# Permitted-snippet decision pack

Compare three synthetic code classes and capture an employer-owned disclosure decision.

Fictional code and illustrative classifications. No real employer approval or protection test is implied.

Source: https://aona.ai/resources/guides/proprietary-source-code-ai-prompts/
Sources checked: 2026-09-21

| Code class | Needed for the question? | Next step |
| --- | --- | --- |
| Public-style utility | Small relevant function | Use an approved service/account |
| Internal business rule | Possibly reducible | Ask the code owner |
| Restricted-labelled marker | Only for an access test | Keep it synthetic and isolated |

## Review checklist

- [ ] Record the employer’s decision
  Name the code owner, permitted purpose, service and account.
- [ ] Check that the smaller example still works
  Preserve the relevant error or behaviour without unrelated business context.
- [ ] Review automatically added material
  Confirm selected files, repository context and tool results for the exact client action.

## Included example files

- README.md
- public-style-example.py
- fictional-internal-example.py
- restricted-marker.txt
- snippet-decision.md

## Source references

- Cursor: Privacy and Data Governance: https://cursor.com/docs/enterprise/privacy-and-data-governance (2026-09-21)
- GitHub: Content exclusion for Copilot: https://docs.github.com/en/copilot/concepts/context/content-exclusion (2026-09-21)

Use the worksheet within the relevant legal, contractual and technical scope. It is not a certification or a record of an installed-product test.