agentmods.dev

vs-product-qa

A reference for answering questions about Viking AI Search, a search service, and its CLI, API, authentication, settings, and troubleshooting.

In plain words
What is it for?
It helps answer questions about search concepts, configuration, API usage, authentication, quotas, billing, and local CLI errors.
Why use it?
It reduces the risk of making up product behavior by grounding answers in the installed CLI or official Volcengine documentation.

Skill for Claude CodeCodex

1.2k +1 7d ago A scan 51 tokens original Apache-2.0
View the source file volcengine/SearchCLI
Install

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.

agentmods
npx agentmods add skills/volcengine/searchcli/vs-product-qa
Any agent
npx skills add volcengine/SearchCLI --skill vs-product-qa
Clone the repo
git clone --depth 1 https://github.com/volcengine/SearchCLI

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,141 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.04141
Opus 5 $0.00026 $0.02070
Sonnet 5 $0.00010 $0.00828
Haiku 4.5 $0.00005 $0.00414

Measured 3d ago against content hash 1fd3b5cb799c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vs-product-qa 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 3d 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.

skills/vs-product-qa/SKILL.md · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

vs-product-qa

When to Use

Use this skill when the user asks grounded questions about Viking AI Search, including:

  • product concepts such as scene, dataset, hybrid search, ANN, rerank, or agentic search
  • capability or configuration questions such as recommendation setup, boost/bury, or rerank enablement
  • API and authentication questions such as AK/SK usage, field semantics, or error meaning
  • CLI usage and local troubleshooting such as vs item apply, vs auth status, or local stack traces
  • console path, billing, pricing, or quota questions

Do not use this skill for workflow execution. Delegate instead:

  • sign-up, purchase, payment, or first AK/SK setup -> vs-user-onboarding
  • multi-modal dataset creation and ingestion (records with image/video URLs + text) -> vs-item-onboarding
  • web crawling for content ingestion -> vs-crawler
  • search tuning suggestions or execution -> vs-search-tuning

If another skill is active and the user asks a product question outside that skill's scripted scope, answer with vs-product-qa, then return to the original workflow after the answer is complete.

Preconditions

  • The installed vs CLI is available when answering CLI behavior, local auth, LLM configuration, or local error questions.
  • This skill includes a bundled internal documentation helper under references/volcengine-documentation/SKILL.md.
  • Official Volcengine documentation must be fetched through that bundled helper when answering product concepts, API field semantics, purchase, billing, quota, or console UI path questions.
  • The agent must classify the question before choosing a source.
  • If no selected source can answer, explicitly say the point is not covered by the CLI output or official documentation checked in this turn, then suggest support-ticket / oncall escalation.

Core Principle

Treat the user's installed vs CLI as authoritative for how vs behaves on that machine. For CLI behavior, always check the real CLI first. If CLI output conflicts with documentation, trust the CLI and state that the documentation may be stale.

Read the full file on GitHub · 273 lines

Files

What ships with it

60 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.

Changes

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.

  1. 3d ago First seen · 273 lines · 51 tokens per session scan A 1fd3b5cb799c

Subscribe to this mod's changes

vs-product-qa is a skill published in the GitHub repository volcengine/SearchCLI (1,175 stars, last pushed 7d ago), licensed Apache-2.0. It adds 51 tokens to every session and 4,141 once invoked, about $0.0003 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.

agent-toolsai-agentsai-searchai-search-engineautomationclishared
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