scipy-ode-simulation-starter

scipy-ode-simulation-starter is a skill for Claude Code, Codex from ma-compbio-lab/SkillFoundry. It costs 0 tokens per session (272 once invoked), scanned A, original, Apache-2.0.

A starter scientific-computing workflow that solves a fixed predator-prey ordinary differential equation using SciPy and returns a short JSON summary. An ordinary differential equation describes how quantities change over time.

In plain words
What is it for?
Use it to simulate the Lotka–Volterra predator-prey model and report peak times, peak populations, and the final state.
Why use it?
It provides a small, repeatable example for checking that numerical simulation code runs and produces stable results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to simulate the Lotka–Volterra predator-prey model and report peak times, peak populations, and the final state.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ma-compbio-lab/skillfoundry/scipy-ode-simulation-starter
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 ma-compbio-lab/SkillFoundry --skill scipy-ode-simulation-starter
Clone the repo
git clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundry

Made for: Claude Code, Codex.

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 scipy-ode-simulation-starter

README.md
[![agentmods](https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/scipy-ode-simulation-starter/github.svg)](https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/scipy-ode-simulation-starter)
Your own site
<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/scipy-ode-simulation-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/scipy-ode-simulation-starter/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 scipy-ode-simulation-starter

Your own site · 80×15
<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/scipy-ode-simulation-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/scipy-ode-simulation-starter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 272 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 $0.00000 $0.00272
Opus 5 $0.00000 $0.00136
Sonnet 5 $0.00000 $0.00054
Haiku 4.5 $0.00000 $0.00027

Measured 6d ago against content hash 761e03f7b323, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

scipy-ode-simulation-starter 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/run_scipy_ode_simulation.py, tests/test_run_scipy_ode_simulation.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/scientific-computing-and-numerical-methods/scipy-ode-simulation-starter/SKILL.md · 27 lines

What it actually says

SciPy ODE Simulation Starter

Use this skill to integrate a deterministic predator-prey ordinary differential equation with scipy.integrate.solve_ivp and return a compact trajectory summary.

What it does

  • Solves a Lotka-Volterra system with fixed parameters and deterministic initial conditions.
  • Reports peak times, peak populations, and the final state from the simulated trajectory.
  • Produces a small JSON summary that is stable enough for repository smoke tests.

When to use it

  • You need a runnable starter for ODE / SDE simulation workflows.
  • You want a minimal verified example of solve_ivp before building larger simulation workflows.

Example

slurm/envs/scientific-python/bin/python skills/scientific-computing-and-numerical-methods/scipy-ode-simulation-starter/scripts/run_scipy_ode_simulation.py \
  --out scratch/scipy-ode/lotka_volterra_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/scientific-computing-and-numerical-methods/scipy-ode-simulation-starter/tests -p 'test_*.py'
  • Repository smoke: python3 -m unittest tests.smoke.test_phase30_empty_domain_seed_skills -v
Files

What ships with it

7 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. 6d ago First seen · 27 lines · 0 tokens per session scan A 761e03f7b323

Subscribe to this mod's changes

scipy-ode-simulation-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (39 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 272 tokens. 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 2026-09-03.

Related

Other skills, from other repositories

arxiv-search

Skill "arxiv-search" from TaewoooPark/MagLab, covering category scoping, query families (3–6 per topic), version and doi resolution, tier classification and output contract.

TaewoooPark/MagLab · 68 tokens

revision-letter

Point-by-point peer-review response letter workflow for journal resubmission. Invokes RevisionLetterAgent to quote each reviewer comment verbatim, draft a response, and add a change-location marker. Outputs carry HUMAN REVIEW REQUIRED; no auto-send. A DOI or manuscript location is required for every factual response…

TaewoooPark/MagLab · 68 tokens

literature-search

Broad literature search for magnetism & spintronics — OpenAlex REST query strategy, query family generation, tier classification, and evidencematrix construction (§14.3·§14.7). Activated by the maglab lit search command and the research orchestration search-scout agent.

TaewoooPark/MagLab · 60 tokens

physics-oracle

Use when validating the dimensional, range, and conservation-law plausibility of magnetic physics quantities, or when performing deterministic physics formula calculations and unit conversions. Gilbert damping 0≤α≤1 check, M≤Ms, exchange length and domain wall width calculations, Oe↔A/m↔T·emu/cm³↔A/m·Jij meV↔K…

TaewoooPark/MagLab · 84 tokens

statistical-experimental-evaluation

Design and run statistical experiments that test the formal problem, proposed methods, theoretical predictions, baselines, and ablations.

aiming-lab/AutoResearchClaw · 31 tokens

batch-effect-correction

Use when correcting batch effects in merged bulk expression matrices with sample-level batch metadata while preserving biological group structure and generating before-and-after QC plots. NOT for: single-cell integration, raw FASTQ processing, differential expression without batch labels, or datasets without…

aipoch/medical-research-skills · 57 tokens