simpy-discrete-event-simulation SKILL.md skillA
simpy-discrete-event-simulation from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/simpy-discrete-event-simulation@git:20260428.81ea2d2Pins git:20260428.81ea2d2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/scientific-computing/simpy-discrete-event-simulation/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260428.81ea2d2, committed Apr 28, 2026
- First version recorded
- Feb 18, 2026
- Size
- 21,611 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Process-based discrete-event simulation. Model queues, shared resources, timed events: manufacturing, service ops, network traffic, logistics. Processes are Python generators yielding events. Resources: capacity-limited (Resource/Priority/Preemptive), bulk (Container), objects (Store, FilterStore). For continuous use SciPy ODEs; for agent-based use Mesa.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SimPy — Discrete-Event Simulation
## Overview
SimPy is a process-based discrete-event simulation framework using standard Python generators. Model systems where entities (customers, vehicles, packets) interact with shared resources (servers, machines, bandwidth) over time, with event-driven scheduling and optional real-time synchronization.
## When to Use
- Modeling queue-based systems with resource contention (servers, machines, staff)
- Manufacturing process simulation (production lines, scheduling, bottleneck analysis)
- Network simulation (packet routing, bandwidth allocation, latency analysis)
- Capacity planning (determining optimal resource levels for target throughput)
- Healthcare operations (ER patient flow, staff allocation, bed management)
- Logistics and transportation (warehouse operations, vehicle routing)
- **For continuous-time ODE systems** → use SciPy `solve_ivp`
- **For agent-based modeling** → use Mesa
## Prerequisites
```python
# pip install simpy
import simpy
import random
```
## Quick Start
```python
import simpy
import random
def customer(env, name, server):
"""Customer arrives, waits for server, gets served, departs."""
…Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/simpy-discrete-event-simulation@sha256:66a0da2e789c0513The line at the top of this page pins the label git:20260428.81ea2d2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2orlyu76n6qbft7q)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Feb 18, 2026 and Apr 28, 2026, about one every 69 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260428.81ea2d2 latest | 2026-04-28 | 81ea2d2 | 21,611 B | A | view · diff |
| git:20260218.e460066 | 2026-02-18 | e460066 | 21,735 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (21611 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2orlyu76n6qbft7q GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/simpy-discrete-event-simulation GET https://markdownregistry.com/api/v1/blob/66a0da2e789c0513af0285dcf5396e58b03a6c2bcee06c3e1bd7cbe5f969a84c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.