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gigaxity-deep-research

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces time-to-insight for complex technical decisions by synthesizing cited web research directly into development workflows, cutting manual research cycle…

Open-source deep research MCP. Qwen3-30B-A3B-Thinking via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor, Hermes and any MCP-compatible agent.

46 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces time-to-insight for complex technical decisions by synthesizing cited web research directly into development workflows, cutting manual research cycles and improving decision confidence with source attribution.

Engineering teams using Claude, Cursor, or MCP-compatible agents needing researched context on architecture, dependency, or technology choices.

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https://github.com/yoloshii/gigaxity-deep-research

By yoloshii

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install yoloshii/gigaxity-deep-research

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Research complex architectural patterns and synthesize findings into code design decisions
CostFree

Trust Signals Auto-scanned

Stars46Last updated2026-07-31LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-01 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 46 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 46 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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