hugegraph-ai connects the HugeGraph graph platform with artificial intelligence tools, including large language models, graph retrieval, knowledge-graph construction, and graph machine learning. It is intended for developers building applications that query, analyze, or reason over graph data through Python interfaces and related modules.
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 skills add apache/hugegraph-ai --skill hugegraph-query-analystgit clone --depth 1 https://github.com/apache/hugegraph-aiWrote 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.
[](https://agentmods.dev/skills/apache/hugegraph-ai/hugegraph-query-analyst)<a href="https://agentmods.dev/skills/apache/hugegraph-ai/hugegraph-query-analyst"><img src="https://agentmods.dev/badge/skills/apache/hugegraph-ai/hugegraph-query-analyst/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.
<a href="https://agentmods.dev/skills/apache/hugegraph-ai/hugegraph-query-analyst"><img src="https://agentmods.dev/badge/skills/apache/hugegraph-ai/hugegraph-query-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.00329 |
| Opus 5.5 | $0.00020 | $0.00132 |
| Sonnet 5.5 | $0.00010 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
hugegraph-query-analyst 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 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.
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.
What it actually says
HugeGraph Query Analyst
Tool Routes
| Goal | Tool |
|---|---|
| Inspect schema, labels, properties, or edge directions | inspect_graph_tool(include_raw_schema=false) or inspect_graph_tool(include_raw_schema=true) |
| Generate Gremlin from natural language | generate_gremlin_tool(query, execute=false) |
| Answer a natural-language graph question | Inspect schema, then use query_graph_data_tool for supported bounded queries |
| Execute user-provided Gremlin | Unavailable: Raw Gremlin execution returns FEATURE_DISABLED, including in admin mode |
| Generate only, without execution | generate_gremlin_tool(query, execute=false) |
Order
Need schema: inspect_graph_tool
Natural-language query: inspect_graph_tool -> query_graph_data_tool
Existing Gremlin: explain it; translate supported queries into query_graph_data_tool arguments
Structured query and plan lifecycle tools require the default core toolset. For a legacy deployment, enable HUGEGRAPH_MCP_TOOLSET=core and restart before using them.
These skills describe current source. Published 1.7.1 uses v2_core / v1; see the migration guide.
What ships with it
1 file 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 Changed · +2 lines b6fcc126e1c4
- 19d ago First seen · 28 lines · 49 tokens per session scan A d2911ce796b6
hugegraph-query-analyst is a skill published in the GitHub repository apache/hugegraph-ai (144 stars, last pushed 3d ago), licensed Apache-2.0. It adds 49 tokens to every session and 329 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 2026-09-27.
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