web_search_xray is an agent skill for running broad, source-backed web research with explicit query planning, source triage, and evidence-quality checks.
It is packaged for both:
SKILL.md skill directoryThe skill helps an agent:
The core workflow intentionally preserves the structure of maratha_web_search, then adds stricter "xray" behavior for evidence quality and answer auditability.
For personal use, copy or symlink the skill into ~/.claude/skills/web_search_xray:
mkdir -p ~/.claude/skills
ln -s /path/to/web_search_xray/skills/web_search_xray ~/.claude/skills/web_search_xray
For one repository only, copy or symlink it into .claude/skills/web_search_xray inside that project:
mkdir -p .claude/skills
ln -s /path/to/web_search_xray/skills/web_search_xray .claude/skills/web_search_xray
Once installed as a standalone skill, invoke it as:
/web_search_xray
Add this repository as a marketplace:
/plugin marketplace add marathan24/web_search_xray
Install the plugin:
/plugin install web_search_xray@web_search_xray
When installed as a plugin, invoke it as:
/web_search_xray:web_search_xray
Install the published skill directly from the skill folder:
$skill-installer install https://github.com/marathan24/web_search_xray/tree/main/skills/web_search_xray
.
├── .claude-plugin/marketplace.json
├── AGENTS.md
├── README.md
└── skills/web_search_xray/
├── SKILL.md
└── agents/openai.yaml
Search the web for the latest changes to the X API follows endpoints and summarize the official docs first.Research the best public sources on reward hacking in RL and tell me where the definitions disagree.Find the strongest primary sources on a new LLM release and separate stated facts from inferences.Own this plugin?
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npx claudepluginhub marathan24/web_search_xray --plugin web_search_xrayWeb search and research capabilities for external context
Parallel Web Search MCP and Task API integration for Claude Code. Provides web search, content extraction, deep research, data enrichment, entity discovery (FindAll), and web monitoring.
Agent skill and CLI helpers for using RivalSearchMCP research tools from Claude Code. Includes workflows, command references, and a standalone CLI for the hosted MCP server.
Build AI applications with real-time web data using Tavily's search, extract, crawl, and research APIs.
AI-powered deep research with multi-agent source verification and structured outputs
Self-evolving deep research. Gets smarter every time you use it. Searches across channels, synthesizes cited reports, and learns which queries and platforms work best.