Fix all integrations

README.md

@@ -9,9 +9,12 @@ GIA is a multi-transport communication workspace that unifies Signal, WhatsApp,
 - Unifies chats from multiple protocols in one interface.
 - Keeps conversation history in a shared model (`Person`, `PersonIdentifier`, `ChatSession`, `Message`).
 - Supports manual, queue-driven, and AI-assisted outbound messaging.
+- Supports canonical task creation from chat commands, web UI, and MCP tooling.
 - Bridges messages across transports (including XMPP) with attachment handling.
 - Tracks delivery/read metadata and typing state events.
 - Provides AI workspace analytics, mitigation plans, and insight visualizations.
+- Exposes fine-grained capability policy controls for gateway commands, task intake, and command execution.
+- Separates XMPP encryption controls into plaintext rejection, component-chat encryption, and relayed-contact encryption.
 
 ## Operation Modes
 
@@ -104,6 +107,14 @@ Core behavior:
 - XMPP bridge supports text, attachments, typing, and chat-state paths.
 - Signal and WhatsApp media relay paths are normalized via shared transport/media logic.
 
+## Settings Model
+
+- `Security > Encryption`: transport-level XMPP/OMEMO controls, observed client state, and discovered key trust management.
+- `Security > Permissions`: fine-grained capability policy by scope, service, and channel pattern.
+- `Modules > Commands`: command profiles, bindings, and delivery behavior.
+- `Modules > Task Automation`: task extraction defaults, channel overrides, and provider approval routing.
+- `Modules > Business Plans`: generated document inbox and editor.
+
 Key design points:
 
 - Prefer shared media preparation over per-service duplicated logic.
@@ -121,6 +132,7 @@ Core components:
 - `core/clients/xmpp.py`: XMPP component bridge and media upload relay.
 - `rust/manticore-mcp-worker`: optional ultra-light MCP frontend for direct Manticore status/query/maintenance.
 - `core/views/compose.py`: Manual compose UX, polling/ws, send pipeline, media blob endpoint.
+- `core/tasks/engine.py`: Canonical task creation/completion helpers used by chat commands and UI.
 - `core/views/workspace.py`: AI workspace operations and insight surfaces.
 - `core/views/osint.py`: Search/workspace OSINT interactions.
 
@@ -144,6 +156,7 @@ After environment setup from `INSTALL.md`:
 4. Open manual compose and test per-service send/receive.
 5. Open AI workspace for analysis/mitigation workflows.
 6. Verify queue workflows if approval mode is used.
+7. Verify task creation from `/tasks/`, `.tasks add <project> :: <title>`, or scoped `.task add <title>`.
 
 Recommended functional smoke test:
 
@@ -157,6 +170,7 @@ Recommended functional smoke test:
 - After runtime code changes, restart runtime services before validation.
 - Full environment recycle convention: `make stop && make run`.
 - If single-service restart fails due to dependency state, use full recycle.
+- Local repository checks are available via `make pre-commit`; use `make pre-commit-glibc` when you want libc-based `env`/`genv` selection.
 
 ## Security & Reliability Notes