arangodb

arangodb is a skill for Claude Code, Codex from G1Joshi/Agent-Skills. It costs 42 tokens per session (1,042 once invoked), scanned A, original, MIT.

A database that stores key-value data, JSON documents, and graph relationships in one system. A graph represents entities and the links between them, such as users connected to orders.

In plain words
What is it for?
Use it for document storage, graph traversal, combined graph-and-vector search, and services that need multiple data models.
Why use it?
It can support several data shapes and relationship-heavy queries without maintaining separate database systems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for document storage, graph traversal, combined graph-and-vector search, and services that need multiple data models.

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Install with agentmods
npx agentmods add skills/g1joshi/agent-skills/arangodb
Install

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.

Any agent
npx skills add G1Joshi/Agent-Skills --skill arangodb
Clone the repo
git clone --depth 1 https://github.com/G1Joshi/Agent-Skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for arangodb

README.md
[![agentmods](https://agentmods.dev/badge/skills/g1joshi/agent-skills/arangodb/github.svg)](https://agentmods.dev/skills/g1joshi/agent-skills/arangodb)
Your own site
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/arangodb"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/arangodb/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for arangodb

Your own site · 80×15
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/arangodb"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/arangodb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.01042
Opus 5.5 $0.00017 $0.00417
Sonnet 5.5 $0.00008 $0.00208
Haiku 4.5 $0.00004 $0.00104

Measured 25d ago against content hash 17d4c048a296, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

arangodb scanned grade A with 0 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 25d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/databases/arangodb/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ArangoDB

ArangoDB is a native multi-model database. It allows you to store data as Key/Values, JSON Documents, and Graphs, and query them all with a single language (AQL).

When to Use

  • Multi-Model Data Architectures: Unifying document (JSON), graph, and key-value models into a single query engine with ACID transactions.
  • Complex Graph Traversals: Executing high-performance depth-first and breadth-first traversals with edge attributes in AQL.
  • Unified Knowledge Graphs: Storing entity metadata as rich documents while querying interconnected relationships as graphs.
  • Search & Full-Text Integration: Leveraging ArangoSearch for integrated full-text indexing, BM25 scoring, and geo-spatial queries.

Quick Start

// AQL (ArangoDB Query Language) - SQL-like
FOR u IN users
  FILTER u.active == true
  FOR order IN OUTBOUND u orders
    RETURN { user: u.name, order: order.product }

Core Concepts

Multi-Model Document & Edge Collections

Documents store unstructured JSON entities; Edge collections define directed connections between documents using _from and _to attributes:

// Vertex Document (users/alice)
{ "_key": "alice", "name": "Alice Mercer", "role": "Lead Architect" }

// Edge Document (knows/edge_1)
{ "_from": "users/alice", "_to": "users/bob", "relationship": "mentor", "since": 2024 }

ArangoDB Query Language (AQL) Graph Traversal

Traverses interconnected relationship graphs up to N hops:

// 1 to 3 hops outward traversal from Alice
FOR v, e, p IN 1..3 OUTBOUND 'users/alice' GRAPH 'socialGraph'
  FILTER e.relationship == 'mentor'
  RETURN {
    colleague: v.name,
    distance: LENGTH(p.edges),
    path: p.vertices[*].name
  }

Distributed Cluster Sharding (OneShard & SmartGraphs)

Ensures interconnected graph vertices and edges are colocated on identical physical DB servers to eliminate network hop penalties:

// Creates a SmartGraph partitioned by customer tenant ID
const graph = db._createSmartGraph(
  "tenantSocialGraph",
  [{ collection: "members", from: ["users"], to: ["users"] }],
  { smartGraphAttribute: "tenantId" },
);

Read the full file on GitHub · 114 lines

Changes

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.

  1. 25d ago Changed 17d4c048a296
  2. 1mo ago Changed · +59 lines · +24 tokens per session 46a89f06e29f
  3. 1mo ago First seen · 55 lines · 18 tokens per session scan A 71fb2c85090a

Subscribe to this mod's changes

arangodb is a skill published in the GitHub repository G1Joshi/Agent-Skills (15 stars, last pushed 26d ago), licensed MIT. It adds 42 tokens to every session and 1,042 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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