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/volcengine/ark-cli/arkcli-modelsnpx skills add volcengine/ark-cli --skill arkcli-modelsgit clone --depth 1 https://github.com/volcengine/ark-cliWhat 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 | $0.00145 | $0.06344 |
| Opus 5 | $0.00072 | $0.03172 |
| Sonnet 5 | $0.00029 | $0.01269 |
| Haiku 4.5 | $0.00015 | $0.00634 |
Grade A, and why
arkcli-models 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 2d 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 — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
arkcli models
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../arkcli-shared/SKILL.md，其中包含认证闸门、配置排查与命令选择顺序
CRITICAL — 所有 models 命令在执行之前，务必先用 Read 工具读取其对应的 reference 文档，禁止直接盲目调用命令。
使用原则
- 模型相关需求优先使用
arkcli models ... - 这些命令虽然是标准 CLI 类型，但实现入口仍然来自
shortcuts/models/ - 只有产品命令无法覆盖时，才回退到
../arkcli-api-explorer/SKILL.md - 本 skill 不是默认兜底入口；用户明确问模型查询、模型资产盘点、模型详情或为上游命令挑选模型时才进入
- 语音模型边界：TTS / ASR / 播客 / 音色 / 实时语音交互等语音模型在 arkcli 中只支持广场检索与选型说明；
models search能搜到不代表可+deploy、可+code-example、可查usage或可查pricing。除非用户另问官方文档，不要主动给控制台 / OpenAPI / SDK 等非 arkcli 接入步骤或链接。
适用场景
- 用户要搜索、筛选、对比方舟模型
- 用户要查看模型详情、版本、上下文、模态或 lifecycle 状态
- 用户要统计或列出"我的模型"、"自定义模型"、"最近创建的模型"
- 上游
+chat/+gen/+deploy需要先确定可用模型名 - 用户问语音模型是否存在、有哪些语音模型、TTS/ASR 模型在广场叫什么：只回答广场可搜事实和当前 arkcli 不支持后续场景能力的边界
反唤起信号
- 用户只是要直接对话、生成图片/视频或部署 Endpoint：先转对应 skill，只在缺模型名时回来查模型
- 用户明确要求调用原始 Action、列出 OpenAPI 或构造底层 params：转
arkcli-api-explorer - 用户是鉴权、profile、region、base URL 排障：转
arkcli-auth或arkcli-config - 不要把
arkcli models当默认入口；非模型问题不要先查模型
业务定位
- 本 skill 是其他业务链路的依赖 skill，不是终点 skill
- 它通常服务于三类上游目标：
- 给
+chat/+gen找正确模型 - 给
+deploy确认可部署模型 - 给业务排障确认模型详情和版本
- 给
- 除非用户明确就是在做模型查询，否则查完模型后应回到原始任务
- 例外：语音模型查询本身就是终点。查到
doubao-seed-tts-*、doubao-seed-asr-*、seedasr-*、播客、音色设计、实时语音交互等广场语音模型后，停在"可搜到但 arkcli 不支持调用/部署/示例/用量/费用"说明，不继续交给+deploy/+code-example/usage/pricing/onboard，也不主动补非 arkcli 接入路径。
快速决策
第 0 步（硬闸门）：先读场景表，再选命令
这是任何"按意图找模型"需求的第一动作，先于 search / list / resources 的命令选择。MUST 先用 Read 打开 references/arkcli-models-scenario-table.md 判定意图是否命中某个场景标签，然后才决定跑什么命令。 这张人工策展的 场景标签 → 推荐模型 表是意图排序的最高权重信号，压过下方一切命名启发式 / modality / capability 过滤。
易被截胡的反例（必读）——下面这些"闻起来像硬指标"的意图，本质是场景标签，必须先查场景表，不要本能地跳到 --capability / --modality 降级线：
| 用户这么说 | ❌ 别直接 | ✅ 第 0 步命中的场景标签 → 推荐 |
|---|---|---|
| "复杂推理 / 多步骤 / 效果最强的模型" | search --capability thinking |
复杂推理 / Agent 任务 → doubao-seed-2-0-pro |
| "做图片生成用哪个模型" | resources list --modality image 就收手 |
图片生成 → doubao-seedream-5-0 |
| "做视频 / 角色扮演 / 字段抽取" | search --modality ... |
视频生成 / 角色扮演 / 信息抽取 → 查表 |
What ships with it
6 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.
- 2d ago First seen · 298 lines · 145 tokens per session scan A b057c1ebab73
arkcli-models is a skill published in the GitHub repository volcengine/ark-cli (112 stars, last pushed 5d ago), licensed Apache-2.0. It adds 145 tokens to every session and 6,344 once invoked, about $0.0007 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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