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.
npx skills add autonomous-ai/autonomous-workshop --skill make-roundgit clone --depth 1 https://github.com/autonomous-ai/autonomous-workshopWrote 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.
[](https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/make-round)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
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.
- 8d ago Changed · +3 lines 635e1bef8393
- 9d ago Changed · +31 lines 3958896763f1
- 11d ago Changed · +86 lines 9f2b92aa7787
- 12d ago Changed · +48 lines c68a20b48f6d
- 13d ago Changed · +81 lines 0521bd99de49
- 14d ago Changed · +204 lines · +9 tokens per session b4a6611337f2
- 16d ago Changed · +30 lines ffd135a58189
- 17d ago Changed · +3 lines f2d1ce296259
- 18d ago Changed · +63 lines 5ca2f876a63c
- 21d ago First seen · 286 lines · 53 tokens per session scan A 55c77185b534
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.
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