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pypsa-network-modeling

pypsa-network-modeling is a skill for Claude Code from nimabahrami/pypsa-skills-kit. It costs 103 tokens per session (1,198 once invoked), scanned A, original, MIT.

A skill for building and editing PyPSA electricity-network models before optimization. PyPSA is a Python tool for representing power systems with buses, generators, storage, lines, loads, and time snapshots.

In plain words
What is it for?
Use it to create or modify PyPSA networks, including buses, carriers, generators, storage, transmission, loads, snapshots, and capacity expansion.
Why use it?
It helps prevent structural and unit mistakes that can make an energy model produce misleading results or fail later. It also covers conventions for power, energy, costs, signs, and connections.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the pypsa-skills plugin — 9 skills shipped together

not rated 23repo 2mo ago A scan 103 tokens original MIT

Good fit Use it to create or modify PyPSA networks, including buses, carriers, generators, storage, transmission, loads, snapshots, and capacity expansion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nimabahrami/pypsa-skills-kit/pypsa-network-modeling
View source ↗ nimabahrami/pypsa-skills-kit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nimabahrami/pypsa-skills-kit --skill pypsa-network-modeling
Clone the repo
git clone --depth 1 https://github.com/nimabahrami/pypsa-skills-kit

Made for: Claude Code.

Or install pypsa-skills, the plugin that ships this one along with the rest of its 9 skills.

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 pypsa-network-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/nimabahrami/pypsa-skills-kit/pypsa-network-modeling/github.svg)](https://agentmods.dev/skills/nimabahrami/pypsa-skills-kit/pypsa-network-modeling)
Your own site
<a href="https://agentmods.dev/skills/nimabahrami/pypsa-skills-kit/pypsa-network-modeling"><img src="https://agentmods.dev/badge/skills/nimabahrami/pypsa-skills-kit/pypsa-network-modeling/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 pypsa-network-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/nimabahrami/pypsa-skills-kit/pypsa-network-modeling"><img src="https://agentmods.dev/badge/skills/nimabahrami/pypsa-skills-kit/pypsa-network-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,198 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 original 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 $0.00103 $0.01198
Opus 5 $0.00051 $0.00599
Sonnet 5 $0.00021 $0.00240
Haiku 4.5 $0.00010 $0.00120

Measured 10d ago against content hash 080df4b61254, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

pypsa-network-modeling 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 10d 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.

skills/pypsa-network-modeling/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PyPSA Network Modeling

Scope: electricity-side PyPSA models, structurally correct before optimization. Heat|hydrogen|transport -> pypsa-sector-coupling. Parameter sanity -> pypsa-physical-realism. ! Project = Snakemake workflow (PyPSA-Eur | PyPSA-Earth)? -> READ references/framework-workflows.md FIRST — config-first discipline, never n.add() into generated networks.

Units + signs (first)

  • Power=MW | energy=MWh | costs=EUR | specific=EUR/MW or EUR/MWh.
  • marginal_cost = EUR/MWh OUTPUT (primary bus; bus0 for links). Static OR snapshot series (n.generators_t.marginal_cost) on Generator|Link|StorageUnit|Store — volatile fuel/CO2 -> series; sourcing -> pypsa-data-pipelines. ! capital_cost static only; per-period variation via build_year tranches.
  • capital_cost = ANNUALIZED EUR/MW (Store: EUR/MWh) per investment period. ! Overnight CAPEX in one-year model -> investment cost overstated ~10-20x.
  • Annualize: capital_cost = overnight_cost * annuity(r, lifetime) + FOM; annuity(r, n) = r / (1 - (1 + r) ** -n).
  • Generator: positive p = injection. Load: positive p_set = consumption.
  • Link: p1 = -efficiency * p0; p0 = withdrawal at bus0. Losses: SET efficiency < 1, not second component.
  • Line/transformer per-unit impedances relative to bus v_nom.

Build workflow

  • BUILD carriers first: n.add("Carrier", ...), include co2_emissions for fossil fuels -> constraints + statistics group by carrier.
  • BUILD buses with explicit carrier (AC|DC|heat|H2|...). 1 bus = 1 energy-balance equation. Merge buses only if pypsa-market-design confirms aggregation won't distort measurement.
  • SET snapshots -> SET n.snapshot_weightings if snapshot > 1h. Three columns = three quantities: objective = COSTS (+ marginal_price normalization) | generators = accounted ENERGY (CO2/primary-energy GlobalConstraints, e_sum limits) | stores = ELAPSED TIME (SOC continuity, standing_loss^w). ! Setting only objective -> CO2 cap silently loosened by the sampling factor (constraint counts 1/w of real emissions, CO2 price -> 0, dispatch flips fossil) + storage losses understated w-fold. consistency_check does NOT catch it. SET ALL THREE.
  • BUILD components. SET p_nom_extendable=True only where investment = decision. SET nonzero capital_cost + finite p_nom_max (land/resource limits) on every extendable -> else unbounded-free expansion.
  • Dispatch-only: SET fixed p_nom + p_nom_extendable=False everywhere. ! committable=True + extendable: invalid through PyPSA 1.0.x (consistency_check rejects) | >=1.1.0 allowed via big-M (committable_big_m, auto M = 10x peak load). Discrete unit sizes -> p_nom_mod > 0 = integer module count -> MILP (pypsa-solve-and-debug).
  • RUN n.consistency_check() before every solve.

Read the full file on GitHub · 49 lines

Files

What ships with it

4 files 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. 10d ago First seen · 49 lines · 0 tokens per session scan A 080df4b61254

Subscribe to this mod's changes

pypsa-network-modeling is a skill published in the GitHub repository nimabahrami/pypsa-skills-kit (23 stars, last pushed 2mo ago), licensed MIT. It adds 103 tokens to every session and 1,198 once invoked, about $0.0005 per session on Opus 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.

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