Agent Native

handoff-fusion-engineering

This skill prepares a local engineering review draft for Fusion projects, assembling evidence from plans and documents with source tracking and unresolved…

by OpenAIOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (openai)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
License
Apache-2.0 (permissive)
Pin
62844capinned Oct 9, 2026
Context cost
about 700 tokenswhen the skill loads
GitHub stars
14on openai/community-plugins
Scripts
None found

What it does

“Prepare a traceable local Fusion engineering review draft with source identities, artifacts and unresolved assurance gates. Not for sending, publication or release approval.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill prepares a local engineering review draft for Fusion projects, assembling evidence from plans and documents with source tracking and unresolved checks. It validates existing drafts against current source state and stored receipts without sending or publishing the review. The agent uses structured checks on documents, parameters, geometry and CAM inspection results.

When to use it

  • Collecting evidence for internal engineering reviews before approval
  • Auditing Fusion artifacts against plans and requirement sources
  • Preparing traceable handoff documentation with source identities
  • Validating review drafts match current source and receipt state

When not to

  • Publishing or releasing review documentation to stakeholders
  • Sending drafts to external parties or approval systems
  • Performing solver, simulation or ECAD analysis work

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add openai/community-plugins --skill handoff-fusion-engineering

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install openai/community-plugins handoff-fusion-engineering@62844ca1cd865b76c7fed7180fc1ffef16e9167b

Installs the commit we checked (62844ca).

Copy by hand

Download the folder at 62844ca and put it in .claude/skills/handoff-fusion-engineering for Claude Code and in .agents/skills/handoff-fusion-engineering for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 62844ca

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "handoff-fusion-engineering" by OpenAI.

Source, pinned to commit 62844ca1cd865b76c7fed7180fc1ffef16e9167b:
https://github.com/openai/community-plugins/tree/62844ca1cd865b76c7fed7180fc1ffef16e9167b/plugins/autodesk-fusion/skills/handoff-fusion-engineering

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/handoff-fusion-engineering/ for Claude Code and .agents/skills/handoff-fusion-engineering/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/openai/handoff-fusion-engineering

SKILL.md at the pin

---
name: handoff-fusion-engineering
description: Prepare a traceable local Fusion engineering review draft with source identities, artifacts and unresolved assurance gates. Not for sending, publication or release approval.
---

Use `fusion_handoff_prepare` to assemble the user's review evidence, and `fusion_handoff_inspect` to check an existing draft against current source and stored receipt state. Read [the handoff contract](../../docs/handoffs.md) when composing structured checks or interpreting freshness failures.

The accepted fields are `title`, `plan_ids`, `document_ids`, `requirements`, `assumptions`, `reviewers`, `checks` and `external_evidence`. Only the title is required; missing requirements, sources and checks stay explicit. Select actual producing plans to retain artifact and pending/uncertain job evidence. Do not invent unsupported `job_ids`, solver-result fields or approval flags.

Discover the active operation schemas and inspect the actual response before choosing check pointers. Automated handoff checks are limited to `document.inspect`, `parameters.list`, `geometry.measure`, `geometry.check` and `cam.inspect`. Numeric ranges require a value pointer and an exact observed unit pointer/string; there is no implicit unit conversion. Use identity assertions alongside array positions when the measured parameter or entity matters. Do not select credential fields or infer equality from redaction placeholders; rejected or redaction-altered comparisons cannot establish a result. Fixture values and response shapes do not qualify a live Fusion check.

Link requirements and reviewer IDs explicitly. Use manual procedures for unavailable solver, simulation, drawing, ECAD or engineering review work; they remain `not_run`. External evidence references and reported hashes are unfetched, unverified metadata. Reviewer assignments do not authenticate reviewers, notify them or record approval.

Known `freshness_gaps`, malformed coverage, changed source states and missing fingerprints prevent current use of dependent checks. A linked artifact must match its exact producing plan, document, preparation/completion source and implementation contract; an old-source or legacy receipt remains historical. Keep failed, pending and unknown plan outcomes visible. Do not rewrite a stored draft, drop unresolved evidence or refresh a stale assertion into a pass. Collect new observations into a new draft when the task calls for current evidence, keeping the original for comparison.

Return the local draft reference, its evidence scope and the unresolved decisions with their practical impact. A met criterion, screenshot, generated toolpath, setup sheet or provider success is not engineering, machine-collision or regulatory proof. These tools do not send the draft, publish artifacts, update enterprise systems or advance a release. Such actions require their own destination authority and qualified adapter; preparing an already authorized local draft does not require repetitive permission requests.

From openai/community-plugins at 62844ca, shown as plain text under its license: Apache-2.0 (permissive). The license text is in plugins/autodesk-fusion/LICENSE.

View SKILL.md on GitHub at 62844ca

Files

2 files, 3.3 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 62844ca
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