Will Chen c50527b4c0 Security Panel MVP (#1660)
TODOs:

- [x] Add documentation
- [x] e2e tests: run security review, update knowledge, and fix issue
- [x] more stringent risk rating


<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> Introduces a new Security mode with a Security Review panel that runs
reviews, edits rules, parses findings via IPC, and supports fixing
issues, with tests and prompt/runtime support.
> 
> - **UI/Preview Panel**:
> - Add `security` preview mode to `previewModeAtom` and ActionHeader
(Shield button).
> - New `SecurityPanel` showing findings table (sorted by severity), run
review, fix issue flow, and edit `SECURITY_RULES.md` dialog.
>   - Wire into `PreviewPanel` content switch.
> - **Hooks**:
>   - `useSecurityReview(appId)`: fetch latest review via IPC.
> - `useStreamChat`: add `onSettled` callback to invoke refreshes after
streams.
> - **IPC/Main**:
> - `security_handlers`: `get-latest-security-review` parses
`<dyad-security-finding>` from latest assistant message.
>   - Register handler in `ipc_host`; expose channel in `preload`.
>   - `ipc_client`: add `getLatestSecurityReview(appId)`.
> - `chat_stream_handlers`: detect `/security-review`, use dedicated
system prompt, optionally append `SECURITY_RULES.md`, suppress
Supabase-not-available note in this mode.
> - **Prompts**:
> - Add `SECURITY_REVIEW_SYSTEM_PROMPT` with structured finding output.
> - **Supabase**:
> - Enhance schema query to include `rls_enabled`, split policy
`using_clause`/`with_check_clause`.
> - **E2E Tests**:
> - New `security_review.spec.ts` plus snapshots and fixture findings;
update test helper for `security` mode and findings table snapshot.
> - Fake LLM server streams security findings for `/security-review` and
increases batch size.
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
5022d01e22a2dd929a968eeba0da592e0aeece01. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
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Dyad

Dyad is a local, open-source AI app builder. It's fast, private, and fully under your control — like Lovable, v0, or Bolt, but running right on your machine.

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