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SKILL unreviewed MIT Self-run

Ck:gkg

skill-manhvann-codexkit-gkg · by manhvann

Semantic code analysis with GitLab Knowledge Graph. Use for go-to-definition, find-usages, impact analysis, architecture visualization. Supports Ruby, Java, Kotlin, Python, TypeScript/JavaScript.

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Install

$ agentstack add skill-manhvann-codexkit-gkg

Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • • Prompt-injection patterns
  • • Secret / credential exfiltration
  • • Dangerous shell & filesystem operations
  • • Untrusted network calls
  • • Known-malicious package signatures
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • ● Network access Used
  • ✓ 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.

View the full security report →

Reliability & compatibility

— Not yet reviewed
0 installs to date
— no reviews yet
● today

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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About

GitLab Knowledge Graph (GKG)

Semantic code analysis engine using AST parsing and KuzuDB graph database. Enables IDE-like code navigation for AI assistants.

Status: Public beta | Requires: Git repository | Storage: ~/.gkg/

When to Use

  • Find all usages of a function/class across codebase
  • Go-to-definition for symbols
  • Impact analysis before refactoring
  • Generate architecture diagrams
  • RAG-enhanced code understanding

Use repomix instead for: quick context dumps, any-language support, remote repos, token counting.

Quick Start

# Check installation
gkg --version

# Index current repo
gkg index

# Start server (for API/MCP)
gkg server start

# Stop before re-indexing
gkg server stop

Installation

# macOS/Linux
curl -fsSL https://gitlab.com/gitlab-org/rust/knowledge-graph/-/raw/main/install.sh | bash

# Windows (PowerShell)
irm https://gitlab.com/gitlab-org/rust/knowledge-graph/-/raw/main/install.ps1 | iex

Core Workflows

Index and Query

gkg index /path/to/project --stats
gkg server start
# Query via HTTP API at http://localhost:27495

Find Symbol Usages

  1. Index project: gkg index
  2. Start server: gkg server start
  3. Use MCP tool get_references or HTTP API /api/graph/search

Impact Analysis

  1. Index affected repos
  2. Query get_references for changed symbols
  3. Review all call sites before refactoring

Language Support

| Language | Cross-file Refs | |----------|-----------------| | Ruby | ✅ Full | | Java | ✅ Full | | Kotlin | ✅ Full | | Python | 🚧 In progress | | TypeScript | 🚧 In progress | | JavaScript | 🚧 In progress |

References

  • [CLI Commands](./references/cli-commands.md) - gkg index, gkg server, gkg remove, gkg clean
  • [MCP Tools](./references/mcp-tools.md) - 7 tools for AI integration
  • [HTTP API](./references/http-api.md) - REST endpoints for querying
  • [Language Details](./references/language-support.md) - Supported features per language

Key Constraints

  • Must stop server before re-indexing
  • Requires initialized Git repository
  • Languages not connected across repos (yet)
  • TS/JS/Python cross-file refs incomplete

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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