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/gemini-cli-extensions/data-agent-kit-starter-pack/bigquery-graphnpx skills add gemini-cli-extensions/data-agent-kit-starter-pack --skill bigquery-graphgit clone --depth 1 https://github.com/gemini-cli-extensions/data-agent-kit-starter-packWhat 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 | $0.00300 |
| Opus 5 | $0.00022 | $0.00150 |
| Sonnet 5 | $0.00009 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
bigquery-graph 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 3d 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
BigQuery Graph Analytics
BigQuery supports Graph Analytics through property graph queries (using GQL) and semantic graphs. Property graphs allow you to query topology, node/edge connections, and graph relationships directly in BigQuery SQL.
Reference Directory
- GQL Querying: graph_queries.md - Standard GQL syntax and pattern matching.
- Semantic Queries: semantic_queries.md - Semantic graph operations and expand functions.
- Schema Best Practices: best_practices.md - Performance and indexing best practices for graph schemas.
- DDL Reference: ddl_reference.md -
CREATE PROPERTY GRAPHDDL syntax. - Feature Parity & Limitations: feature_parity.md - GQL limitations and feature parity.
- Graph Schema Advisor: graph_schema_ddl_advisor.md - Assistant guidelines for designing graph schemas.
What ships with it
6 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.
- 3d ago First seen · 22 lines · 44 tokens per session scan A 92bfd5659463
bigquery-graph is a skill published in the GitHub repository gemini-cli-extensions/data-agent-kit-starter-pack (177 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 300 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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