Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/ciscodevnet/wan-automation-examples/agents-mdgit clone --depth 1 https://github.com/CiscoDevNet/wan-automation-examplesWrote 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/instructions/ciscodevnet/wan-automation-examples/agents-md)<a href="https://agentmods.dev/instructions/ciscodevnet/wan-automation-examples/agents-md"><img src="https://agentmods.dev/badge/instructions/ciscodevnet/wan-automation-examples/agents-md.svg" alt="Measured on agentmods" 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 | $0.01874 | $0.01874 |
| Opus 5 | $0.00937 | $0.00937 |
| Sonnet 5 | $0.00375 | $0.00375 |
| Haiku 4.5 | $0.00187 | $0.00187 |
Grade A, and why
wan-automation-examples AGENTS.md 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 3d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidance for Coding Agents
Purpose and Scope
This repository contains learning and demonstration examples for automating:
- Cisco Catalyst SD-WAN Manager with Python, Bruno, Terraform, and an MCP server.
- Cisco Meraki Dashboard with Python, Bruno, and Terraform.
The examples are not production-supported SDKs or applications. Keep changes
small, readable, safe for lab use, and focused on a practical automation task.
Read the nearest area-specific README.md before modifying an example.
Repository Layout
catalystwan/
├── bruno/ Current Catalyst SD-WAN Bruno collection
├── lab/ Archived Python scripts retained for older Cisco documentation
├── mcp-sdwan/ Podman-based Catalyst SD-WAN MCP server
├── python/ Maintained Catalyst SD-WAN Python examples
└── terraform/ Provider and NetAsCode module examples
meraki/
├── bruno/ Meraki Dashboard Bruno collection
├── python/ Meraki Python examples
└── terraform/ Provider and NetAsCode module examples
scripts/ Contribution helpers
Keep examples with their architecture: Catalyst SD-WAN changes belong under
catalystwan/; Meraki changes belong under meraki/. Bruno collections stay
beside the Python and Terraform examples for the same platform.
Do not add a general documentation tree. Guided Cisco Catalyst SD-WAN lessons, API concepts, and hands-on labs belong in the external Catalyst SD-WAN API Learning Hub. The URL is provisional and may be updated when an official URL is available.
Authoritative Documentation
Use primary documentation and verify current API paths, schemas, and product version compatibility before adding or changing requests:
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.
- 3d ago First seen · 182 lines · 1,874 tokens per session scan A 5239a6b410d5
wan-automation-examples AGENTS.md is an instructions file published in the GitHub repository CiscoDevNet/wan-automation-examples (2 stars, last pushed 21d ago), licensed Apache-2.0. It adds 1,874 tokens to every session, about $0.0094 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.
Other instructions, from other repositories
deepagents AGENTS.md
AGENTS.md instructions for langchain-ai/deepagents, covering global development guidelines for the deep agents monorepo, corridor security analysis, development workflow, suppressing ruff rules and pr conventions.
apm python.instructions.md
Python development guidelines.
Embody AGENTS.md
AGENTS.md instructions for dylanroscover/Embody, covering embody + envoy - ai instructions, critical rules, td python rules, network layout rules and mcp server safety rules.
clawmetry AGENTS.md
AGENTS.md instructions for vivekchand/clawmetry, covering agents.md — for ai coding agents, quick context, where new code goes (open-core split), the rules that bite and common tasks.
windmill AGENTS.md
AGENTS.md instructions for windmill-labs/windmill, covering windmill, workflow, documentation, dev environment and per-worktree ports and database.
lobster0 AGENTS.md
AGENTS.md instructions for NEDONION/lobster0, covering lobster0 agent 工程规范, 适用范围与优先级, 项目事实, 常用命令 and 首次安装或依赖变化后.