openstudio-mcp: Skill for Claude Code

.claude/skills/python-ems/SKILL.md

python-ems is a skill for Claude Code from NatLabRockies/openstudio-mcp. It costs 47 tokens per session (1,404 once invoked), scanned A, original, no licence file.

A workflow for adding custom EnergyPlus controls and reporting logic with Python. EMS means Energy Management System, which controls or monitors a simulation while it runs.

In plain words
What is it for?
Use it for setpoint resets, schedule overrides, supervisory controls, and custom simulation metrics.
Why use it?
It helps implement control behaviour that packaged heating, cooling, or schedule tools do not cover.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is NatLabRockies/openstudio-mcp's own configuration. It tells Claude Code how to work on openstudio-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything openstudio-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to NatLabRockies/openstudio-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NatLabRockies/openstudio-mcp/develop/.claude/skills/python-ems/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/NatLabRockies/openstudio-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for python-ems

README.md
[![agentmods](https://agentmods.dev/badge/skills/natlabrockies/openstudio-mcp/python-ems/github.svg)](https://agentmods.dev/skills/natlabrockies/openstudio-mcp/python-ems)
Your own site
<a href="https://agentmods.dev/skills/natlabrockies/openstudio-mcp/python-ems"><img src="https://agentmods.dev/badge/skills/natlabrockies/openstudio-mcp/python-ems/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for python-ems

Your own site · 80×15
<a href="https://agentmods.dev/skills/natlabrockies/openstudio-mcp/python-ems"><img src="https://agentmods.dev/badge/skills/natlabrockies/openstudio-mcp/python-ems.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,404 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.01404
Opus 5.5 $0.00019 $0.00562
Sonnet 5.5 $0.00009 $0.00281
Haiku 4.5 $0.00005 $0.00140

Measured 14d ago against content hash dc879abbaea7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python-ems 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 14d 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.

.claude/skills/python-ems/SKILL.md · 119 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 14d ago Changed · +4 lines dc879abbaea7
  2. 1mo ago First seen · 115 lines · 47 tokens per session scan A c06c678d05a4

Subscribe to this mod's changes

python-ems is a skill published in the GitHub repository NatLabRockies/openstudio-mcp (56 stars, last pushed today), with no licence file. It adds 47 tokens to every session and 1,404 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

Related

Other skills, from other repositories

jupyter-notebook

Iterative Python via live Jupyter kernel (hamelnb).

NousResearch/hermes-agent · 18 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

pennylane

Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for…

K-Dense-AI/scientific-agent-skills · 74 tokens

cuopt-numerical-optimization-api

LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.

NVIDIA/skills · 51 tokens

rocm-kernels

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…

huggingface/kernels · 93 tokens

gh-address-comments

Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.

foryourhealth111-pixel/Vibe-Skills · 39 tokens