fail→pass | 6,477 | 1,234 | -81% | 1 | 1 | 0% | 969 | 1,229 | +27% | 0 | 0 | — |
case-10 | pass→pass | 9,627 | 3,546 | -63% | 1 | 1 | 0% | 1,842 | 1,712 | -7% | 0 | 0 | — |
case-11 | fail→pass | 8,172 | 2,471 | -70% | 1 | 1 | 0% | 1,513 | 1,417 | -6% | 0 | 0 | — |
case-12 | pass→pass | 9,573 | 3,762 | -61% | 1 | 1 | 0% | 1,423 | 1,565 | +10% | 0 | 0 | — |
case-13 | fail→pass | 5,585 | 1,902 | -66% | 1 | 1 | 0% | 997 | 1,293 | +30% | 0 | 0 | — |
case-14 | pass→pass | 4,925 | 1,558 | -68% | 1 | 1 | 0% | 763 | 1,238 | +62% | 0 | 0 | — |
case-15 | pass→pass | 6,206 | 3,340 | -46% | 1 | 1 | 0% | 1,132 | 1,294 | +14% | 0 | 0 | — |
case-16 | fail→pass | 10,567 | 2,388 | -77% | 1 | 1 | 0% | 1,878 | 1,440 | -23% | 0 | 0 | — |
case-17 | fail→pass | 8,938 | 2,508 | -72% | 1 | 1 | 0% | 1,600 | 1,483 | -7% | 0 | 0 | — |
case-18 | fail→pass | 10,767 | 2,079 | -81% | 1 | 1 | 0% | 1,871 | 1,400 | -25% | 0 | 0 | — |
case-19 | pass→pass | 9,229 | 1,373 | -85% | 1 | 1 | 0% | 1,558 | 1,257 | -19% | 0 | 0 | — |
case-20 | fail→pass | 7,122 | 1,700 | -76% | 1 | 1 | 0% | 1,169 | 1,302 | +11% | 0 | 0 | — |
case-21 | fail→pass | 11,068 | 5,006 | -55% | 1 | 1 | 0% | 1,989 | 1,948 | -2% | 0 | 0 | — |
case-22 | fail→pass | 10,220 | 1,945 | -81% | 1 | 1 | 0% | 1,532 | 1,334 | -13% | 0 | 0 | — |
case-23 | fail→pass | 10,268 | 3,299 | -68% | 1 | 1 | 0% | 1,732 | 1,630 | -6% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 21 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +57 percentage points is the difference between those two pass rates over the 21 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.