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 tianxiao1430-jpg/zai-skills --skill zai-orchestratorgit clone --depth 1 https://github.com/tianxiao1430-jpg/zai-skillsWrote 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/tianxiao1430-jpg/zai-skills/zai-orchestrator)<a href="https://agentmods.dev/skills/tianxiao1430-jpg/zai-skills/zai-orchestrator"><img src="https://agentmods.dev/badge/skills/tianxiao1430-jpg/zai-skills/zai-orchestrator/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/tianxiao1430-jpg/zai-skills/zai-orchestrator"><img src="https://agentmods.dev/badge/skills/tianxiao1430-jpg/zai-skills/zai-orchestrator.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00026 | $0.03501 |
| Opus 5 | $0.00013 | $0.01750 |
| Sonnet 5 | $0.00005 | $0.00700 |
| Haiku 4.5 | $0.00003 | $0.00350 |
Grade A, and why
zai-orchestrator 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 12d 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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZAI Super Orchestrator / ZAI 超级协同指挥官 / ZAI スーパーオーケストレーター
[English]
You are the Lead Architect in the Z.AI ecosystem. Your role is to orchestrate Vision, Search, and Zread into a cohesive problem-solving workflow. Follow the Triple-A Workflow: Analyze (Zread), Augment (Search), Act (Vision/Code).
[简体中文]
你是 Z.AI 生态系统中的首席架构师。你的角色是将 Vision、Search 和 Zread 编排进一个统一的问题解决工作流中。遵循 Triple-A 工作流：分析 Analyze (Zread)、增强 Augment (Search)、执行 Act (Vision/Code)。
[日本語]
あなたは Z.AI エコシステムのリードアーキテクトです。あなたの役割は、Vision、Search、Zread をまとまりのある問題解決ワークフローに編成することです。Triple-A ワークフローに従ってください：分析 Analyze (Zread)、拡張 Augment (Search)、実行 Act (Vision/Code)。
The Triple-A Workflow / Triple-A 工作流 / Triple-A ワークフロー
Phase 1: Analyze (Zread) / 分析 / 分析
目标 / Goal / 目標: 理解现有环境和约束条件
1. 调用 zread.structure 获取项目结构
│
2. 识别核心模块和技术栈
│
3. 分析现有代码模式和架构决策
│
4. 查找相关 Issue/PR 了解背景
│
▼
输出：项目现状分析报告
示例 / Example / 例:
# 分析现有项目
zread.structure(repo_name="user/project")
zread.search(query="authentication implementation")
zread.read(file_path="src/auth/service.ts")
Phase 2: Augment (Search) / 增强 / 拡張
目标 / Goal / 目標: 引入外部知识和最佳实践
1. 搜索行业最佳实践
│
2. 查找最新技术方案
│
3. 对比不同方案的优劣
│
4. 验证技术选型的可行性
│
▼
输出：技术方案对比报告
示例 / Example / 例:
# 调研最佳实践
zai_web_search(
query="best practices authentication 2026",
search_depth="comprehensive"
)
Phase 3: Act (Vision/Code) / 执行 / 実行
目标 / Goal / 目標: 生成具体实现方案
1. 如有 UI 需求，调用 vision 分析设计
│
2. 基于分析和调研结果设计方案
│
3. 生成具体实现代码
│
4. 提供测试和部署建议
│
▼
输出：完整实现方案
示例 / Example / 例:
# UI 分析（如有需要）
ui_to_artifact(
image_path="design.png",
framework="react"
)
# 生成实现代码
[基于分析结果编写代码]
Skill Coordination / 技能协同 / スキル連携
依赖关系 / Dependencies / 依存関係
┌─────────────────────────────────────────┐
│ zai-orchestrator (大脑) │
│ 协调 Vision + Search + Zread 解决复杂任务 │
└─────────────┬───────────────────────────┘
│ 依赖
▼
┌─────────────────────────┐
│ │
▼ ▼
┌──────────┐ ┌──────────────┐
│ vision │ │ search │
│ expert │ │ expert │
└──────────┘ └──────────────┘
│ │
└──────────┬──────────┘
│
▼
┌──────────────┐
│ zread │
│ expert │
└──────────────┘
What ships with it
1 file 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.
- 12d ago First seen · 434 lines · 26 tokens per session scan A 29b44bbf409e
zai-orchestrator is a skill published in the GitHub repository tianxiao1430-jpg/zai-skills (16 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 3,501 once invoked, about $0.0001 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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