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docs: define security, privacy, and permissions model

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
55/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Active

Research direction

No file or test is named in the issue, so first locate the extension permission and content-script entry points and review any existing privacy or telemetry material. Produce a threat-model document covering the listed assets, trust boundaries, attack paths, mitigations, and residual risks, including the no-prompt-collection and opt-in analytics requirements.

Written by the indexing model from the issue text.

Description

Objective

Make privacy a product feature, not an afterthought.

Principles

QueueIt should process prompt data locally whenever possible.

MVP should avoid sending prompt content to a QueueIt backend.

Document

  • extension permissions
  • host permissions
  • local storage contents
  • sensitive data handling
  • telemetry policy
  • error reporting policy
  • payment/account data boundaries
  • content-script trust boundaries
  • XSS risks in rendered prompts
  • malicious prompt/page content
  • update security
  • third-party dependencies

Explicit requirement

Do not collect prompt content by default.

If analytics are introduced later, document exactly what is collected and make the collection opt-in or privacy-preserving where practical.

Acceptance criteria

The threat model identifies assets, trust boundaries, attack paths, mitigations, and known residual risks.

Dominant language
CSS
Stars
0
Forks
0
PR merge metrics
No merged PRs in 30d

Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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