primitive-generator

A tool that writes runnable Python code for each building block of a simulation, such as data sources, media, detectors, operators, fields, and measurements. It fills code into a typed simulation specification.

In plain words
What is it for?
It is used after a simulation specification is assembled and before checks for units, stability limits, conservation, and other scientific requirements.
Why use it?
It turns a structured simulation description into executable code while leaving physics decisions and scientific checks to other tools.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/leventilo/mobius/primitive-generator
Any agent
npx skills add leventilo/mobius --skill primitive-generator
Clone the repo
git clone --depth 1 https://github.com/leventilo/mobius

Made for: Claude Code, Codex.

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,629 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00066 $0.05629
Opus 5 $0.00033 $0.02815
Sonnet 5 $0.00013 $0.01126
Haiku 4.5 $0.00007 $0.00563

Measured 2d ago against content hash 80b602d3991e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

primitive-generator scanned grade A with 1 finding 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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (patterns/_runtime/__init__.py, scripts/validate_primitive.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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Rejected: `os`, `subprocess`, `socket`, `requests`, `urllib`, `http`, `ftp`, `pickle`, `eval`, `exec`, `__import__`. Any rejected import is a hard validator fail.
skills/primitive-generator/SKILL.md · 388 lines

How it starts

The opening of the file, as written. The whole thing — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.

primitive-generator

1. Purpose and scope

This skill produces the executable artifact of every Mobius simulation: the Python code that fills primitives[i].python_code in the SimSpec. The SimSpec arrives from simspec-author with the physics, simulation, and primitives subtrees populated, but with python_code fields empty. This skill writes that code, primitive by primitive, then hands the SimSpec back to the orchestrator. science-integrity runs immediately afterward and gates execution by Managed Agents.

Three things this skill does NOT do. It does not invent physics — physics-interpreter already chose the regime, the equations, and the approximations. It does not validate units, CFL, or conservation — those are five separate scripts shipped by science-integrity. It does not orchestrate primitive ordering or DAG resolution — that is the orchestrator's job using primitives[i].depends_on.

The skill is stateless across primitives: each primitive is generated independently, and depends_on ordering is enforced by the caller, not by this skill. This decouples primitive generation from graph topology and makes the skill reusable by any future Mobius DAG variant.

2. Input

A full SimSpec object on disk as simspec.json, or passed inline by the orchestrator. Required state:

  • paper.* — only used for cache-key computation (abstractHash).
  • physics.regime, physics.approximations, physics.governing_equations[*].domain_hints — drive pattern matching.
  • primitives[*] — every entry has id, type, name, parameters, depends_on, viz_hint, but python_code is empty.
  • simulation.rng_seed — injected into every stochastic primitive.
  • simulation.solver_hints.scheme — used to disambiguate when multiple patterns could match.

If python_code is already non-empty for a primitive, the skill skips it (idempotent re-runs are safe).

3. Output

The same SimSpec object with python_code filled for every primitive. The skill also appends entries to integrity.checks[] of type ambiguity:

Read the full file on GitHub · 388 lines

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. 2d ago First seen · 388 lines · 66 tokens per session scan A 80b602d3991e

Subscribe to this mod's changes

primitive-generator is a skill published in the GitHub repository leventilo/mobius (9 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 5,629 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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