Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/manhvann/codexkit/gkgnpx skills add manhvann/codexkit --skill gkggit clone --depth 1 https://github.com/manhvann/codexkitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00044 | $0.00623 |
| Opus 5 | $0.00022 | $0.00311 |
| Sonnet 5 | $0.00009 | $0.00125 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade C, and why
ck:gkg scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://gitlab.com/gitlab-org/rust/knowledge-graph/-/raw/main/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://gitlab.com/gitlab-org/rust/knowledge-graph/-/raw/main/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- Index project:
gkg index - Start server:
gkg server start - Use MCP tool
get_referencesor HTTP API/api/graph/search
Impact Analysis
- Index affected repos
- Query
get_referencesfor changed symbols - 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 -
gkg index,gkg server,gkg remove,gkg clean - MCP Tools - 7 tools for AI integration
- HTTP API - REST endpoints for querying
- Language Details - Supported features per language
Key Constraints
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 92 lines · 44 tokens per session scan C be272e2c9d70
ck:gkg is a skill published in the GitHub repository manhvann/codexkit (88 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 623 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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android-pentest
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