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Palo Alto Panorama · automateyournetwork | DecimalAI

devopsby automateyournetwork

Palo Alto Panorama

automateyournetwork/paloalto-panorama

Source automateyournetwork/netclaw ↗License Apache-2.0

Palo Alto Panorama operations — device groups, templates, security policy search, NAT review, commit status, and audit workflows.

SkillScore86Maintained

Automatic

DevOps & SRE pack

Last verified 8/16/2026

What it changes

Passed 17 of 20 test cases with the skill, and 10 of 20 without it.

Without skill50%

With skill86%

Checks it passed that the model alone missed

Searches Panorama NAT policy rules
Searches Panorama security policy rules
Uses python3 $MCP_CALL as the execution script

and 8 more in the full report

8 fixed11 passed either way3 still failing0 broke

Pass-rate lift: +36 pp
Tokens: -24%
Agent turns: 0%
Response time: -52%

Model gemini-3.6-flashMeasured 8/16/2026v119 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/automateyournetwork-paloalto-panorama/SKILL.md https://app.decimal.ai/s/automateyournetwork-paloalto-panorama/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add automateyournetwork-paloalto-panorama, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/automateyournetwork-paloalto-panorama/ and pins it in .decimal/skills.lock

decimalai skills add automateyournetwork-paloalto-panorama

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/automateyournetwork-paloalto-panorama/SKILL.md https://app.decimal.ai/s/automateyournetwork-paloalto-panorama/SKILL.md

Raw file: /s/automateyournetwork-paloalto-panorama/SKILL.md ↗ · machine-readable summary at /s/automateyournetwork-paloalto-panorama.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

We need to check address objects defined in Panorama. Write out the bash command line syntax required to invoke an MCP tool named list_address_objects passing parameter device_group set to Branch-East using standard environment helper variables.

What was checked, without and with the skill
Checked	Without skill	With skill
Uses python3 $MCP_CALL as the execution script	Missed	Passed
Passes $PANOS_MCP_CMD as the target command argument	Missed	Passed

case-04 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md54 linessingle file

Palo Alto Panorama

MCP Server

Source: iflow-mcp-cdot65-palo-alto-mcp / palo-alto-mcp
Command: $PANOS_MCP_CMD
Transport: stdio
Requires: PANOS_HOSTNAME, PANOS_API_KEY
Preferred use: read-only audit and validation; gate policy writes behind ServiceNow CRs

How to Call the MCP Tools

python3 $MCP_CALL "$PANOS_MCP_CMD" TOOL_NAME '{"param":"value"}'

Typical Tool Coverage

Device groups and managed firewalls
Templates and template stacks
Security policy rule search
NAT policy review
Address objects, services, tags, and zones
Commit queues and recent job status

When to Use

“Can host A reach host B through Palo Alto?”
Policy hygiene reviews and duplicate-rule cleanup
Pre-change dependency analysis on Panorama-managed estates
Commit validation after approved firewall changes

Workflow: Rule Impact Analysis

Resolve the relevant device group and target firewalls.
Search security and NAT policies using source, destination, application, and service.
Review address objects, dynamic tags, and zones tied to the traffic path.
If a policy change is required, create and approve a ServiceNow CR before any write action.
Verify commit status and post-change traffic behavior.

Track record

Benchmark

17 / 20

test cases passed, vs 10 / 20 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

automateyournetwork / netclaw

workspace/skills/paloalto-panorama/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Palo Alto Panorama

MCP Server

How to Call the MCP Tools

Typical Tool Coverage

When to Use

Workflow: Rule Impact Analysis

Track record

Benchmark

Adoption

SkillSafety

Source

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