simpy
Build Discrete-Event Simulations with SimPy
Complex queues and shared resources are difficult to evaluate before deployment. This skill guides SimPy models, monitoring, synchronization, and result analysis.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "simpy" from https://skillstore.io/skills/davila7-simpy.md and its manifest at https://skillstore.io/api/skills/davila7-simpy/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "simpy". Simulate one server with random arrivals and service times for 100 time units.
Expected outcome:
- Average wait: 3.4 time units
- Average utilization: 78 percent
- Throughput: 0.42 customers per time unit
Using "simpy". Compare two and three machines for a production queue.
Expected outcome:
Three machines reduce average waiting, but lower utilization may not justify the added capacity.
Using "simpy". Check a process that waits forever after an event reset.
Expected outcome:
The event references are recreated independently, so sender and receiver wait on different events. Share the replacement event before the next cycle.
Security Audit
SafeMost static alerts are lexical false positives: SimPy resource requests are not network calls, env means simulation environment, and Markdown backticks do not execute commands. The executable monitor performs an explicit CSV write to a caller-selected path, which can overwrite an existing writable file.
Capability review items (1)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
🌐 Network access (22)
📁 Filesystem access (2)
⚙️ External commands (50)
Share & cite this report
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https://skillstore.io/skills/davila7-simpy/audits/11?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/davila7-simpy?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/davila7-simpy/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/davila7-simpy.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
davila7. (2026). simpy security audit report (audit version 11) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-simpy/audits/11BibTeX citation
@techreport{davila7-davila7-simpy-2026,
author = {davila7},
title = {simpy security audit report (audit version 11)},
institution = {Skillstore},
year = {2026},
number = {11},
url = {https://skillstore.io/skills/davila7-simpy/audits/11},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "simpy security audit report (audit version 11)"
version: "unspecified"
type: report
authors:
- name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-simpy/audits/11"
identifiers:
- type: other
value: "skillstore:davila7-simpy:audit:11"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
davila7-simpy
2026-08-21
k-dense-ai-simpy
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Plan Service Capacity
Model arrivals, service times, staffing levels, queues, and wait-time targets before changing operations.
Test Production Flow
Simulate machines, buffers, priorities, failures, and throughput constraints across manufacturing scenarios.
Teach Event Simulation
Explain processes, resources, events, interrupts, and monitoring through focused Python examples.
Try These Prompts
Create a basic SimPy queue with [resources], [arrival pattern], and [service pattern]. Explain each process and report wait time and throughput.
Extend my SimPy model for [system] with priority resources, reproducible randomness, and utilization monitoring. State assumptions and identify validation checks.
Review this SimPy model for deadlocks, resource leaks, invalid event reuse, and biased metrics. Propose focused corrections and tests: [model details].
Design a capacity experiment for [system]. Compare [capacity options] across repeated seeded runs and summarize utilization, wait percentiles, throughput, and tradeoffs.
Best Practices
- Define entities, resources, processes, time units, and metrics before implementing the model.
- Set random seeds and compare simple scenarios against analytical expectations before scaling experiments.
- Use resource context managers and monitor data throughout each simulation run.
Avoid
- Do not use blocking Python calls inside SimPy process functions.
- Do not reuse an event after it has already been triggered.
- Do not treat one random run as sufficient evidence for capacity decisions.
Frequently Asked Questions
What systems can this skill model?
Does it install SimPy?
Can it model real-time systems?
What metrics can it collect?
Can it export results?
Does it validate simulation assumptions?
Developer Details
Author
davila7License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
c43861a65bb95efcae259cd161c9d6f4dc7eec6f
Maintenance freshness
7/24/2026
Usage
8 downloads · 225 views
File structure