simpy SKILL.md skillA
simpy from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/simpy@v1.6Pins v1.6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/simpy/SKILL.md- Versions recorded
- 8
- Latest version
- v1.6, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 14,395 bytes
- Repository stars
- 56,497
- License
- MIT
Builds, inspects, tests, and analyzes bounded process-based discrete-event simulations with SimPy. Use for event scheduling, resource queues, interrupts, monitoring, independent replications, warm-up, and reproducible output analysis.
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 ## Scope Use this skill for process-based discrete-event models where active entities yield events and contend for resources: queues, production systems, logistics, networks, service operations, inventory, and other event-driven systems. SimPy supplies an event scheduler and modeling primitives. It does **not** choose a scientifically valid conceptual model, input distribution, warm-up, run length, replication count, estimand, or causal interpretation. Treat those as simulation-study methodology, not SimPy API behavior. ## Current release and installation Reviewed **2026-10-01** against current official documentation and the released source: - Latest stable: **SimPy 4.1.2**, released on PyPI 2026-05-24; source tag `4.1.2` points to commit `f4381649`. - Package metadata requires Python **>=3.8** and classifies CPython 3.8-3.14 plus PyPy. SimPy has no runtime dependencies. - 4.1.2 adds Python 3.13/3.14 support and modern-interpreter test fixes. - Upstream and this skill are MIT-licensed. Create a reproducible environment: ```bash uv venv --python 3.13 source .venv/bin/activate uv pip install "simpy==4.1.2" …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/simpy@sha256:027244a3587e70c3The line at the top of this page pins the label v1.6, 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_sbsltut2luxd6bl3)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 8 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 16 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.6 latest | 2026-10-01 | a92663a | 14,395 B | A | view · diff |
| v1.5 | 2026-09-30 | ce9e6e9 | 13,673 B | A | view · diff |
| v1.4 | 2026-09-10 | 27e3483 | 13,428 B | A | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 13,428 B | A | view · diff |
| v1.2 | 2026-07-26 | 2f2022d | 12,470 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 12,477 B | A | view · diff |
| v1.1 | 2026-07-23 | 65f4698 | 12,481 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 12,185 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 (14395 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
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sbsltut2luxd6bl3 GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/simpy GET https://markdownregistry.com/api/v1/blob/027244a3587e70c3e2f1aed4bfb5d737cb24fdc6b2ad276302ed81c02e38a7fc
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.