network-simulation
Skill for network condition simulation, emulation, and chaos engineering
Best use case
network-simulation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Skill for network condition simulation, emulation, and chaos engineering
Teams using network-simulation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/network-simulation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How network-simulation Compares
| Feature / Agent | network-simulation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Skill for network condition simulation, emulation, and chaos engineering
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Network Simulation Skill Expert skill for network condition simulation, emulation, and chaos engineering testing environments. ## Capabilities - **Traffic Control**: Configure tc (traffic control) for latency, bandwidth, and packet loss simulation - **Network Namespaces**: Set up network namespaces for network isolation testing - **WAN Emulation**: Emulate WAN conditions with netem (delay, jitter, loss, corruption) - **Virtual Topologies**: Create virtual network topologies for testing - **Packet Manipulation**: Simulate packet loss, reordering, duplication, and corruption - **Degraded Conditions Testing**: Test applications under degraded network conditions - **Chaos Scenarios**: Generate chaos engineering scenarios for resilience testing - **Container Networking**: Configure Docker/Kubernetes network simulation ## Tools and Dependencies - `tc` - Traffic control for Linux - `netem` - Network emulator - `ip netns` - Network namespaces - `mininet` - Network emulator - `toxiproxy` - TCP proxy for chaos testing - `comcast` - Network simulation tool - `pumba` - Container chaos testing ## Target Processes - network-testing-framework.js - load-testing-tool.js - protocol-fuzzer.js - tcp-socket-server.js ## Usage Examples ### Latency Simulation ```bash tc qdisc add dev eth0 root netem delay 100ms 20ms distribution normal tc qdisc change dev eth0 root netem delay 200ms 40ms 25% correlation ``` ### Packet Loss Simulation ```bash tc qdisc add dev eth0 root netem loss 5% 25% tc qdisc add dev eth0 root netem loss gemodel 1% 10% 70% 0.1% ``` ### Bandwidth Limiting ```bash tc qdisc add dev eth0 root tbf rate 1mbit burst 32kbit latency 400ms ``` ### Network Namespace Isolation ```bash ip netns add test_ns ip link add veth0 type veth peer name veth1 ip link set veth1 netns test_ns ip netns exec test_ns ip addr add 10.0.0.2/24 dev veth1 ip netns exec test_ns ip link set veth1 up ``` ### Toxiproxy Chaos ```bash toxiproxy-cli create -l localhost:6379 -u localhost:6380 redis_proxy toxiproxy-cli toxic add -t latency -a latency=1000 redis_proxy ``` ## Quality Gates - Network conditions applied correctly - Application behavior under degraded conditions verified - Chaos scenarios executed successfully - Recovery testing completed - Performance baselines established
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