deepchat: Skill for Codex

.agents/skills/deepchat-data-import/SKILL.md

deepchat-data-import is a skill for Codex from ThinkInAIXYZ/deepchat. It costs 86 tokens per session (636 once invoked), scanned A, original, Apache-2.0.

A guide for building tools that read, inspect, migrate, or analyze data stored by DeepChat, an AI chat application. It covers provider settings, models, conversations, messages, and DeepChat's local databases.

In plain words
What is it for?
Use it to build importers and compatibility tools, inspect copied or exported DeepChat data, migrate conversations, or map settings into another application.
Why use it?
It helps developers work with DeepChat's internal data carefully, including encrypted SQLite databases and sensitive credentials or chat content.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

This is ThinkInAIXYZ/deepchat's own configuration. It tells Codex how to work on deepchat itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything deepchat configures →

About the project

DeepChat is an open-source desktop client for AI agents that keeps user data local first and connects agents with services such as MCP, Skills, ACP, and messaging apps. It is for people who want to use and control AI assistants from a desktop application. The catalogue add-ons extend DeepChat’s agent workflows.

ThinkInAIXYZ/deepchat · 6,384 stars · on GitHub · deepchat.thinkinai.xyz

Reuse

Borrowing it

Nothing to install: this file belongs to ThinkInAIXYZ/deepchat. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ThinkInAIXYZ/deepchat/dev/.agents/skills/deepchat-data-import/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ThinkInAIXYZ/deepchat

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deepchat-data-import

README.md
[![agentmods](https://agentmods.dev/badge/skills/thinkinaixyz/deepchat/deepchat-data-import/github.svg)](https://agentmods.dev/skills/thinkinaixyz/deepchat/deepchat-data-import)
Your own site
<a href="https://agentmods.dev/skills/thinkinaixyz/deepchat/deepchat-data-import"><img src="https://agentmods.dev/badge/skills/thinkinaixyz/deepchat/deepchat-data-import/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deepchat-data-import

Your own site · 80×15
<a href="https://agentmods.dev/skills/thinkinaixyz/deepchat/deepchat-data-import"><img src="https://agentmods.dev/badge/skills/thinkinaixyz/deepchat/deepchat-data-import.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 636 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.00636
Opus 5.5 $0.00034 $0.00254
Sonnet 5.5 $0.00017 $0.00127
Haiku 4.5 $0.00009 $0.00064

Measured 2mo ago against content hash ab2b4c909f45, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepchat-data-import scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/deepchat-data-import/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 52 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 52 lines · 86 tokens per session scan A ab2b4c909f45

Subscribe to this mod's changes

deepchat-data-import is a skill published in the GitHub repository ThinkInAIXYZ/deepchat (6,384 stars, last pushed yesterday), licensed Apache-2.0. It adds 86 tokens to every session and 636 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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