Aliyun Model Studio CLI
modelstudioai/cli
Hub for the bl CLI of Alibaba Cloud Model Studio (Bailian): app calls, knowledge bases, model catalog, usage and quota, workspaces, MCP market, auth and skill installs.
Lets an agent drive DeepChat's bundled CLI for model calls, media generation, transcription, OCR, artifacts, configuration, Skills and MCP operations, within strict command rules.
Install DeepChat CLI
$ npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkInAIXYZ/deepchat deepchat-cli --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ThinkInAIXYZ/deepchat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/skills/deepchat-cli .claude/skills/deepchat-cli && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deepchat-cli" agent skill from https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/deepchat-cli into .claude/skills/deepchat-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepchat-cli", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/deepchat-cliType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkInAIXYZ/deepchat deepchat-cli --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkInAIXYZ/deepchat.git skills-src && mkdir -p .agents/skills && cp -r skills-src/resources/skills/deepchat-cli .agents/skills/deepchat-cli && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deepchat-cli" agent skill from https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/deepchat-cli into .agents/skills/deepchat-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepchat-cli", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkInAIXYZ/deepchat deepchat-cli --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkInAIXYZ/deepchat.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/resources/skills/deepchat-cli .cursor/skills/deepchat-cli && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deepchat-cli" agent skill from https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/deepchat-cli into .cursor/skills/deepchat-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepchat-cli", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ThinkInAIXYZ/deepchat.git --path resources/skills/deepchat-cli--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkInAIXYZ/deepchat deepchat-cli --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkInAIXYZ/deepchat.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/resources/skills/deepchat-cli .gemini/skills/deepchat-cli && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deepchat-cli" agent skill from https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/deepchat-cli into .gemini/skills/deepchat-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepchat-cli", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ThinkInAIXYZ/deepchat deepchat-cliInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThinkInAIXYZ/deepchat.git skills-src && mkdir -p .github/skills && cp -r skills-src/resources/skills/deepchat-cli .github/skills/deepchat-cli && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deepchat-cli" agent skill from https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/deepchat-cli into .github/skills/deepchat-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepchat-cli", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThinkInAIXYZ/deepchat deepchat-cli --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkInAIXYZ/deepchat.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/resources/skills/deepchat-cli .opencode/skills/deepchat-cli && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deepchat-cli" agent skill from https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/deepchat-cli into .opencode/skills/deepchat-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepchat-cli", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
deepchat-cli- GitHub stars
- 6.4k
- Used in
- 1 other repo
- Token cost
- ~1.5k tokens
- SKILL.md length
- 579 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Lets an agent drive DeepChat's bundled CLI for model calls, media generation, transcription, OCR, artifacts, configuration, Skills and MCP operations, within strict command rules.
- Calling a DeepChat model, image, video or speech capability that has no dedicated tool
- SKILL.md covers Command rules, Agent file and recursion…, Discovery and model calls and Media, transcription, and OCR, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Comparing models or running a benchmark through DeepChat
What it does
The skill covers the `deepchat` command, which asks the running DeepChat main process to carry out supported operations; the main process stays the only owner of providers, credentials, Skills, MCP servers, artifacts, agent runs and approvals. Uses include model inference and comparison, benchmarks, image, video and speech generation, transcription, OCR, inspecting artifacts and runtime state, reading public configuration and managing Skills and MCP servers.
Command rules are strict. Each call starts with `deepchat` followed by a domain and verb, runs as one standalone command with no pipes, redirection or shell wrappers, and quotes user text. `--json` is preferred for one result and `--jsonl` for streaming. Agents may use artifacts by ID and describe them, but may not upload or download artifact bytes, choose output paths, or start or wait on agent runs, since that could recurse or deadlock. They discover provider and model IDs with `system` commands instead of guessing, never inspect authentication variables, and wait for any approval prompt.
When your agent uses it
- Calling a DeepChat model, image, video or speech capability that has no dedicated tool
- Comparing models or running a benchmark through DeepChat
- Inspecting DeepChat status, capabilities or artifacts
- Managing DeepChat Skills or MCP servers from the command line
Example prompts
- “Run the DeepChat system doctor and tell me what is misconfigured.”
- “Compare two of my DeepChat models on the same prompt and give me the results as JSON.”
- “Describe the DeepChat artifact I just generated.”
Requirements
- DeepChat running, with its bundled deepchat command available
What it can do on your machine
Read from SKILL.md and the folder at commit f873e78. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
DeepChat CLI loads about 1.5k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 579 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ThinkInAIXYZ/deepchat at commit f873e78, republished under its Apache-2.0 licence (© ThinkInAIXYZ). 579 words, ~1,462 tokens.
Download SKILL.mdSave it as
.claude/skills/deepchat-cli/SKILL.md (or your agent's skills folder).- name
- deepchat-cli
- description
- Use DeepChat's bundled CLI control plane for model inference, image/video/speech generation, transcription, OCR, artifact inspection, public configuration, Skills, and MCP operations. Activate when a user asks to invoke DeepChat capabilities that are not already exposed as a more specific tool, compare models, run a benchmark, inspect DeepChat runtime state, or manage DeepChat through the CLI.
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.
Discovery and model calls
deepchat system status --json
deepchat system capabilities --json
deepchat system doctor --json
deepchat provider list --enabled-only --json
deepchat model list --provider <provider-id> --json
deepchat model config-get --provider <provider-id> --model <model-id> --json
deepchat model invoke --provider <provider-id> --model <model-id> --prompt <quoted-text> --jsonlAlways discover provider and model IDs rather than guessing them. model invoke is a raw provider
call: it does not create a chat session, run tools, or start an Agent loop.
Show full SKILL.md (241 more words)Show less
Media, transcription, and OCR
deepchat image generate --provider <provider-id> --model <model-id> --prompt <quoted-text> --jsonl
deepchat video generate --provider <provider-id> --model <model-id> --prompt <quoted-text> --jsonl
deepchat audio speak --provider <provider-id> --model <model-id> --text <quoted-text> --jsonl
deepchat audio transcribe --provider <provider-id> --model <model-id> --artifact <artifact-id> --json
deepchat ocr status --json
deepchat ocr extract --artifact <artifact-id> --json
deepchat artifact describe --id <artifact-id> --jsonUse the provider/model lists to choose a compatible runtime. OCR is local and does not require a provider. OCR text is returned inline and is not written to the artifact spool.
Public configuration and management
Read-only operations:
deepchat settings get --json
deepchat skill list --json
deepchat mcp list --jsonAgent callers may request renderer approval for preference-only settings, query-free HTTPS Skill installation, and adding a new disabled HTTPS remote MCP configuration. Only perform one when it directly satisfies the user's request:
deepchat settings set --key <public-key> --value <json-scalar> --json
deepchat skill install --url <https-url> --json
deepchat mcp add --name <server-name> --stdin --jsonThe Agent setting allowlist is limited to presentation preferences such as font size/family, artifact effects, auto-scroll, notifications, and copy-with-reasoning. Agent Skill URLs cannot carry credentials, query parameters, or fragments. The main process classifies MCP input before approval and rejects stdio commands, non-HTTPS endpoints, headers, authorization bindings, or configurations too large to review safely. Provider/model configuration, credential writes, local Skill archives, Skill enable/disable/removal, MCP update/runtime control/removal, and every destructive operation require the DeepChat UI or a human terminal.
Benchmark discipline
- Pin provider/model IDs and pass per-invocation options; do not mutate global defaults to prepare a benchmark.
- Record structured output, exit status, wall time, and errors. Preserve failed samples.
- For OCR, distinguish cache hit, cache miss with warm runtime, cold runtime after app restart, and
offline availability.
ocr clear-cacheinitializes the resource graph but does not start the OCR helper, so classify the next extraction from its reported pre-extraction runtime state. - Run samples sequentially unless the benchmark explicitly measures concurrency; Agent compute is rate-limited and bounded by the main process.
© ThinkInAIXYZ, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in resources/skills/deepchat-cli of ThinkInAIXYZ/deepchat.
Open the folder on GitHubat commit f873e78
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ThinkInAIXYZ/deepchat, which our catalogue first saw on October 7, 2026.
Compare with similar skills
DeepChat CLI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| DeepChat CLI this skillThinkInAIXYZ/deepchat | 6.4k | 1 repos | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Aliyun Model Studio CLImodelstudioai/cli | 542 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Openmaopenma-ai/open-managed-agents | 315 | — | ~854 | Automated safety check: Pass | Apache-2.0 | |
| Openai Knowledgeopenai/openai-agents-python | 30k | 1 repos | ~408 | Automated safety check: Pass | MIT | |
| Ollama MCP Tool for NanoClawnanocoai/nanoclaw | 31k | 1 repos | ~3k | Automated safety check: Notes | MIT | |
| Copilot SDKgithub/awesome-copilot | 40k | 5 repos | ~6.3k | Automated safety check: Pass | MIT |
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DeepChat Release Process
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Runs the DeepChat repository's release flow: prepares bilingual release notes and a version bump on dev, cuts or updates a release branch, then fast-forwards main and tags the version.
DeepChat Settings
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Changes DeepChat's own application settings, such as theme, language, font size and sound, through a fixed set of settings tools, and points to the right screen for anything else.
DeepChat Data Import Helper
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DeepChat Desktop Control
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AntV Infographic Syntax Creator
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Related
Works with
Categories
Questions about DeepChat CLI
What does DeepChat CLI do?
Lets an agent drive DeepChat's bundled CLI for model calls, media generation, transcription, OCR, artifacts, configuration, Skills and MCP operations, within strict command rules. The skill covers the `deepchat` command, which asks the running DeepChat main process to carry out supported operations; the main process stays the only owner of providers, credentials, Skills, MCP servers, artifacts, agent runs and approvals. Uses include model inference and comparison, benchmarks, image, video and speech generation, transcription, OCR, inspecting artifacts and runtime state, reading public configuration and managing Skills and MCP servers.
When should I use DeepChat CLI?
DeepChat CLI fits situations like: calling a DeepChat model, image, video or speech capability that has no dedicated tool; comparing models or running a benchmark through DeepChat; inspecting DeepChat status, capabilities or artifacts; managing DeepChat Skills or MCP servers from the command line.
How do I install DeepChat CLI in Claude Code?
Run `npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a claude-code`. Or copy the skill folder (resources/skills/deepchat-cli in ThinkInAIXYZ/deepchat) into .claude/skills/deepchat-cli in your project. Claude Code loads it when a task matches its description.
How do I install DeepChat CLI in Codex?
Run `npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a codex`. Or copy the skill folder (resources/skills/deepchat-cli in ThinkInAIXYZ/deepchat) into .agents/skills/deepchat-cli in your project. Codex loads it when a task matches its description.
Can I use DeepChat CLI in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ThinkInAIXYZ/deepchat --skill deepchat-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepchat-cli, .gemini/skills/deepchat-cli, .github/skills/deepchat-cli and .opencode/skills/deepchat-cli in your project.
What does DeepChat CLI need to run?
SKILL.md names no scripts, command-line tools or credentials: DeepChat CLI is instructions for the agent only. Our summary lists: DeepChat running, with its bundled deepchat command available.
Does DeepChat CLI access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is DeepChat CLI safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does DeepChat CLI use?
DeepChat CLI is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does DeepChat CLI use?
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to DeepChat CLI?
Skills that share tags, products or a category with DeepChat CLI: Aliyun Model Studio CLI (modelstudioai/cli, 542 stars), Openma (openma-ai/open-managed-agents, 315 stars), Openai Knowledge (openai/openai-agents-python, 30k stars) and Ollama MCP Tool for NanoClaw (nanocoai/nanoclaw, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains DeepChat CLI?
ThinkInAIXYZ (a GitHub organization) maintains it in ThinkInAIXYZ/deepchat, which has 6,359 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 8, 2026.
Source: ThinkInAIXYZ/deepchat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.