Install
$ agentstack add skill-liustack-modsearch-modsearch ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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 ""
# or via npx
npx @liustack/modsearch -q ""
Optional:
modsearch -q "" -o -p -m --max-results --prompt ""
Workflow
- Run
modsearchwith the user query. - Parse JSON output.
- Use
summaryanditemsas evidence for reasoning or for selecting URLs to fetch. - If
uncertaintyis non-empty, explicitly communicate ambiguity to the user.
Output Contract
summary: high-level synthesis of search findingsitems: 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
rawTextand 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 "" -p tavily
# or via npx
npx @liustack/modsearch -q "" -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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: liustack
- Source: liustack/modsearch
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.