Individual skill

peridigm-evidence-fracture

Clarify Peridigm simulation requirements, preserve confirmed physical intent, call evidence-producing CLI or MCP tools, and interpret actual solver results. Executable profiles cover two-point elastic verification and a synthetic precracked tensile damage demonstration; other physics require new qualification.

Skill/peridigm/peridigm-evidence-fracture/SKILL.md

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# 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.