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.
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 skills add ThinkInAIXYZ/deepchat --skill deepchat-cligit 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-cli)<a href="https://agentmods.dev/skills/thinkinaixyz/deepchat/deepchat-cli"><img src="https://agentmods.dev/badge/skills/thinkinaixyz/deepchat/deepchat-cli/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.
<a href="https://agentmods.dev/skills/thinkinaixyz/deepchat/deepchat-cli"><img src="https://agentmods.dev/badge/skills/thinkinaixyz/deepchat/deepchat-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00080 | $0.01273 |
| Opus 5.5 | $0.00032 | $0.00509 |
| Sonnet 5.5 | $0.00016 | $0.00255 |
| Haiku 4.5 | $0.00008 | $0.00127 |
Grade A, and why
deepchat-cli 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 1mo 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepChat CLI
Use the bundled deepchat command to ask the running DeepChat main process to perform supported
operations. The main process remains the sole owner of providers, credentials, Skills, MCP servers,
artifacts, Agent runs, and approvals.
Command rules
- Every command must begin exactly with
deepchat <domain> <verb>. Put--json,--jsonl,--timeout, and all domain options after the domain and verb. - Execute one standalone command per
execcall. Do not use pipes, redirection, command separators, command substitution, environment assignments, or shell wrappers arounddeepchat. - Quote every user-controlled argument for the current shell. Never interpolate untrusted text into an unquoted command.
- Prefer
--jsonfor one result and--jsonlfor streaming or benchmark collection. Use text mode only when its output will be returned directly to the user. - Do not inspect authentication environment variables or DeepChat's local descriptor. Authorization is injected only after the command has passed the normal shell permission check.
- A shell approval authorizes command execution. Sensitive mutations can additionally pause for a renderer approval; wait for that decision and never attempt to manufacture confirmation data.
- Use
deepchat helpordeepchat <domain> <verb> --helponly when the options below are insufficient. Do not probe undocumented routes.
Agent file and recursion boundaries
- Agent callers may consume a DeepChat-owned artifact with
--artifact <id>and inspect metadata withartifact describe. - Do not use
--file,--out,--overwrite,artifact get, orartifact delete. Agent callers cannot upload arbitrary local bytes, download artifact bytes, or choose output paths. - Do not call
agent runorrun watch. An Agent cannot recursively create a detached Agent run, and waiting on its own currently executing run would deadlock it. Userun getfor a nonblocking snapshot orrun cancelto request cancellation. - Generated media remains in DeepChat's artifact spool. Return the artifact metadata or ID so the application can render or reuse it.
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.
- 1mo ago First seen · 112 lines · 80 tokens per session scan A fcd7e85153e8
deepchat-cli is a skill published in the GitHub repository ThinkInAIXYZ/deepchat (6,362 stars, last pushed 4d ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,273 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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