devops by automateyournetwork
GNS3 Project Lifecycle automateyournetwork/gns3-project-lifecycle
Manage GNS3 network lab projects - create, open, close, delete, clone, export/import
What it changes View full report → 4 of 22 test cases passed with the skill.
Pass-rate lift —
Tokens -37%
Agent turns 0%
Response time -50% Model gemini-3.6-flashMeasured 8/16/2026 v1 4 of 22 cases passed with skill · 7 comparable
Lift withheld: 7 comparable cases; this report requires 8.
Use this skill Claude Code DecimalAI agent CLI & files
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-gns3-project-lifecycle/SKILL.md https://app.decimal.ai/s/automateyournetwork-gns3-project-lifecycle/SKILL.md Copy command Copy SKILL.md
Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add automateyournetwork-gns3-project-lifecycle, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"
Linked stays up to date: your agents get the author's new versions automatically.
Editable copy is yours to change; the author's updates won't reach it.
Install linked skill Create editable copy
1 · One-time — install the CLI (
docs ↗ )
$ pip install "decimalai>=0.15"Copy
2 · Get the skill — writes .agents/skills/automateyournetwork-gns3-project-lifecycle/ and pins it in .decimal/skills.lock
$ decimalai skills add automateyournetwork-gns3-project-lifecycleCopy
Copy link Copy README badge Copy SKILL.md No CLI? Get the same file — curl · raw file $ curl -fsSL --create-dirs -o .claude/skills/automateyournetwork-gns3-project-lifecycle/SKILL.md https://app.decimal.ai/s/automateyournetwork-gns3-project-lifecycle/SKILL.mdCopy
Safety checks: 3 of 3 passed
Code scan Clean Intent Passed Content Clean
Overview Benchmark Contents Activity Versions 1 Ratings 0
What's inside The instructions your model reads when the skill loads.
SKILL.md 91 lines single file
GNS3 Project Lifecycle
Manage GNS3 network lab projects through natural language commands. Create new labs, open/close existing projects, clone for experimentation, and export/import for sharing.
When to Use
Creating a new GNS3 lab environment for testing or training
Opening or closing existing projects to manage resources
Cloning projects before making experimental changes
Exporting projects to share with colleagues
Importing projects from archives
Listing all available labs on the GNS3 server
Deleting projects that are no longer needed
MCP Server
Command : python3 -u mcp-servers/gns3-mcp-server/gns3_mcp_server.py (stdio transport)Requires : GNS3_URL, GNS3_USER, GNS3_PASSWORD environment variables
Available Tools
Workflow Examples
Create and Manage a Lab
# List existing projects
"List all my GNS3 labs"
Track record Benchmark 4 / 22
test cases passed with the skill
Adoption
Users 0
Times used 0 View activity → Safety and source details
SkillSafety ✓ 3 of 3 passed ✓ Code scan 15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026
View 15 scanner checks live_secret remote_code_execution reverse_shell data_exfiltration ssrf_metadata agent_snooping anti_refusal destructive_commands obfuscated_unicode unicode_homoglyph opaque_blob suspicious_url tool_overreach trigger_abuse prompt_injection_phrasing
✓ Intent Safe
LLM judge · does the skill do what it claims
✓ Content Clean
LLM judge · policy & harmful-content review
Source Imported automateyournetwork / netclaw
workspace/skills/gns3-project-lifecycle/SKILL.md
View on GitHub ↗ License Apache-2.0Imported 8/3/2026Version v1