Agent skill

Add LLM Model

by jeffstric in jeffstric/ZJT

新增 LLM 模型专家,指导如何在本项目中添加新的 LLM 供应商和模型。当需要接入新的大语言模型(如 OpenAI、Codex、DeepSeek 等)时使用。

Custom licenceAuto-check passedMedia & Creative

Install Add LLM Model

skills CLI
$ npx skills add jeffstric/ZJT --skill add-llm-model -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeffstric/ZJT add-llm-model --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeffstric/ZJT.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/add-llm-model .claude/skills/add-llm-model && rm -rf skills-src

Use ~/.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/

Facts

Skill name
add-llm-model
GitHub stars
227
Token cost
~2.3k tokens
SKILL.md length
244 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Custom licence

At a glance

新增 LLM 模型专家,指导如何在本项目中添加新的 LLM 供应商和模型。当需要接入新的大语言模型(如 OpenAI、Codex、DeepSeek 等)时使用。

  • Works in 3 steps: 检查 LLMVendor 类中是否已有该供应商 → 检查 LLMModel 类中是否已有该模型 → 检查 MODEL_PREFIX_VENDOR_MAP 是否已有映射
  • Media & Creative work in your project
  • SKILL.md covers 角色定位, 项目结构, 新增 LLM 模型完整流程 and 计费阈值计算公式, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Add LLM Model is an agent skill from jeffstric/ZJT. 新增 LLM 模型专家,指导如何在本项目中添加新的 LLM 供应商和模型。当需要接入新的大语言模型(如 OpenAI、Codex、DeepSeek 等)时使用。

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative. It works with DeepSeek and OpenAI. The repository describes itself as: ZhiJuTong (ZJT) is an AI-powered, open-source platform specifically designed for creating professional short dramas. It automates the entire production pipeline, from script and….

When your agent uses it

  • Media & Creative work in your project

Example prompts

  • “/add-llm-model”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Terminal

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 检查 LLMVendor 类中是否已有该供应商
  2. 检查 LLMModel 类中是否已有该模型
  3. 检查 MODEL_PREFIX_VENDOR_MAP 是否已有映射

What it can do on your machine

Read from SKILL.md and the folder at commit 5cc1f0c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Terminal

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python and yaml).

    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

Add LLM Model loads about 2.3k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 244 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 244 words (~2,301 tokens).

name
add-llm-model
allowed-tools
Read, Write, Terminal

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/add-llm-model of jeffstric/ZJT.

Open the folder on GitHubat commit 5cc1f0c

Compare with similar skills

Add LLM Model 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.

Add LLM Model compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Add LLM Model this skilljeffstric/ZJT227—~2.3kAutomated safety check: PassCustom licence
Blockrundavila7/claude-code-templates32k7 repos~2.2kAutomated safety check: PassMIT
ModLens Image Vision Bridgeliustack/modlens4.2k—~1.3kAutomated safety check: NotesMIT
Ax AIdosco/aithy107—~8.2kAutomated safety check: PassApache-2.0
Deep Reviewdyad-sh/dyad22k—~1.4kAutomated safety check: PassCustom licence
Remember Learningsdyad-sh/dyad22k—~1.1kAutomated safety check: PassCustom licence

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Works with

Questions about Add LLM Model

What does Add LLM Model do?

新增 LLM 模型专家,指导如何在本项目中添加新的 LLM 供应商和模型。当需要接入新的大语言模型(如 OpenAI、Codex、DeepSeek 等)时使用。. Add LLM Model is an agent skill from jeffstric/ZJT.

When should I use Add LLM Model?

Add LLM Model fits situations like: media & Creative work in your project.

How do I install Add LLM Model in Claude Code?

Run `npx skills add jeffstric/ZJT --skill add-llm-model -a claude-code`. Or copy the skill folder (.agents/skills/add-llm-model in jeffstric/ZJT) into .claude/skills/add-llm-model in your project. Claude Code loads it when a task matches its description.

How do I install Add LLM Model in Codex?

Run `npx skills add jeffstric/ZJT --skill add-llm-model -a codex`. Or copy the skill folder (.agents/skills/add-llm-model in jeffstric/ZJT) into .agents/skills/add-llm-model in your project. Codex loads it when a task matches its description.

Can I use Add LLM Model 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 jeffstric/ZJT --skill add-llm-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-llm-model, .gemini/skills/add-llm-model, .github/skills/add-llm-model and .opencode/skills/add-llm-model in your project.

What does Add LLM Model need to run?

SKILL.md names no scripts, command-line tools or credentials: Add LLM Model is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Terminal.

Does Add LLM Model 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 Add LLM Model 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 Add LLM Model use?

Add LLM Model has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Add LLM Model use?

About 2.3k tokens (SKILL.md is roughly 9.2k 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 Add LLM Model?

Skills that share tags, products or a category with Add LLM Model: Blockrun (davila7/claude-code-templates, 32k stars), ModLens Image Vision Bridge (liustack/modlens, 4.2k stars), Ax AI (dosco/aithy, 107 stars) and Deep Review (dyad-sh/dyad, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Add LLM Model?

jeffstric (a GitHub user) maintains it in jeffstric/ZJT, which has 227 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on September 22, 2026.

Source: jeffstric/ZJT on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.