run-fusion-cloud-recipes
This skill prepares, submits, and monitors Fusion Automation cloud jobs with strict controls over source versions, authorization, and spending limits.
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 540 tokenswhen the skill loads
- GitHub stars
- 14on openai/community-plugins
- Scripts
- None found
What it does
“Prepare, submit and reconcile reviewed Fusion Automation jobs with exact sources, scoped authorization and explicit budgets. Not for arbitrary model-generated cloud scripts.”
Generated summary from the skill's own text
This skill prepares, submits, and monitors Fusion Automation cloud jobs with strict controls over source versions, authorization, and spending limits. It enforces frozen configurations, explicit budgets, and validated outputs before execution, preventing unreviewed or unbounded cloud resource usage.
When to use it
- Running pre-approved Fusion cloud recipes with explicit cost budgets
- Processing bounded batches with frozen source versions and immutable configurations
- Validating outputs and reconciling billing after cloud job completion
- Submitting jobs with durable intent tracking and idempotency keys
When not to
- Executing arbitrary or dynamically generated cloud scripts without review
- Running jobs without hard spending caps or immutability guarantees
- Reusing native tokens or distributing credentials across requests
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add openai/community-plugins --skill run-fusion-cloud-recipesInstalls 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 run-fusion-cloud-recipes@62844ca1cd865b76c7fed7180fc1ffef16e9167bInstalls the commit we checked (62844ca).
Copy by hand
Download the folder at 62844ca and put it in .claude/skills/run-fusion-cloud-recipes for Claude Code and in .agents/skills/run-fusion-cloud-recipes for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
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 "run-fusion-cloud-recipes" by OpenAI. Source, pinned to commit 62844ca1cd865b76c7fed7180fc1ffef16e9167b: https://github.com/openai/community-plugins/tree/62844ca1cd865b76c7fed7180fc1ffef16e9167b/plugins/autodesk-fusion/skills/run-fusion-cloud-recipes 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/run-fusion-cloud-recipes/ for Claude Code and .agents/skills/run-fusion-cloud-recipes/ 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/run-fusion-cloud-recipes
SKILL.md at the pin
--- name: run-fusion-cloud-recipes description: Prepare, submit and reconcile reviewed Fusion Automation jobs with exact sources, scoped authorization and explicit budgets. Not for arbitrary model-generated cloud scripts. --- Inspect `fusion_cloud_status`, authorization owner, reviewed recipes, scope and admission budget. Never reuse native MCP tokens, distribute a client secret or request a PAT. Choose an installed recipe and declared typed inputs. Freeze exact source versions/configuration/hashes. A generic signed activity does not constrain code, data or cost. Use `fusion_cloud_job_prepare` to resolve actual dependencies and reservation. Required hard-cap or immutability guarantees remain blockers when unsupported; do not weaken them silently. For a bounded batch, use `fusion_cloud_batch_prepare` with one approved recipe, frozen common source context, approved object-storage destination, a stable request key and explicit unique variant IDs. Review the whole prepared mapping before submission. `fusion_cloud_batch_resume` admits only the requested bounded wave of unattempted children; it does not refresh expiry, bypass per-job budgets or publish into Fusion/ERP. Use `fusion_cloud_batch_inspect` after interruption, and retain each child job ID for detailed status, output validation and billing. Submit the unchanged plan with an existing compute grant and unique idempotency key. Durable intent/reservation precedes submission. Lost acknowledgments and unknown states never justify blind resubmission. Poll the plugin job ID. Provider success remains validating until trusted output checks pass. Cancel only where qualified; cancellation is not rollback or free compute. Final billing comes from the trusted reconciliation adapter; unknown exposure retains its reservation. Unknown validation intent or a recorded output-identity collision blocks the batch. Do not clear records, regenerate keys, revalidate to erase a conflict or submit remaining variants as a workaround. A receipt ID collision check does not prove physical storage-key isolation; that is part of the trusted stager's qualification. Report processing, validation, artifact and cost evidence separately. Offline mocks do not establish geometry, residency, metering or service compatibility. See [enterprise recipes](../../docs/enterprise.md) and [batch recovery](../../docs/batches.md).
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 62844caFiles
- SKILL.md2.4 KB · 457e2dce3931
- agents/
- openai.yaml223 B · 94f6e48eb2c3
2 files, 2.6 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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