Architectural Invariant Design: Capacitor 7 Native Bridge Ephemeral HMAC Attestation Protocol
Capacitor 7 Native Bridge Ephemeral HMAC Attestation Protocol defines an industrial-grade behavioral standard for mobile engineering. Enforces a zero-trust cryptographic attestation layer across all Capacitor 7 native bridge dispatches. Every hardware-level API invocation must be sealed with a single-use HMAC-SHA256 token, monotonic nonce, and millisecond-level timestamp derived from an isolated in-memory key, neutralizing DOM XSS bridge-hijacking attacks. 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 | Direct Unattested Native Plugin Invocations Vulnerable to WebView DOM XSS Exploitation | 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 route Capacitor plugin invocations through an attested dispatch proxy that attaches a cryptographically sealed HMAC-SHA256 payload envelope.
Engineers MUST ALWAYS route Capacitor plugin invocations through an attested dispatch proxy that attaches a cryptographically sealed HMAC-SHA256 payload envelope.
Engineers MUST NOT expose raw `@capacitor/*` plugin instances or `window.Capacitor.toNative` to the global DOM scope or unvetted UI components.
Engineers MUST NOT expose raw `@capacitor/*` plugin instances or `window.Capacitor.toNative` to the global DOM scope or unvetted UI components.
Code SHOULD generate attestation tokens using Web Crypto API (`crypto.subtle`) with non-extractable keys initialized in a non-accessible lexical closure or Web Worker.
Code SHOULD generate attestation tokens using Web Crypto API (`crypto.subtle`) with non-extractable keys initialized in a non-accessible lexical closure or Web Worker.
Services MUST validate that each invocation packet contains a monotonic counter nonce, an ISO timestamp with a maximum 5000ms TTL drift, and an HMAC digest of the serialized method arguments.
Services MUST validate that each invocation packet contains a monotonic counter nonce, an ISO timestamp with a maximum 5000ms TTL drift, and an HMAC digest of the serialized method arguments.
Components NEVER execute raw native calls directly in response to untrusted DOM events or third-party iframe postMessage payloads.
Components NEVER execute raw native calls directly in response to untrusted DOM events or third-party iframe postMessage payloads.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Capacitor 7 Native Bridge Ephemeral HMAC Attestation Protocol critical for AI coding assistants?
Enforces a zero-trust cryptographic attestation layer across all Capacitor 7 native bridge dispatches. Every hardware-level API invocation must be sealed with a single-use HMAC-SHA256 token, monotonic nonce, and millisecond-level timestamp derived from an isolated in-memory key, neutralizing DOM XSS bridge-hijacking attacks. 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 (Direct Unattested Native Plugin Invocations Vulnerable to WebView DOM XSS Exploitation) 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.