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 volcengine/ark-cli --skill arkcli-modelsgit clone --depth 1 https://github.com/volcengine/ark-cliWrote 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/volcengine/ark-cli/arkcli-models)<a href="https://agentmods.dev/skills/volcengine/ark-cli/arkcli-models"><img src="https://agentmods.dev/badge/skills/volcengine/ark-cli/arkcli-models/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/volcengine/ark-cli/arkcli-models"><img src="https://agentmods.dev/badge/skills/volcengine/ark-cli/arkcli-models.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 | $0.00311 | $0.08451 |
| Opus 5.5 | $0.00124 | $0.03380 |
| Sonnet 5.5 | $0.00062 | $0.01690 |
| Haiku 4.5 | $0.00031 | $0.00845 |
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 17d 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 — 336 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 — 若模型查询服务于 Endpoint 创建，必须先完成 owning Skill 交接：普通创建先用 Read 读取 ../arkcli-deploy/SKILL.md；显式 raw CRUD / CI / 无守卫创建先用 Read 读取 ../arkcli-infer-endpoint/SKILL.md。未读取 owning Skill 前，禁止执行认证检查、模型查询或任何其他命令。
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。
第 -1 步（硬闸门）：先锁定最终任务的 owning Skill
- 先判断用户最终要做的是“查询模型”，还是把模型用于上游任务；不能因为用户提到
models search就把模型查询当成最终任务。 - 最终目标是 Endpoint 创建时，本 skill 只能作为只读助手，不能成为 owning Skill：普通创建读取并保留
arkcli-deploy；显式 raw CRUD / CI / 无守卫创建读取并保留arkcli-infer-endpoint。 - owning Skill 的查询次数、结果上限、停止点和写入边界高于本 skill 的通用流程。完成交接后按 owning Skill 执行；只有纯模型查询才继续本 skill 的第 0 步和通用命令选择。
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、模型详情时才作为主路由。若是在为上游
+chat/+gen/ Endpoint 创建挑模型，先加载并保留对应上游 skill，本 skill 只提供只读查询。普通 Endpoint 创建的 owning skill 是arkcli-deploy；显式 raw CRUD / CI / 无守卫的 Endpoint 创建意图必须切换到arkcli-infer-endpoint，并在查询候选前先加载它 - 语音模型边界：广场命中不证明 arkcli 支持该模型的调用、Endpoint 创建、示例或用量。TTS/ASR 等独立能力的接入应核对对应官方 API/SDK，不把裸名塞进 Responses。费用询价交给
pricing models --modality Audio，仅按当前计价项作答；未返回就说明价格源未覆盖。 - 下线通知与广场目录是不同证据域：用户提到短信/站内信、停服日期或「是否需要重新设置」时，先核对对应产品的官方下线公告，不要先查
models search再用目录里的Published/Retiring反驳公告。若用户未说明使用 Agent Plan、Coding Plan 还是按量 Endpoint，分别标注各产品适用范围；Agent Plan 先看模型下线公告，Coding Plan 看模型下线公告，按量 Endpoint 看平台模型下线公告。只引用该产品公告中旧型号的具体行、时区与迁移目标，再检查较新公告行中建议迁移型号是否也在下线，给出仍受支持的下一站；不能把某套餐的日期套到另一产品。不明产品时给条件化结论。 - 这类问题的最终目标是迁移判断，不是公共模型选型：先加载对应
arkcli-plans/arkcli-infer-endpointowning Skill；公告回答后，才按用户实际配置区分auto/ark-code-latest、写死的 Model Name、自建ep-...。账号实时状态查询失败则明确未知，不能以公共目录状态代替。纯问公共目录生命周期才继续本 skill 的models search流程。
What ships with it
7 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.
- 17d ago Changed · +13 lines · +16 tokens per session 94b93562da35
- 28d ago Changed · +5 lines 5d164f77c8ff
- 1mo ago Changed · +20 lines · +150 tokens per session 251c93d5d914
- 1mo 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 (143 stars, last pushed 8d ago), licensed Apache-2.0. It adds 311 tokens to every session and 8,451 once invoked, about $0.0012 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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