modsearch（modsearch 命令行）

ModSearch - Search Bridge Skill

Use this skill when:

• User asks for web search, latest updates, or source-backed answers
• Current model/toolchain cannot perform direct search reliably
• You need structured search results before downstream summarization/fetch

Prerequisites

modsearch --version

If using the default provider (gemini-cli), ensure Gemini CLI is installed and authenticated:

gemini --version

If missing:

npm install -g @google/gemini-cli
gemini

Or run directly with npx (no global install required):

npx @google/gemini-cli          # launch interactive auth

Command

modsearch -q "<query>"
# or via npx
npx @liustack/modsearch -q "<query>"

Optional:

modsearch -q "<query>" -o <output-json-path> -p <provider> -m <model> --max-results <n> --prompt "<extra constraints>"

Workflow

1. Run modsearch with the user query.
2. Parse JSON output.
3. Use summary and items as evidence for reasoning or for selecting URLs to fetch.
4. If uncertainty is non-empty, explicitly communicate ambiguity to the user.

Output Contract

• summary: high-level synthesis of search findings
• items: normalized list (title, url, snippet, source, published_at, relevance)
• uncertainty: caveats, missing data, or confidence risks

Detailed schema: references/output-schema.md

Failure Handling

• If provider command fails (missing auth, quota, network, binary not found), report exact error and suggest provider setup checks.
• If JSON is partially malformed, keep rawText and continue with best-effort extraction.

Tavily Provider

To use the Tavily search provider, set the TAVILY_API_KEY environment variable:

export TAVILY_API_KEY="tvly-YOUR_API_KEY"

Then run with --provider tavily (or -p tavily):

modsearch -q "<query>" -p tavily
# or via npx
npx @liustack/modsearch -q "<query>" -p tavily

Get your API key at https://app.tavily.com (1,000 free credits/month).

Implementation Note

v1 uses Gemini CLI as the default provider (gemini -p with JSON output mode). The architecture is provider-extensible and can support any search-capable model or service provider in future versions.