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ContainerLab Lab Management · automateyournetwork | DecimalAI

devopsby automateyournetwork

ContainerLab Lab Management

automateyournetwork/clab-lab-management

Source automateyournetwork/netclaw ↗License Apache-2.0

ContainerLab network lab lifecycle management — authenticate, list, deploy, inspect, execute commands on, and destroy containerized network labs via the ContainerLab API.

SkillScore64Maintained

Automatic

DevOps & SRE pack

Last verified 8/16/2026

What it changes

Passed 11 of 18 test cases with the skill, and 3 of 18 without it.

Without skill18%

With skill64%

Checks it passed that the model alone missed

Mentions CLAB_API_USERNAME.
Mentions CLAB_API_PASSWORD.
Mentions CLAB_API_SERVER_URL.

and 10 more in the full report

10 fixed4 passed either way8 still failing0 broke

Pass-rate lift: +45 pp
Tokens: +70%
Agent turns: 0%
Response time: -48%

Model gemini-3.6-flashMeasured 8/16/2026v114 of 22 cases passed with skill · 18 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-clab-lab-management/SKILL.md https://app.decimal.ai/s/automateyournetwork-clab-lab-management/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add automateyournetwork-clab-lab-management, 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-clab-lab-management/ and pins it in .decimal/skills.lock

decimalai skills add automateyournetwork-clab-lab-management

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

curl -fsSL --create-dirs -o .claude/skills/automateyournetwork-clab-lab-management/SKILL.md https://app.decimal.ai/s/automateyournetwork-clab-lab-management/SKILL.md

Raw file: /s/automateyournetwork-clab-lab-management/SKILL.md ↗ · machine-readable summary at /s/automateyournetwork-clab-lab-management.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 10

Prompt

I am building a ContainerLab topology JSON file requiring a Cisco Nexus 9000v switch instance. Which specific kind string should be declared in the node definition?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies cisco_nxos as the kind value.	Missed	Passed

case-09 · 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.md156 linessingle file

ContainerLab Lab Management

MCP Server

Command: python3 -u $CLAB_MCP_SCRIPT (stdio transport)
Requires: CLAB_API_SERVER_URL, CLAB_API_USERNAME, CLAB_API_PASSWORD environment variables
Auto-authentication: Every tool call auto-authenticates — no explicit authenticate call needed

How to Call Tools

python3 $MCP_CALL "python3 -u $CLAB_MCP_SCRIPT" <tool_name> '<args_json>'

Available Tools

Tool	Parameters	What It Does
`authenticate`	`apiServerURL`, `username`, `password`	Manual auth override (optional — auto-auth handles normal usage)
`listLabs`	none	List all labs on the ContainerLab server
`deployLab`	`topologyContent` (JSON object), `reconfigure` (bool)	Deploy a new lab topology
`inspectLab`	`labName`, `details` (bool)	Get lab details, node status, management IPs
`execCommand`	`labName`, `command`, `nodeName` (optional)	Execute a command on one or all nodes
`destroyLab`	`labName`, `cleanup` (bool), `graceful` (bool)	Destroy a lab and clean up resources

Workflow: Deploy a New Lab

When a user wants to create a containerized network lab:

List existing labs: listLabs — check what's already running, avoid name conflicts
Deploy topology: deployLab with a topology JSON object
Inspect lab: inspectLab with details: true — verify success, get management IPs
Execute commands: execCommand — run show commands to verify connectivity
Report back: Tell the user the lab is ready with node names and management IPs

Example: 2-Node SR Linux Lab

# List existing labs
python3 $MCP_CALL "python3 -u $CLAB_MCP_SCRIPT" listLabs '{}'

Track record

Benchmark

11 / 18

test cases passed, vs 3 / 18 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/clab-lab-management/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

ContainerLab Lab Management

MCP Server

How to Call Tools

Available Tools

Workflow: Deploy a New Lab

Example: 2-Node SR Linux Lab

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills