vs-chat

A chat-testing tool for a conversational search application. It sends messages, keeps multi-message sessions connected, and checks what the search system retrieves and returns.

In plain words
What is it for?
Use it to test first messages and follow-up questions, inspect retrieval results, and verify session continuity in the Viking Chat environment.
Why use it?
It helps reveal whether search was triggered, whether useful results were found, and whether the application remembers earlier messages in a conversation.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 554 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 $0.00022 $0.00554
Opus 5 $0.00011 $0.00277
Sonnet 5 $0.00004 $0.00111
Haiku 4.5 $0.00002 $0.00055

Measured yesterday against content hash 05588dc65a20, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vs-chat 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 yesterday.

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-chat/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Viking Chat

When to Use

Use this skill for conversational search requests, session continuity, multi-turn checks, retrieval verification, and response inspection.

Preconditions

  • an application-id is available
  • the application is preferably already ready

Commands

  • chat run: send a conversational search request with full payload control
  • app status / app diagnose: confirm readiness before testing chat behavior

Workflow

  1. Check app status first and confirm the application is ready
  2. Use chat run for the first message
  3. If you need multi-turn behavior, pass session-id explicitly
  4. Use the full request payload when you need tighter control over the request
  5. If you request --format json, parse one JSON document; do not treat the output as NDJSON
  6. Summarize whether retrieval was triggered, whether relevant items were returned, and whether session continuity is preserved

Customer Environment Principle

  • In customer environments, assume repository source code is unavailable.
  • Execute tasks using only the installed skills, the packaged vs CLI surface (--help, command output, and observed runtime behavior), and explicit user-provided information.
  • Do not rely on reading local repository source files, generated repo snapshots, or implementation details to decide runtime actions.
  • If the installed CLI behavior conflicts with a skill, trust the installed CLI behavior first.
  • If the skills and the packaged CLI still do not provide enough information to proceed safely, stop and ask the user instead of searching source code.

Constraints

  • Before executing any concrete vs ... command in this chat workflow, first consult vs-product-qa to verify the current command surface, required flags, payload fields, input format, and allowed values. Only after that check may you finalize parameters and run the command.
  • vs chat ... is the conversational search runtime surface
  • When debugging parsing issues, inspect the raw JSON response first instead of adding an extra line-oriented parser
  • If a command failure or user follow-up turns into a product concept, capability, API field, console UI path, purchase, billing, or general troubleshooting question outside this chat workflow, temporarily hand off to vs-product-qa; return to this workflow only after the grounded product answer is complete.

Read the full file on GitHub · 50 lines

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. yesterday First seen · 50 lines · 22 tokens per session scan A 05588dc65a20

Subscribe to this mod's changes

vs-chat is a skill published in the GitHub repository volcengine/SearchCLI (1,176 stars, last pushed 5d ago), licensed Apache-2.0. It adds 22 tokens to every session and 554 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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