substrate-framework: Skill for Codex

.agents/skills/small-ratio-numerics/SKILL.md

small-ratio-numerics is a skill for Codex from vantasnerdan/substrate-framework. It costs 169 tokens per session (5,744 once invoked), scanned A, original, Apache-2.0.

A set of guidance for numerical calculations where a very small physical effect must be separated from much larger effects or numerical errors. It covers simulations involving quantities such as stability, forces, energies, and Hessian eigenvalues.

In plain words
What is it for?
Use it when designing numerical verifiers for soft stability modes, Morse-index claims, stability-window boundaries, weak forces, or small energy differences.
Why use it?
A single-grid calculation can mistake rounding, discretization, or quadrature error for a real physical result when the signal is tiny. The guidance recommends splitting the calculation into better-conditioned parts and checking whether the result is reliable.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: positional $N argument; installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is vantasnerdan/substrate-framework's own configuration. It tells Codex how to work on substrate-framework 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 substrate-framework configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vantasnerdan/substrate-framework. 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/vantasnerdan/substrate-framework/main/.agents/skills/small-ratio-numerics/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vantasnerdan/substrate-framework

Made for: 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 small-ratio-numerics

README.md
[![agentmods](https://agentmods.dev/badge/skills/vantasnerdan/substrate-framework/small-ratio-numerics/github.svg)](https://agentmods.dev/skills/vantasnerdan/substrate-framework/small-ratio-numerics)
Your own site
<a href="https://agentmods.dev/skills/vantasnerdan/substrate-framework/small-ratio-numerics"><img src="https://agentmods.dev/badge/skills/vantasnerdan/substrate-framework/small-ratio-numerics/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 small-ratio-numerics

Your own site · 80×15
<a href="https://agentmods.dev/skills/vantasnerdan/substrate-framework/small-ratio-numerics"><img src="https://agentmods.dev/badge/skills/vantasnerdan/substrate-framework/small-ratio-numerics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,744 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 $0.00169 $0.05744
Opus 5.5 $0.00068 $0.02298
Sonnet 5.5 $0.00034 $0.01149
Haiku 4.5 $0.00017 $0.00574

Measured 1mo ago against content hash 17227d72421b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

small-ratio-numerics 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 1mo 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.

.agents/skills/small-ratio-numerics/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Small-Ratio Numerics

A synthesis of how communities that live in the small-ratio regime — nuclear Skyrme, baby-Skyrme, magnetic skyrmions, Einstein–Skyrme, boson stars, liquid-crystal defect energetics — handle a problem that defeats naive single-grid minimization. The recurring pattern: a strong short-distance scale sets the core and the bulk of the energy; a much weaker long-distance scale carries the physics you care about; the question (a soft Hessian eigenvalue, a tiny energy difference, a weak force) lives in the gap between them. Once $\varepsilon$ or $\lambda_{\min}/\lambda_2$ drops below ~1e-3, the weak signal is usually smaller than truncation error on any single grid, and the calculation reports spurious instability, wrong force signs, runaway frequencies, or "minima" that move with the box.

The elite move is to split scales into well-conditioned questions, then earn a trustworthy signal. Select applicable methods below and record their measured, bounded, or unresolved scope; this is a technical menu, not a fixed work plan. Origin: issue #155 and the cited methods literature. Apply AGENTS.md's reward-first supervision and language-editing contract.

Achievement — construct the object that precision will measure

Earn a production Hessian, generalized eigenproblem, fixed-$J$ functional, force, splitting, or radiation threshold by constructing its mathematical object, ensemble, admissible representation and observable first. The parent's analytic-closure receipt records the exact equations and complete variations; symmetries, constraints, gauges and zero modes; non-dimensional groups, dominant balances and scaling; available bounds, virial identities, limiting cases and asymptotic operators; the strongest conclusion already fixed without discretization; and one residual proposition that numerics must decide. “No convenient closed form” does not by itself open production numerics, while no proof that every unknown analytic route is impossible is required.

Read the full file on GitHub · 173 lines

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. 1mo ago Changed · -1 lines · -1 tokens per session 17227d72421b
  2. 1mo ago Changed · +29 lines a540dcc6e8be
  3. 2mo ago First seen · 145 lines · 170 tokens per session scan A ac221cf45eb0

Subscribe to this mod's changes

small-ratio-numerics is a skill published in the GitHub repository vantasnerdan/substrate-framework (5 stars, last pushed 11d ago), licensed Apache-2.0. It adds 169 tokens to every session and 5,744 once invoked, about $0.0007 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 2026-08-31.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 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

exploratory-data-analysis

Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

presenting-conference-talks

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Orchestra-Research/AI-Research-SKILLs · 53 tokens