Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/thinkinaixyz/deepchat/deepchat-data-importnpx skills add ThinkInAIXYZ/deepchat --skill deepchat-data-importgit clone --depth 1 https://github.com/ThinkInAIXYZ/deepchatWrote 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.
[](https://agentmods.dev/skills/thinkinaixyz/deepchat/deepchat-data-import)<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="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00086 | $0.00636 |
| Opus 5 | $0.00043 | $0.00318 |
| Sonnet 5 | $0.00017 | $0.00127 |
| Haiku 4.5 | $0.00009 | $0.00064 |
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 4d 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.
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
- Identify the source: live DeepChat profile, copied profile, sync backup, exported
agent.db, or legacychat.db. - Read references/data-locations.md to locate
agent.db, sidecar files, encryption metadata, and backup paths. - 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.
- Read references/schema-reference.md for provider config, settings, session, message, and legacy table relationships.
- 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.dbread-write from a third-party tool. Copyagent.db,agent.db-wal, andagent.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 undersrc/main/presenter/sqlitePresenter/tables/before assuming column availability.
Source 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.
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.
- 4d ago First seen · 52 lines · 86 tokens per session scan A ab2b4c909f45
deepchat-data-import is a skill published in the GitHub repository ThinkInAIXYZ/deepchat (6,302 stars, last pushed 2d ago), licensed Apache-2.0. It adds 86 tokens to every session and 636 once invoked, about $0.0004 per session on Opus 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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