make-round

make-round is a skill for Claude Code, Codex from autonomous-ai/autonomous-workshop. It costs 62 tokens per session (12,269 once invoked), scanned A, original, Apache-2.0.

A repair-round workflow for computer-aided design models. It combines automated checks and rendered views with a recorded visual inspection of the model.

In plain words
What is it for?
Use it after editing a CAD model to render front, top, and angled views, run deterministic checks, inspect visual errors, and record findings.
Why use it?
It gives each repair attempt one repeatable check and review cycle, so placement, proportions, walls, and moving parts are assessed before the next decision.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it after editing a CAD model to render front, top, and angled views, run deterministic checks, inspect visual errors, and record findings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autonomous-ai/autonomous-workshop/make-round
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 autonomous-ai/autonomous-workshop --skill make-round
Clone the repo
git clone --depth 1 https://github.com/autonomous-ai/autonomous-workshop

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 make-round

README.md
[![agentmods](https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/make-round/github.svg)](https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/make-round)
Your own site
<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/make-round"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/make-round/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 make-round

Your own site · 80×15
<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/make-round"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/make-round.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,269 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 $0.00062 $0.12269
Opus 5.5 $0.00025 $0.04908
Sonnet 5.5 $0.00012 $0.02454
Haiku 4.5 $0.00006 $0.01227

Measured 8d ago against content hash 635e1bef8393, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

make-round 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 8d 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.

src/workshop/make/skills/make-round/SKILL.md · 835 lines

How it starts

The opening of the file, as written. The whole thing — 835 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Motion verification is opt-in. Standalone make_round and verify_project default to false; pass --check-motion true to enable it. Inside Workshop, read the immutable run-root MAKE-OPTIONS.json: the tools inherit its check_motion value and reject contradictory flags. A missing options file in an older materialized run retains its mandatory motion policy. When false, skip motion sweeps and required animation/reconstruction/review, even if a manifest or assembly claims exist. Motion is unverified, never passed; do not claim assemblability or working motion from skipped evidence. Build, fit, print gates and still-image review remain required. These rules take precedence over motion-specific requirements in references and templates.

A correction carries unchanged parts forward. This is the default for workshop fix, recorded as carry_unchanged in the run-root MAKE-OPTIONS.json under schema_version: 2; motion_policy.carry_unchanged() reads it. It is false for every run with no source to carry from, and for every run created before the policy existed -- those have no schema-2 document, so a refreshed tool still reads them the way they were created. workshop fix --full declines it. The policy changes only what a round may CARRY FORWARD. It lowers no threshold, relaxes no gate and skips nothing about the assembly.

What it permits, and only after the changed-part set is established by building EVERY part and comparing its B-rep identity against the source's (ADR 0073 -- never STEP bytes, which an exporter can serialize differently for an unchanged shape, and never a shape reloaded from a STEP file, which does not hash like the one that was built):

  • A part whose B-rep is identical to the source's needs no new isolated component round, even when its exported STEP bytes differ. The source archive's round history for that part is still exactly true of it, because a gate is a pure function of the shape it reads. Carry that history forward and record the B-rep hash it is carried on.
  • Its per-part measure reports are carried forward the same way, unchanged.

gen --write --json reports each part's B-rep identity as identitySha256, alongside the exact installed build123d/cadquery-ocp versions it was computed under as toolchainVersions, computed on the shape it just built, never on an import. Before finalizing a round, write <cad_project_path>/component-identities.json naming, for every sealed .step Component, {"component_identities": {"<path>": "<identitySha256>", ...}, "toolchain": {"build123d": "<version>", "cadquery_ocp": "<version>"}} (paths relative to the product root, e.g. cad/part_belt_cell.step, the toolchainVersions object's own keys). The Make finalizer seals this into made.json as schema_version: 2's component_identities/toolchain fields -- this is what lets a later Correction Run skip rebuilding this archive's own Components (issue #64, ADR 0073's "Update from #60"). Leave the sidecar file unwritten for a round with no identitySha256 to report (an imported/committed STEP target only, or the DXF pipeline): the finalizer seals plain schema_version: 1, exactly as before.

For the source side of a Correction Run's comparison: read the source archive's make/made.json first. If it is schema_version: 2 and its toolchain matches this run's own installed build123d/cadquery-ocp versions exactly, use its component_identities[path] directly -- no rebuild. Otherwise (schema 1, sealed before this change, or a toolchain that does not match -- a sealed hash from a different OCCT is not comparable), get the source side by rebuilding the source's own part_<role>.step.py in a scratch copy of its make/ tree with the same gen --write --json and reading its identitySha256 there; the source's own generator sources and shared helpers are already inside the revision snapshot, so this needs no new input. There is no tolerance on this comparison: two hashes either match or they do not.

Read the full file on GitHub · 835 lines

Files

What ships with it

3 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. 8d ago Changed · +3 lines 635e1bef8393
  2. 9d ago Changed · +31 lines 3958896763f1
  3. 11d ago Changed · +86 lines 9f2b92aa7787
  4. 12d ago Changed · +48 lines c68a20b48f6d
  5. 13d ago Changed · +81 lines 0521bd99de49
  6. 14d ago Changed · +204 lines · +9 tokens per session b4a6611337f2
  7. 16d ago Changed · +30 lines ffd135a58189
  8. 17d ago Changed · +3 lines f2d1ce296259
  9. 18d ago Changed · +63 lines 5ca2f876a63c
  10. 21d ago First seen · 286 lines · 53 tokens per session scan A 55c77185b534

Subscribe to this mod's changes

make-round is a skill published in the GitHub repository autonomous-ai/autonomous-workshop (21 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 12,269 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 2026-09-10.

Related

Other skills, from other repositories

cocoindex-diagrams

This skill should be used when creating, editing, or reviewing inline SVG diagrams for the CocoIndex docs site (anything under docs/src/content/docs/). It encodes the component-based primitive system under docs/src/components/diagrams/, the palette + shape semantics, the preview-and-verify loop using headless Chrome…

cocoindex-io/cocoindex · 124 tokens

cli-command

Design, implement, or review Composio CLI commands under ts/packages/cli using Effect, effect/cli, services, output conventions, configuration and environment variables, and local vendor references. Use for CLI command UX, command wiring, service changes, or CLI source edits. Do not use for CLI E2E-only work; use…

ComposioHQ/composio · 76 tokens

dashboard-design

Use this skill first when the user wants to design or plan a dashboard, especially Vizro dashboards. Enforces a 3-step workflow (requirements, layout, visualization) before implementation. Activate when the user asks to create, design, or plan a dashboard. For implementation, use the dashboard-build skill after…

mckinsey/vizro · 71 tokens

dstack-prototyping

Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final…

dstackai/dstack · 80 tokens

designing-vizro-layouts

Use this skill when designing or building Vizro dashboard layouts — grid configuration, component sizing, filter/parameter placement, selector types, or container patterns. Activate when the user is creating wireframes, defining page structure, placing controls, or sizing charts.

mckinsey/vizro · 58 tokens

ui-mobile

Mobile UI patterns - React Native, iOS/Android, touch targets.

alinaqi/maggy · 17 tokens