Architectural Invariant Design: Tauri 2.0 Mobile Plugin Scoped Capability & ACL Enforcement
Tauri 2.0 Mobile Plugin Scoped Capability & ACL Enforcement defines an industrial-grade behavioral standard for mobile engineering. Enforces granular compile-time capabilities and runtime ACL scoping for Tauri 2.0 iOS and Android plugin bridges. Prevents arbitrary IPC bridge privilege escalation by prohibiting un-scoped default plugin sets and wildcards across webview execution contexts. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Over-privileged IPC bridges granting broad runtime filesystem, biometric, or hardware access across mobile webview boundaries. | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS declare isolated capabilities per window and mobile platform in `src-tauri/capabilities/*.json` instead of using root default configs.
Engineers MUST ALWAYS declare isolated capabilities per window and mobile platform in `src-tauri/capabilities/*.json` instead of using root default configs.
Engineers MUST NEVER use `*
Engineers MUST NEVER use `*:default` or un-scoped capability sets (e.g., `fs:default` without a path scope array) in mobile deployment targets.
Code MUST strictly scope plugin access to mobile sandbox directories (`$APPDATA`, `$RESOURCE`, `$CACHE`) using `BaseDirectory` enums rather than arbitrary string paths.
Code MUST strictly scope plugin access to mobile sandbox directories (`$APPDATA`, `$RESOURCE`, `$CACHE`) using `BaseDirectory` enums rather than arbitrary string paths.
Services MUST verify runtime permission status via plugin-specific `checkPermissions()` and `requestPermissions()` before dispatching IPC invocations on Android/iOS.
Services MUST verify runtime permission status via plugin-specific `checkPermissions()` and `requestPermissions()` before dispatching IPC invocations on Android/iOS.
Components NEVER invoke raw, untyped `invoke('plugin
Components NEVER invoke raw, untyped `invoke('plugin:...')` commands bypassing the compiled Tauri 2.0 mobile client SDK.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Tauri 2.0 Mobile Plugin Scoped Capability & ACL Enforcement critical for AI coding assistants?
Enforces granular compile-time capabilities and runtime ACL scoping for Tauri 2.0 iOS and Android plugin bridges. Prevents arbitrary IPC bridge privilege escalation by prohibiting un-scoped default plugin sets and wildcards across webview execution contexts. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Over-privileged IPC bridges granting broad runtime filesystem, biometric, or hardware access across mobile webview boundaries.) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.