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deepchat-data-import

Build third-party tools to inspect, extract, migrate, or analyze DeepChat's local settings and conversations. Work through data locations, database encryption, and table relationships while favoring read-only copies and redacted output.

OriginalShow the original description

Help developers build third-party tools that import, inspect, migrate, or analyze DeepChat data. Use when Codex needs to work with DeepChat provider configuration, model configuration, MCP/app settings, sessions, messages, legacy chat data, `agent.db`, `chat.db`, SQLCipher encrypted SQLite, Electron safeStorage wrapped passwords, Tauri importers, or native macOS/Windows/Linux data access.

ThinkInAIXYZ/deepchat
See how to install

Good for

  • Building an importer for another application
  • Inspecting provider, model, and MCP settings
  • Extracting conversations for analysis
  • Supporting legacy chat.db data migration

Files included (6)

  • SKILL.md2.9 KB
  • agents/openai.yaml280 B
  • references/data-locations.md2.5 KB
  • references/import-recipes.md4.5 KB
  • references/schema-reference.md7.6 KB
  • references/sqlite-access.md4.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

DeepChat Data Import

Overview

Use this skill to design or implement importers for DeepChat local data. Treat DeepChat's SQLite schema as an internal but documentable contract: inspect the current schema when precision matters, prefer read-only snapshots, and avoid writing to a live profile.

Workflow

  1. Identify the source: live DeepChat profile, copied profile, sync backup, exported agent.db, or legacy chat.db.
  2. Read references/data-locations.md to locate agent.db, sidecar files, encryption metadata, and backup paths.
  3. Read references/sqlite-access.md before opening SQLite. Decide whether the database is unencrypted, can be unlocked through Electron safeStorage, or must ask the user for the SQLite password.
  4. Read references/schema-reference.md for provider config, settings, session, message, and legacy table relationships.
  5. Read references/import-recipes.md when writing extractor code, mapping DeepChat data to another app, or creating a compatibility import.

Safety Rules

  • Get explicit user consent before reading local DeepChat data. Provider keys, OAuth tokens, MCP env vars, prompt text, message traces, and chat content may be sensitive.
  • Never open the active agent.db read-write from a third-party tool. Copy agent.db, agent.db-wal, and agent.db-shm, or use SQLite backup APIs through DeepChat itself.
  • If DeepChat is running, either ask the user to quit it or make a WAL-aware snapshot before import.
  • Prefer parameterized key APIs for SQLCipher passwords. Do not interpolate passwords into SQL.
  • Redact secrets by default in logs, telemetry, previews, and generated sample output.
  • When the schema has changed, inspect schema_versions, sqlite_master, and the table classes under src/main/presenter/sqlitePresenter/tables/ before assuming column availability.

Source Files

Use these repository files as the current source of truth when updating the skill or answering version-sensitive questions:

  • src/main/presenter/sqlitePresenter/index.ts
  • src/main/presenter/sqlitePresenter/connectionConfig.ts
  • src/main/presenter/databaseSecurityPresenter/index.ts
  • src/main/presenter/sqlitePresenter/tables/*.ts
  • src/main/presenter/agentRuntimePresenter/messageStore.ts
  • src/main/presenter/agentRuntimePresenter/sessionStore.ts
  • src/main/presenter/configPresenter/**

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