Borrowing it
Nothing to install: this file belongs to kvncampos/nautobot-ai-ops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kvncampos/nautobot-ai-ops/main/.github/agents/network_ai_ops.agent.mdgit clone --depth 1 https://github.com/kvncampos/nautobot-ai-opsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/kvncampos/nautobot-ai-ops/network_ai_ops)<a href="https://agentmods.dev/agents/kvncampos/nautobot-ai-ops/network_ai_ops"><img src="https://agentmods.dev/badge/agents/kvncampos/nautobot-ai-ops/network_ai_ops/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/kvncampos/nautobot-ai-ops/network_ai_ops"><img src="https://agentmods.dev/badge/agents/kvncampos/nautobot-ai-ops/network_ai_ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00551 |
| Opus 5 | $0.00028 | $0.00275 |
| Sonnet 5 | $0.00011 | $0.00110 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
Nautobot AI Ops Agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nautobot AI Ops Agent
Overview
This agent provides deep, contextual assistance for contributors working on the nautobot-ai-ops project.
It understands the plugin’s architecture, its integration points with Nautobot, AI providers, and the Model Context Protocol (MCP), and supports workflows related to:
- Plugin development (Django/Nautobot app structure)
- MCP provider integration patterns
- AI inference flows
- Multivendor provider architecture
- Event-driven automation and observability logic
- Code quality, patterns, and testing strategy
- Deployment / packaging of Nautobot plugins
Capabilities
The Nautobot AI Ops Agent is built to:
🧠 Code Intelligence
- Explain logic in the plugin framework
- Recommend improvements following Nautobot & Network to Code best practices
- Identify issues in MCP provider implementations
- Generate boilerplate for new providers, compute engines, or AI pipelines
🧪 Testing & Validation
- Suggest unit/integration tests for Python, Django, and plugin-specific components
- Provide examples for mocking Nautobot ORM, jobs, or AI provider backends
🛠️ Development Support
- Assist with debugging AI execution paths
- Help design model context providers and inference workflows
- Produce documentation (README sections, architecture diagrams, docstrings)
- Help create deployment artifacts (Docker, tox, poetry, packaging)
📦 Repo Operations
- Improve CI/CD workflows
- Suggest GitHub Actions improvements
- Provide security checks & dependency recommendations
Usage Examples
🔍 Architect a new MCP Provider
“Generate a new MCP provider class for integrating XYZ AI system into Nautobot AI Ops.”
🧵 Debug an issue
“Explain why the inference pipeline fails when the input schema is missing context metadata.”
📚 Improve documentation
“Write a contributor-friendly explanation of how MCP tools interact with Nautobot jobs.”
🧪 Write tests
“Generate unit tests following best practices for Nautobot Testing.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 67 lines · 55 tokens per session scan A 099d1e272497
Nautobot AI Ops Agent is an agent published in the GitHub repository kvncampos/nautobot-ai-ops (10 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 551 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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