peridigm-evidence-fracture

peridigm-evidence-fracture is a skill for Claude Code, Codex from Cai-aa/CAE-Agent-Hub. It costs 60 tokens per session (684 once invoked), scanned A, original, MIT.

A controlled workflow for running and interpreting supported Peridigm physics simulations. Peridigm is software for modelling materials and their failure; this workflow asks for missing requirements, runs qualified examples, and uses actual solver results as evidence.

In plain words
What is it for?
Use it to clarify a simulation request, select one of the supported verification or damage examples, preserve its run context, and review evidence from the solver.
Why use it?
It prevents unsupported material assumptions and avoids treating a successful program run as proof that the physics is correct.

Skill for Claude CodeCodex

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

Good fit Use it to clarify a simulation request, select one of the supported verification or damage examples, preserve its run context, and review evidence from the solver.

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Install with agentmods
npx agentmods add skills/cai-aa/cae-agent-hub/peridigm-evidence-fracture
About the project

CAE Agent Hub is a collection of connectors, reusable agent skills, solver-automation workflows, and browser viewers that let coding agents work with engineering simulation software. It is for users of CAE applications and engineering solvers such as Abaqus, ANSYS, LAMMPS, and FreeCAD who work through clients including Codex, Cursor, Claude Code, or Claude Desktop. The catalogue includes 58 skills for these simulation and automation workflows.

Cai-aa/CAE-Agent-Hub · 1,079 stars · on GitHub

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 Cai-aa/CAE-Agent-Hub --skill peridigm-evidence-fracture
Clone the repo
git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub

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 peridigm-evidence-fracture

README.md
[![agentmods](https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/peridigm-evidence-fracture/github.svg)](https://agentmods.dev/skills/cai-aa/cae-agent-hub/peridigm-evidence-fracture)
Your own site
<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/peridigm-evidence-fracture"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/peridigm-evidence-fracture/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 peridigm-evidence-fracture

Your own site · 80×15
<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/peridigm-evidence-fracture"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/peridigm-evidence-fracture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 684 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 $0.00060 $0.00684
Opus 5.5 $0.00024 $0.00274
Sonnet 5.5 $0.00012 $0.00137
Haiku 4.5 $0.00006 $0.00068

Measured 2d ago against content hash 4c659ddee0d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

peridigm-evidence-fracture 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 2d 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.

Skill/peridigm/peridigm-evidence-fracture/SKILL.md · 33 lines

How it starts

The opening of the file, as written. The whole thing — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Peridigm evidence workflow

The AI client supplies language understanding. The deterministic core supplies context state, compilation, execution and checks; neither silently invokes another model nor treats a successful process as physical validation.

Clarify and confirm

  1. Call peridigm_doctor and peridigm_templates before promising a supported simulation.
  2. Call peridigm_start_context(request, actor) with the actual request. Retain its run_id.
  3. Ask the returned questions, grouping at most three important questions per turn. Distinguish missing facts from facts inferable from an explicitly accepted template. Do not invent steel, concrete, damage or contact parameters.
  4. Pass the actual answer to peridigm_answer_context. Selecting compression-two-point-v1 or notched-tension-damage-v1 returns its complete synthetic parameters and confirmation hash. Record whether confirmation comes from the human or an AI operator acting within explicit delegation; never label a scripted test or operator answer as a human response.
  5. Submit the returned confirm_spec_sha256 only after review. If the user changes the problem, start a new specification. Preserve the old one.

For CLI use pd-agent start --json '{"request":"..."}', then answer, validate, submit, status, log, repair, collect, and report. CLI and MCP share core.py. The project-local launcher sets the machine config; do not embed server paths or credentials in reusable instructions.

Execute and diagnose

peridigm_validate checks the frozen specification and exact compiled input. peridigm_submit launches a bounded detached worker. Query the same run after client disconnection; never restart just because observation timed out. Cancel only the recorded job with peridigm_cancel.

Use logs to distinguish dependency, syntax, field/node-set, numerical and physical-semantic errors. peridigm_repair only regenerates an invalid deck from an unchanged frozen spec, retaining the previous file and diff. It stops after three attempts. It does not tune constitutive laws, damage, boundaries, velocity or physical end time to force success.

Read the full file on GitHub · 33 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. 2d ago First seen · 33 lines · 60 tokens per session scan A 4c659ddee0d4

Subscribe to this mod's changes

peridigm-evidence-fracture is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (1,079 stars, last pushed 3d ago), licensed MIT. It adds 60 tokens to every session and 684 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 2026-10-16.

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