aieng-closed-loop-copilot

aieng-closed-loop-copilot is a skill for Claude Code, Codex from armpro24-blip/cad-cae-copilot. It costs 54 tokens per session (721 once invoked), scanned A, original, MIT.

A CAD and CAE design-iteration guide for improving an existing solved design against explicit targets. CAD describes geometry; CAE runs engineering simulations on it.

In plain words
What is it for?
Use it to inspect a baseline project, change editable dimensions, rerun simulations, compare metrics, and stop when targets are met or evidence is unavailable.
Why use it?
It keeps design changes bounded and evidence-based by requiring parameter edits, simulation reruns, and comparisons with the baseline.

Skill for Claude CodeCodex

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

Good fit Use it to inspect a baseline project, change editable dimensions, rerun simulations, compare metrics, and stop when targets are met or evidence is unavailable.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/armpro24-blip/cad-cae-copilot/aieng-closed-loop-copilot
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 armpro24-blip/cad-cae-copilot --skill aieng-closed-loop-copilot
Clone the repo
git clone --depth 1 https://github.com/armpro24-blip/cad-cae-copilot

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 aieng-closed-loop-copilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/armpro24-blip/cad-cae-copilot/aieng-closed-loop-copilot/github.svg)](https://agentmods.dev/skills/armpro24-blip/cad-cae-copilot/aieng-closed-loop-copilot)
Your own site
<a href="https://agentmods.dev/skills/armpro24-blip/cad-cae-copilot/aieng-closed-loop-copilot"><img src="https://agentmods.dev/badge/skills/armpro24-blip/cad-cae-copilot/aieng-closed-loop-copilot/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 aieng-closed-loop-copilot

Your own site · 80×15
<a href="https://agentmods.dev/skills/armpro24-blip/cad-cae-copilot/aieng-closed-loop-copilot"><img src="https://agentmods.dev/badge/skills/armpro24-blip/cad-cae-copilot/aieng-closed-loop-copilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 721 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00054 $0.00721
Opus 5.5 $0.00022 $0.00288
Sonnet 5.5 $0.00011 $0.00144
Haiku 4.5 $0.00005 $0.00072

Measured 1mo ago against content hash 28efa072484c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aieng-closed-loop-copilot 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.

aieng-agent-skills/skills/aieng-closed-loop-copilot/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

aieng-closed-loop-copilot

MCP-first closed-loop discipline for recommend → edit → re-simulate → compare. Use this only when a baseline project has CAD, CAE setup/results, and explicit design targets or user-stated metrics.

Purpose

  • Bound design iteration before changing geometry.
  • Prefer safe parameter edits over full regeneration when editable parameters exist.
  • Re-run CAE before claiming improvement.
  • Stop on target met, no evidence, approval denial, or budget exhaustion.
  • For repeatable loops, follow the relevant entry in ../engineering_skill_contracts.json: cad-mod-propose-verify, solver-run-orchestrate, design-target-review, or evidence-report-synthesize.

Required workflow

  1. Define the target, metric, and iteration budget (default: 3).
  2. Inspect baseline with aieng.agent_context, aieng.inspect_package, and result/design-target summaries when present.
  3. Discover editable dimensions with cad.list_editable_parameters and inspect local/global scope.
  4. Choose one change per iteration. Prefer cad.edit_parameter; use cad.execute_build123d, cad.replace_part, or cad.remove_part only when geometry must change structurally.
  5. After CAD mutation, inspect regression_diff (topology drift) and critique_diff (a fail/warn verdict means the edit worsened manufacturability) and refresh semantics if needed.
  6. Run cad.critique for engineering parts before CAE claims.
  7. Prepare CAE with cae.prepare_solver_run, generate deck with cae.generate_solver_input if needed, then call cae.run_solver only through approval.
  8. Extract metrics with cae.extract_solver_results, optionally cae.extract_field_regions, and refresh summaries before comparing.

Hard rules

  • Respect [APPROVAL REQUIRED] tools; if AIENG_MCP_BLOCK_APPROVAL_TOOLS=1 blocks mutation/solver execution, report the block and stop.
  • Do not chain multiple CAD changes before re-simulation unless the user explicitly accepts the loss of attribution.
  • Do not claim improvement until post-change solver/result evidence exists.
  • Read the credibility tier on every result: executed_solver_result outranks proxy_assembly_result outranks surrogate_prediction outranks critique_finding. Compare like-for-like and never present a lower tier as solver-verified.
  • Surrogate proposals are advisory, not evidence: never report a predicted number without its envelope — each prediction carries uncertainty_std / predicted_score_band, and the proposal set carries a leave-one-out validation error band. They guide search only and never substitute for a solver rerun.
  • A critique pass or parameter range check is not production certification.
  • Stop if target is already met, no safe editable variable exists, no solver evidence can be produced, approval is denied, or budget is exhausted.

Read the full file on GitHub · 46 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. 1mo ago First seen · 46 lines · 54 tokens per session scan A 28efa072484c

Subscribe to this mod's changes

aieng-closed-loop-copilot is a skill published in the GitHub repository armpro24-blip/cad-cae-copilot (76 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 721 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 2026-08-30.

Related

Other skills, from other repositories

kernelcad-trace-from-image

Convert pixel-space features from a reference photo into normalized [0,1] waypoints, then into mm coordinates feedable to path().spline / path().nurbsSegment. Uses the tracefromimage MCP tool. Load when your blockout is in place and the next step is an organic-curve outline (upper contour, ergonomic handle, sneaker…

w1ne/kernelCAD-web · 94 tokens

b123d-modeling

Use this skill when asked to model, build, or modify a 3D part or assembly with build123d — from a text description, a technical drawing (image or PDF), dimensions in a spec, or an existing STEP/STL file.

pzfreo/build123d-mcp · 0 tokens

kernelcad-mcp

Load when kernelcad mcp is available and you need to inspect or edit a live model without re-running the full CLI on every change. The MCP server exposes dynamic introspection tools that operate on evaluated in-memory state.

w1ne/kernelCAD-web · 51 tokens

kernelcad-features

Edge and face features — fillet, chamfer, shell, face refs through operations, holes, cutouts. Use when adding rounded edges, recesses, bolt patterns, or carved profiles to a kernelCAD model.

w1ne/kernelCAD-web · 49 tokens

kernelcad-kinematic

Use when verifying whether a moving assembly is buildable — sampled-pose collision sweeps across joint ranges, IK reachability for end-effector targets, mounting-hole fastener consistency, and static-load capacity on cantilever-shaped parts, and closed-loop linkages (four-bar, slider-crank, scissor, over-center latch)…

w1ne/kernelCAD-web · 94 tokens

kernelcad-nurbs

NURBS surfaces (nurbsSurface, surfaceFromCurves, surfaceFromBoundary, .thicken, .toShape) AND NURBS curves (nurbsCurve, spline3d, hermiteG2, curveBridge, Curve3D.bridge) AND surfaceIntersection AND rail loft (Sketch.loft rails) AND multi-section sweeps (variableSweep) AND G1/G2 fillet continuity AND 2D NURBS path…

w1ne/kernelCAD-web · 125 tokens