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F5 Config Mgmt

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automateyournetwork
f5-config-mgmt

F5 BIG-IP configuration management - safe change workflow with baseline capture, planning, creation/update/deletion of virtual servers, pools, iRules, and profiles with full verification. Use when creating or modifying F5 virtual servers, adding pool members, deploying iRules, performing blue-green traffic shifts, or rolling back a BIG-IP change.

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill namef5-config-mgmt
Stars
680
Forks
189
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the F5 Config Mgmt AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/f5-config-mgmt
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/f5-config-mgmt .claude/skills/f5-config-mgmt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable F5 Config Mgmt in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads F5 Config Mgmt on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so F5 Config Mgmt is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

F5 BIG-IP Configuration Management

Golden Rule

NEVER apply configuration without first capturing a baseline. If the change goes wrong, you need to know what to restore.

How to Call the Tools

The F5 MCP server provides 6 tools. Call them via mcp-call with the required environment variables:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" <tool_name> '{"param":"value"}'

Available Tools

ToolPurposeHTTP MethodKey Arguments
list_toolList F5 objectsGETobject_name, object_type
show_stats_toolShow object statisticsGETobject_name, object_type
show_logs_toolShow system logsGETlines_number
create_toolCreate objectsPOSTurl_body, object_type
update_toolUpdate objectsPATCHurl_body, object_type, object_name
delete_toolDelete objectsDELETEobject_type, object_name

Object types: virtual, pool, irule, profile

Change Workflow

Phase 1: Pre-Change Baseline

Capture the current state of everything the change might affect. This is the rollback reference.

1A: Capture Virtual Server State
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"virtual"}'

Store the full list of virtual servers, their configurations, pool assignments, and profiles.

1B: Capture Pool State
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"pool"}'

Store pool configurations, member lists, monitor assignments, and load balancing methods.

1C: Capture Statistics Baseline

For each affected object, capture current stats to compare post-change:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"my_virtual_server","object_type":"virtual"}'
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"my_pool","object_type":"pool"}'
1D: Capture Log Baseline

Record the last 50 lines of logs to establish a timestamp reference:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"50"}'

Note the most recent log timestamp -- any errors after this timestamp are change-related.

1E: Capture iRule and Profile State (if affected)
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"irule"}'
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"profile"}'

Phase 2: Plan the Change

Before applying any configuration, explicitly state:

  1. What objects will be created, updated, or deleted
  2. Why the change is needed (business justification)
  3. Expected effect on traffic flow and application delivery
  4. Risk assessment -- what could go wrong
  5. Verification criteria -- how to confirm success
  6. Rollback plan -- exact steps to undo the change

Phase 3: Apply Configuration

Creating Objects

Use create_tool to create new objects via POST. The url_body dict contains the iControl REST API body.

Example: Create a Pool with Members
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"pool_webapp","monitor":"http","loadBalancingMode":"round-robin","members":["10.1.1.10:80","10.1.1.11:80","10.1.1.12:80"]},"object_type":"pool"}'

Pool creation best practices:

  • Always assign a health monitor (http, https, tcp, icmp, or a custom monitor)
  • Choose the appropriate load balancing method:
    • round-robin -- default, equal distribution
    • least-connections-member -- best for unequal server capacity or variable request duration
    • ratio-member -- weighted distribution for heterogeneous backends
    • fastest-node -- route to fastest responding server
  • Specify the serviceDownAction for graceful failure handling:
    • none -- connections persist on down member until timeout
    • reset -- RST sent to clients
    • reselect -- reselect a new member (recommended for HTTP)
    • drop -- silently drop connections
  • Set minActiveMembers to trigger action when too many members fail
  • Include description for documentation
Example: Create a Pool with Advanced Options
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"pool_api_backend","monitor":"https_443","loadBalancingMode":"least-connections-member","minActiveMembers":2,"serviceDownAction":"reselect","slowRampTime":300,"description":"API backend pool - managed by NetClaw","members":["10.2.1.20:443","10.2.1.21:443","10.2.1.22:443","10.2.1.23:443"]},"object_type":"pool"}'
Example: Create a Virtual Server
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"vs_webapp_https","destination":"10.100.1.50:443","ipProtocol":"tcp","pool":"pool_webapp","sourceAddressTranslation":{"type":"automap"},"profiles":[{"name":"clientssl"},{"name":"http"},{"name":"tcp-wan-optimized","context":"clientside"},{"name":"tcp-lan-optimized","context":"serverside"}],"description":"HTTPS virtual server for webapp - managed by NetClaw"},"object_type":"virtual"}'

Virtual server creation best practices:

  • Always specify destination as VIP_IP:port
  • Always assign sourceAddressTranslation (automap or SNAT pool) unless servers have BIG-IP as default gateway
  • Assign appropriate profiles:
    • Client SSL profile for HTTPS termination
    • HTTP profile for HTTP inspection, compression, X-Forwarded-For
    • TCP profiles: tcp-wan-optimized on clientside, tcp-lan-optimized on serverside
    • Persistence profile if session affinity is required
  • Set pool to the backend pool name
  • Include description for documentation
  • Consider connectionLimit to protect backend servers
Example: Create an HTTP Virtual Server (Non-SSL)
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"vs_webapp_http","destination":"10.100.1.50:80","ipProtocol":"tcp","pool":"pool_webapp","sourceAddressTranslation":{"type":"automap"},"profiles":[{"name":"http"},{"name":"tcp-wan-optimized","context":"clientside"},{"name":"tcp-lan-optimized","context":"serverside"}],"description":"HTTP virtual server for webapp - managed by NetClaw"},"object_type":"virtual"}'
Example: Create an HTTP-to-HTTPS Redirect Virtual Server
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"vs_webapp_redirect","destination":"10.100.1.50:80","ipProtocol":"tcp","profiles":[{"name":"http"}],"rules":["/Common/redirect_to_https"],"description":"HTTP-to-HTTPS redirect - managed by NetClaw"},"object_type":"virtual"}'
Example: Create an iRule
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"redirect_to_https","apiAnonymous":"when HTTP_REQUEST {\n  HTTP::redirect https://[HTTP::host][HTTP::uri]\n}"},"object_type":"irule"}'

iRule creation best practices:

  • Keep iRules as simple as possible -- complexity degrades performance
  • Avoid log statements in production iRules on high-traffic virtual servers
  • Always pair HTTP::collect with HTTP::release to prevent memory leaks
  • Use catch blocks for error handling in complex iRules
  • Test iRule syntax before deploying (syntax errors can prevent virtual server from starting)
Example: HTTP Header Insertion iRule
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"insert_headers","apiAnonymous":"when HTTP_REQUEST {\n  HTTP::header insert X-Forwarded-Proto https\n  HTTP::header insert X-Real-IP [IP::client_addr]\n}\nwhen HTTP_RESPONSE {\n  HTTP::header insert Strict-Transport-Security \"max-age=31536000; includeSubDomains\"\n}"},"object_type":"irule"}'
Example: Maintenance Page iRule
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"maintenance_page","apiAnonymous":"when HTTP_REQUEST {\n  HTTP::respond 503 content \"<html><body><h1>Service Temporarily Unavailable</h1><p>We are performing scheduled maintenance. Please try again later.</p></body></html>\" Content-Type \"text/html\"\n}"},"object_type":"irule"}'
Example: URI-Based Pool Selection iRule
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"uri_routing","apiAnonymous":"when HTTP_REQUEST {\n  switch -glob [string tolower [HTTP::uri]] {\n    \"/api/*\" { pool pool_api_backend }\n    \"/static/*\" { pool pool_static_content }\n    default { pool pool_webapp }\n  }\n}"},"object_type":"irule"}'
Updating Objects

Use update_tool to modify existing objects via PATCH. Only include the fields you want to change.

Example: Update Pool Members (Add a Member)
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"members":["10.1.1.10:80","10.1.1.11:80","10.1.1.12:80","10.1.1.13:80"]},"object_type":"pool","object_name":"pool_webapp"}'

WARNING: The members list in an update is a full replacement, not an append. Always include ALL desired members (existing + new) in the list. Omitting existing members will remove them.

Example: Update Pool Load Balancing Method
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"loadBalancingMode":"least-connections-member"},"object_type":"pool","object_name":"pool_webapp"}'
Example: Update Pool Monitor
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"monitor":"https_443"},"object_type":"pool","object_name":"pool_api_backend"}'
Example: Update Virtual Server Pool Assignment
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"pool":"pool_webapp_v2"},"object_type":"virtual","object_name":"vs_webapp_https"}'
Example: Add iRule to Virtual Server
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"rules":["/Common/redirect_to_https","/Common/insert_headers"]},"object_type":"virtual","object_name":"vs_webapp_https"}'

WARNING: The rules list in an update is a full replacement. Include ALL desired iRules in the list.

Example: Disable a Virtual Server (Maintenance)
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"enabled":false},"object_type":"virtual","object_name":"vs_webapp_https"}'
Example: Re-enable a Virtual Server
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"enabled":true},"object_type":"virtual","object_name":"vs_webapp_https"}'
Deleting Objects

Use delete_tool to remove objects. Always verify no dependencies exist before deletion.

Example: Delete a Pool
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" delete_tool '{"object_type":"pool","object_name":"pool_old_webapp"}'

CRITICAL: You cannot delete a pool that is still assigned to a virtual server. Remove the pool reference from the virtual server first, or reassign to a different pool.

Example: Delete a Virtual Server
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" delete_tool '{"object_type":"virtual","object_name":"vs_old_webapp"}'
Example: Delete an iRule
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" delete_tool '{"object_type":"irule","object_name":"old_redirect_rule"}'

CRITICAL: You cannot delete an iRule that is still assigned to a virtual server. Remove the iRule reference from the virtual server first.

Deletion Order (Dependencies)

When decommissioning a full application stack, delete in this order:

  1. Remove iRule references from virtual servers (update)
  2. Delete virtual servers
  3. Delete pools
  4. Delete orphaned iRules
  5. Delete orphaned profiles

Reversing this order will cause dependency errors.

Traffic Shifting / Blue-Green Deployment

A common F5 change pattern is shifting traffic between pool versions for deployments.

Step 1: Create the New Pool (Green)
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" create_tool '{"url_body":{"name":"pool_webapp_v2","monitor":"http","loadBalancingMode":"round-robin","members":["10.1.2.10:80","10.1.2.11:80","10.1.2.12:80"],"description":"Webapp v2.0 pool - blue/green deployment"},"object_type":"pool"}'
Step 2: Verify New Pool Health
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"pool_webapp_v2","object_type":"pool"}'

Confirm all members are available and passing health checks before shifting traffic.

Step 3: Shift Virtual Server to New Pool
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"pool":"pool_webapp_v2"},"object_type":"virtual","object_name":"vs_webapp_https"}'
Step 4: Monitor Post-Shift
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"pool_webapp_v2","object_type":"pool"}'
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"100"}'

Verify traffic is flowing to the new pool, no errors in logs, and response times are acceptable.

Step 5: Rollback (If Needed)

If the new pool is unhealthy, immediately revert to the old pool:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"pool":"pool_webapp"},"object_type":"virtual","object_name":"vs_webapp_https"}'
Step 6: Cleanup Old Pool (After Burn-In)

Once the new pool is verified stable (after appropriate burn-in period), remove the old pool:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" delete_tool '{"object_type":"pool","object_name":"pool_webapp"}'

Phase 4: Post-Change Verification

Immediately after applying configuration, verify the change.

4A: Verify Object Was Created/Updated
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"pool_webapp","object_type":"pool"}'

Compare with the pre-change baseline to confirm only intended changes were made.

4B: Verify Object Health
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"pool_webapp","object_type":"pool"}'

Confirm:

  • Pool members are marked available (passing health checks)
  • Virtual server is available and accepting connections
  • Statistics are incrementing (traffic is flowing)
4C: Check for Errors in Logs
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"100"}'

Look for new error messages that appeared after the Phase 1D baseline timestamp.

4D: Verify Dependent Objects

If you changed a pool, verify the virtual servers that reference it are still healthy:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'

Phase 5: Rollback (If Verification Fails)

If verification fails, roll back by restoring the baseline state.

For created objects: Delete the newly created object.

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" delete_tool '{"object_type":"pool","object_name":"pool_webapp_v2"}'

For updated objects: Patch the object with the original values from the baseline.

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"pool":"pool_webapp"},"object_type":"virtual","object_name":"vs_webapp_https"}'

For deleted objects: Recreate the object using the baseline configuration.

After rollback, re-verify that the BIG-IP returned to its baseline state.

Change Documentation

After every change, produce a change report:

F5 Change Report -- YYYY-MM-DD HH:MM UTC
Device: $F5_IP_ADDRESS
Requestor: [who requested the change]

Change Description:
  Created pool_webapp with 3 members for new web application

Objects Modified:
  [CREATED] pool_webapp (pool) -- 3 members, round-robin, HTTP monitor
  [CREATED] vs_webapp_https (virtual) -- 10.100.1.50:443, SSL offload, automap

Pre-Change State:
  - Virtual servers: 4 active
  - Pools: 3 active
  - No errors in logs

Post-Change State:
  - Virtual servers: 5 active (+1 vs_webapp_https)
  - Pools: 4 active (+1 pool_webapp)
  - pool_webapp: 3/3 members available
  - vs_webapp_https: available, accepting connections
  - New log entries: pool_webapp member 10.1.1.10:80 monitor status up (expected)

Verification: PASSED
Rollback Required: No

ServiceNow Change Request Integration

When ServiceNow is available ($SERVICENOW_MCP_SCRIPT is set), every F5 configuration change MUST be gated by an approved Change Request.

Pre-Change: Create CR

bash
python3 $MCP_CALL "python3 -u $SERVICENOW_MCP_SCRIPT" create_change_request '{"short_description":"Create pool_webapp and vs_webapp_https on F5 BIG-IP","description":"Create new pool with 3 web server members (10.1.1.10-12:80) and HTTPS virtual server (10.100.1.50:443) with SSL offload. Health monitor: HTTP. Load balancing: round-robin. Rollback: delete vs_webapp_https then pool_webapp.","category":"Network","priority":"3","risk":"moderate","impact":"3"}'

Approval Gate

bash
python3 $MCP_CALL "python3 -u $SERVICENOW_MCP_SCRIPT" get_change_request_details '{"change_id":"CHG0012345"}'

STOP if state is not approved. Inform the human and wait.

Post-Change: Close CR

If verification passes:

bash
python3 $MCP_CALL "python3 -u $SERVICENOW_MCP_SCRIPT" update_change_request '{"change_id":"CHG0012345","work_notes":"Change applied and verified. pool_webapp 3/3 members available, vs_webapp_https accepting connections, no errors in logs.","state":"closed"}'

If verification fails:

bash
python3 $MCP_CALL "python3 -u $SERVICENOW_MCP_SCRIPT" update_change_request '{"change_id":"CHG0012345","work_notes":"Post-change verification FAILED. Rollback initiated. Objects removed. Human review required.","state":"review"}'

Integration with Other Skills

SkillIntegration Point
f5-health-checkPre-change health validation and post-change verification
f5-troubleshootInvestigate failures during verification phase
servicenow-change-workflowCR creation, approval gate, closure
drawio-diagramGenerate before/after topology diagrams
markmap-vizVisualize change plan as a mind map
gait-session-trackingAudit trail for every phase

GAIT Audit Trail

Record every phase of the change in GAIT:

bash
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_record_turn '{"artifacts":["f5-change-report.txt"],"user_text":"F5 config change: Create pool_webapp and vs_webapp_https","assistant_text":"Phase 1 baseline captured (4 virtuals, 3 pools, no errors). Phase 2 plan approved. Phase 3 applied: created pool_webapp (3 members, HTTP monitor, round-robin) and vs_webapp_https (10.100.1.50:443, SSL offload, automap). Phase 4 verification PASSED: all members available, VIP accepting connections, no log errors. ServiceNow CR CHG0012345 closed successful."}'

The 5-phase workflow with GAIT creates an immutable record:

  1. Baseline -- GAIT commit with pre-change object state
  2. Plan -- GAIT commit with change plan and CR number
  3. Apply -- GAIT commit with exact API calls made
  4. Verify -- GAIT commit with post-change state and diff
  5. Document -- GAIT commit with final summary and CR closure

Audit examples are illustrative. Replace their request and outcomes with observed session evidence; inspect MCP isError, returned ok and recorded GAIT text.

Frequently asked questions

What does the F5 Config Mgmt AI skill do?

F5 BIG-IP configuration management - safe change workflow with baseline capture, planning, creation/update/deletion of virtual servers, pools, iRules, and profiles with full verification. Use when creating or modifying F5 virtual servers, adding pool members, deploying iRules, performing blue-green traffic shifts, or rolling back a BIG-IP change.

Why use F5 Config Mgmt on TypingMind?

Because you install it once and use it with any model. F5 Config Mgmt is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install F5 Config Mgmt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/f5-config-mgmt. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use F5 Config Mgmt?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with F5 Config Mgmt?

As many as you like. As long as a model supports skills, you can use F5 Config Mgmt with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the F5 Config Mgmt AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Use proactively for structured or interactive Slack replies, and when asked to author or validate native Slack Block Kit JSON.

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Search ClawHub for skills when a requested capability is not already available; install, verify, update, uninstall, publish, or sync skills.

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