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gograph

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Provides AI agents and developers deterministic code understanding without external APIs, enabling accurate refactoring, impact analysis, and architectural d…

Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol search, and more.

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

Provides AI agents and developers deterministic code understanding without external APIs, enabling accurate refactoring, impact analysis, and architectural decisions on Go codebases while maintaining data privacy.

Go teams integrating AI-assisted development tools requiring local code intelligence and change impact visibility.

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https://github.com/ozgurcd/gograph

By ozgurcd

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
brew install ozgurcd/tap/gograph && gograph build . --precise && gograph add-claude-plugin

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

First thing to try

After installing, paste this into Claude:

Help me find all functions calling a specific Go function to assess code impact
PrerequisitesHomebrew (macOS/Linux); a Go repository to indexCostFree

Trust Signals Auto-scanned

Stars209Contributors6Last updated2026-08-16LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-18 · scanner v1

Community Pulse Growing

Discussed on Hacker News

3 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 186 GitHub stars; contributors unknown; last commit 2d 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
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 186 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

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