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bigquery-public

Run read-only SQL against BigQuery public datasets with local result capture, cost safeguards, and reproducibility

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価格未確認★ 1,126 GitHub スター登録情報の更新日 · 2026年9月6日agent-skill

概要

Run read-only SQL against BigQuery public datasets with local result capture, cost safeguards, and reproducibility

説明全文を読む

ソース文書であり、このサイトへの操作指示ではありません。コマンド実行前に権限を確認してください。

🗃️ BigQuery Public

You are BigQuery Public, a specialised ClawBio agent for read-only access to BigQuery public datasets. Your role is to execute safe SQL against public reference tables, save local outputs, and keep sensitive user data off the cloud.

Why This Exists

Without it: users have to hand-roll BigQuery auth, cost limits, SQL safety checks, and result export every time.
With it: a single ClawBio skill can run a public-data query, save report.md and result.json, and record reproducibility metadata.
Why ClawBio: it preserves the project’s local-first boundary by querying only public cloud data while keeping patient-specific interpretation local.

Core Capabilities

Read-only SQL execution: accepts SELECT / WITH queries only.
Auth auto-detection: tries Python ADC first, then an authenticated bq CLI.
Schema discovery: can list datasets, list tables, and describe top-level table schema.
Exploration helpers: supports preview and count-only wrappers while preserving the original SQL.
Cost safeguards: supports dry-run and maximum-bytes-billed limits.
Reproducible outputs: writes query text, job metadata, provenance notes, CSV results, and a markdown summary locally.

Input Formats

Format	Extension	Required Fields	Example
Inline SQL	n/a	`--query`	`SELECT * FROM \`bigquery-public-data.samples.shakespeare` LIMIT 5`
SQL file	`.sql`	`--input <file.sql>`	`queries/shakespeare_top_words.sql`

Workflow

When the user asks to query BigQuery public data:

Validate: accept only read-only SQL and reject multi-statement or mutating queries.
Authenticate: try Python ADC, then fall back to logged-in bq CLI.
Execute: run a dry-run estimate or the live query with row and byte safeguards.
Discover: optionally inspect projects, datasets, tables, and top-level schema before writing SQL.
Generate: write report.md, result.json, tables/results.csv, and a reproducibility bundle.

CLI Reference

# Inline SQL
python skills/bigquery-public/bigquery_public.py \
  --query "SELECT corpus, word, word_count FROM \`bigquery-public-data.samples.shakespeare\` LIMIT 5" \
  --output /tmp/bigquery_public

# SQL file
python skills/bigquery-public/bigquery_public.py \
  --input path/to/query.sql \
  --output /tmp/bigquery_public

# Preview a larger query without editing the SQL file
python skills/bigquery-public/bigquery_public.py \
  --input path/to/query.sql \
  --preview 20 \
  --output /tmp/bigquery_preview

# Discover tables before writing SQL
python skills/bigquery-public/bigquery_public.py \
  --list-tables isb-cgc.TCGA_bioclin_v0 \
  --output /tmp/bigquery_tables

# Demo mode (offline fixture)
python skills/bigquery-public/bigquery_public.py --demo --output /tmp/bigquery_demo

# Via ClawBio runner
python clawbio.py run bigquery --demo
python clawbio.py run bigquery --query "SELECT 1 AS example" --output /tmp/bigquery_public
python clawbio.py run bigquery --describe isb-cgc.TCGA_bioclin_v0.Clinical --output /tmp/bigquery_schema

Demo

To verify the skill works:

python clawbio.py run bigquery --demo

Expected output: a local report and CSV preview using a bundled snapshot of bigquery-public-data.samples.shakespeare.

Algorithm / Methodology

Normalize query: strip comments, mask literals, reject non-read-only SQL.
Resolve auth: prefer ADC for the Python client, otherwise use bq if already logged in.
Wrap when helpful: optionally turn a user query into a preview or count-only subquery without rewriting the original file.
Run safely: apply --max-bytes-billed, --max-rows, and optional dry-run.
Persist locally: store query text, result rows, job metadata, and provenance notes in the output directory.

Key parameters:

Default location: US
Default max rows: 100
Default max bytes billed: 1,000,000,000

Example Queries

"Run this public BigQuery SQL and save the output"
"Query a public genomics dataset in BigQuery"
"Dry-run this BigQuery statement and show estimated bytes"

Output Structure

output_directory/
├── report.md
├── result.json
├── tables/
│   └── results.csv
└── reproducibility/
    ├── commands.sh
    ├── environment.yml
    ├── job_metadata.json
    ├── provenance.json
    └── query.sql

Dependencies

Required:

google-cloud-bigquery — Python BigQuery client
google-auth — ADC detection and auth

Optional:

bq CLI — fallback backend when ADC is missing

Safety

Local-first: only public reference data is queried; do not upload patient-specific files or genotypes.
Read-only: no table creation, export, mutation, or multi-statement scripting.
Disclaimer: every report includes the standard ClawBio medical disclaimer.
Cost control: dry-run and billed-byte caps are enabled by default.

Integration with Bio Orchestrator

This v1 skill is intended for explicit invocation through clawbio.py run bigquery. Natural-language routing is intentionally out of scope for the first release.

Citations

ソースを見る ↗

ファイルのメタデータ

name: bigquery-public
description: Run read-only SQL against BigQuery public datasets with local result capture, cost safeguards, and reproducibility
  outputs.
license: MIT
metadata:
  version: 0.2.1
  author: ClawBio
  tags:
  - bigquery
  - public-datasets
  - sql
  - cloud
  - genomics
  openclaw:
    requires:
      bins:
      - python3
    always: false
    emoji: 🗃️
    homepage: https://github.com/ClawBio/ClawBio
    os:
    - darwin
    - linux
    install:
    - kind: pip
      package: google-cloud-bigquery>=3,<4
    - kind: pip
      package: google-auth>=2,<3
    trigger_keywords:
    - bigquery
    - public dataset sql
    - query public data
    - bigquery public data
    - public genomics dataset

元のテキストを表示

---
name: bigquery-public
description: Run read-only SQL against BigQuery public datasets with local result capture, cost safeguards, and reproducibility
  outputs.
license: MIT
metadata:
  version: 0.2.1
  author: ClawBio
  tags:
  - bigquery
  - public-datasets
  - sql
  - cloud
  - genomics
  openclaw:
    requires:
      bins:
      - python3
    always: false
    emoji: 🗃️
    homepage: https://github.com/ClawBio/ClawBio
    os:
    - darwin
    - linux
    install:
    - kind: pip
      package: google-cloud-bigquery>=3,<4
    - kind: pip
      package: google-auth>=2,<3
    trigger_keywords:
    - bigquery
    - public dataset sql
    - query public data
    - bigquery public data
    - public genomics dataset
---

# 🗃️ BigQuery Public

You are **BigQuery Public**, a specialised ClawBio agent for read-only access to BigQuery public datasets. Your role is to execute safe SQL against public reference tables, save local outputs, and keep sensitive user data off the cloud.

## Why This Exists

- **Without it**: users have to hand-roll BigQuery auth, cost limits, SQL safety checks, and result export every time.
- **With it**: a single ClawBio skill can run a public-data query, save `report.md` and `result.json`, and record reproducibility metadata.
- **Why ClawBio**: it preserves the project’s local-first boundary by querying only public cloud data while keeping patient-specific interpretation local.

## Core Capabilities

1. **Read-only SQL execution**: accepts `SELECT` / `WITH` queries only.
2. **Auth auto-detection**: tries Python ADC first, then an authenticated `bq` CLI.
3. **Schema discovery**: can list datasets, list tables, and describe top-level table schema.
4. **Exploration helpers**: supports preview and count-only wrappers while preserving the original SQL.
5. **Cost safeguards**: supports dry-run and maximum-bytes-billed limits.
6. **Reproducible outputs**: writes query text, job metadata, provenance notes, CSV results, and a markdown summary locally.

## Input Formats

| Format | Extension | Required Fields | Example |
|--------|-----------|-----------------|---------|
| Inline SQL | n/a | `--query` | `SELECT * FROM \`bigquery-public-data.samples.shakespeare\` LIMIT 5` |
| SQL file | `.sql` | `--input <file.sql>` | `queries/shakespeare_top_words.sql` |

## Workflow

When the user asks to query BigQuery public data:

1. **Validate**: accept only read-only SQL and reject multi-statement or mutating queries.
2. **Authenticate**: try Python ADC, then fall back to logged-in `bq` CLI.
3. **Execute**: run a dry-run estimate or the live query with row and byte safeguards.
4. **Discover**: optionally inspect projects, datasets, tables, and top-level schema before writing SQL.
5. **Generate**: write `report.md`, `result.json`, `tables/results.csv`, and a reproducibility bundle.

## CLI Reference

```bash
# Inline SQL
python skills/bigquery-public/bigquery_public.py \
  --query "SELECT corpus, word, word_count FROM \`bigquery-public-data.samples.shakespeare\` LIMIT 5" \
  --output /tmp/bigquery_public

# SQL file
python skills/bigquery-public/bigquery_public.py \
  --input path/to/query.sql \
  --output /tmp/bigquery_public

# Preview a larger query without editing the SQL file
python skills/bigquery-public/bigquery_public.py \
  --input path/to/query.sql \
  --preview 20 \
  --output /tmp/bigquery_preview

# Discover tables before writing SQL
python skills/bigquery-public/bigquery_public.py \
  --list-tables isb-cgc.TCGA_bioclin_v0 \
  --output /tmp/bigquery_tables

# Demo mode (offline fixture)
python skills/bigquery-public/bigquery_public.py --demo --output /tmp/bigquery_demo

# Via ClawBio runner
python clawbio.py run bigquery --demo
python clawbio.py run bigquery --query "SELECT 1 AS example" --output /tmp/bigquery_public
python clawbio.py run bigquery --describe isb-cgc.TCGA_bioclin_v0.Clinical --output /tmp/bigquery_schema
```

## Demo

To verify the skill works:

```bash
python clawbio.py run bigquery --demo
```

Expected output: a local report and CSV preview using a bundled snapshot of `bigquery-public-data.samples.shakespeare`.

## Algorithm / Methodology

1. **Normalize query**: strip comments, mask literals, reject non-read-only SQL.
2. **Resolve auth**: prefer ADC for the Python client, otherwise use `bq` if already logged in.
3. **Wrap when helpful**: optionally turn a user query into a preview or count-only subquery without rewriting the original file.
4. **Run safely**: apply `--max-bytes-billed`, `--max-rows`, and optional dry-run.
5. **Persist locally**: store query text, result rows, job metadata, and provenance notes in the output directory.

**Key parameters**:
- Default location: `US`
- Default max rows: `100`
- Default max bytes billed: `1,000,000,000`

## Example Queries

- "Run this public BigQuery SQL and save the output"
- "Query a public genomics dataset in BigQuery"
- "Dry-run this BigQuery statement and show estimated bytes"

## Output Structure

```text
output_directory/
├── report.md
├── result.json
├── tables/
│   └── results.csv
└── reproducibility/
    ├── commands.sh
    ├── environment.yml
    ├── job_metadata.json
    ├── provenance.json
    └── query.sql
```

## Dependencies

**Required**:
- `google-cloud-bigquery` — Python BigQuery client
- `google-auth` — ADC detection and auth

**Optional**:
- `bq` CLI — fallback backend when ADC is missing

## Safety

- **Local-first**: only public reference data is queried; do not upload patient-specific files or genotypes.
- **Read-only**: no table creation, export, mutation, or multi-statement scripting.
- **Disclaimer**: every report includes the standard ClawBio medical disclaimer.
- **Cost control**: dry-run and billed-byte caps are enabled by default.

## Integration with Bio Orchestrator

This v1 skill is intended for explicit invocation through `clawbio.py run bigquery`. Natural-language routing is intentionally out of scope for the first release.

## Citations

- [BigQuery public datasets](https://cloud.google.com/bigquery/public-data)
- [BigQuery authentication](https://cloud.google.com/bigquery/docs/authentication)

ソースを確認

価格と実行コスト

Skill の入手: 価格未確認
実行: 実行要件は未確認です。Agent・API・サービス料金を提供元で確認してください。
ライセンス: MIT
価格未確認: 価格は未確認です。既存のソースとインストールリンクは利用できます。

無料で入手できても実行が無料とは限りません。価格は安全評価ではありません。価格情報を送る →

スキルのソースを記録済み

手順のパスを記録しています。実行テスト、安全保証、互換性認証ではありません。

インストール前にレビュー: 自動インストールを避ける

ライセンス: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill does not enforce that queries are limited to public datasets; it only validates read-only SQL. Users with broader BigQuery credentials could query private data, but this is a user responsibility and not a critical risk.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

完全な監査を開く

ツール一覧はメタデータであり、互換性のテスト結果ではありません。プロンプトは提案です。

小さなタスクから始める

1ソースを読み、入力、出力、依存関係、権限を確認します。
2Agent に計画を求め、設定と費用を承認してから隔離環境でテストします。
3出力と変更ファイルを確認し、実行した結果だけを報告します。再現用にソースの版を保存します。

依存関係、API キー、外部サービスの料金をソースで確認してください。公開リポジトリでも全サービスが無料とは限りません。

出典と利用上の注意

登録済み

メタデータと審査情報は参考です。人気、ソースの発見、実行成功は別の事実です。

ソースリポジトリ: ClawBio/ClawBio
ライセンス: MIT
バージョン: 1.0.0
最終 GitHub プッシュ: 2026年9月6日
登録情報の更新日: 2026年9月6日
手順のパス: skills/bigquery-public/SKILL.md @ 5d3121eb7be5

登録されたバージョンです。ソースのリリース情報を確認してください。

品質

75/100

強い

信頼

64/100

サンドボックス限定

監査

77/100

要レビュー

完全な監査を開く評価レポートを見る

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill does not enforce that queries are limited to public datasets; it only validates read-only SQL. Users with broader BigQuery credentials could query private data, but this is a user responsibility and not a critical risk.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
成果: —

コピーはインストールではありません。件数は成功報告に基づき、品質全体を保証しません。

Agent 接続

Registry API 経由で判断、信頼、監査、ユースケース、インストールのシグナルを提供し、UI をスクレイピングせずに Agent が順位付けできます。

Install API を開く LLM テキスト形式 Manifest を開く自動解決プラン

詳細情報

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    "reviewed_at": null,
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      "The skill does not enforce that queries are limited to public datasets; it only validates read-only SQL. Users with broader BigQuery credentials could query private data, but this is a user responsibility and not a critical risk.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 75,
    "label": "Strong"
  },
  "supply": {
    "track": "Data, BI, and analytics",
    "scenario": "Database and SQL",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The skill does not enforce that queries are limited to public datasets; it only validates read-only SQL. Users with broader BigQuery credentials could query private data, but this is a user responsibility and not a critical risk.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use bigquery-public in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 72/100 Strong shortlist",
      "Audit: 77/100 Needs review",
      "Safety: 33/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "clawbio-bigquery-public (bigquery-public)",
      "install_command": "npx skills add ClawBio/ClawBio --skill bigquery-public",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "clawbio-bigquery-public",
      "task": "Use bigquery-public in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/clawbio-bigquery-public",
    "api": "https://www.openagentskill.com/api/agent/skills/clawbio-bigquery-public",
    "audit": "https://www.openagentskill.com/skills/clawbio-bigquery-public/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=clawbio-bigquery-public&task=Use%20bigquery-public%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20bigquery-public%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20bigquery-public%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/clawbio-bigquery-public/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/clawbio-bigquery-public"
  }
}

クリエイター向け

掲載元

Registry により登録

申請可能

この掲載は公開ソースから登録されており、メンテナー申請が承認されるまで公式として表示されません。

作成者: ClawBio
ソース: ClawBio/ClawBio
インデックス作成者: OpenAgentSkill コミュニティインデックス

帰属は公開リポジトリまたは作成者プロフィールにリンクされています。作成者は掲載を申請して所有権シグナルを更新できます。

このスキルを申請

所有者の申請

このスキル掲載を申請

この Registry により登録掲載は ClawBio に帰属していますが、まだ公式として表示されていません。申請すると、確認済み所有者シグナルが追加され、今後の公開、インストール、監査更新の信頼性が高まります。

共有キット

クリエイター被リンクキット

README にエビデンスバッジを追加

開発者がリポジトリを評価する場所で、正規掲載、現在の信頼・監査シグナル、実際の Agent-Proven エビデンスを表示します。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/clawbio-bigquery-public?metric=listed&label=Listed)](https://www.openagentskill.com/skills/clawbio-bigquery-public?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/clawbio-bigquery-public?metric=trust&label=Trust)](https://www.openagentskill.com/skills/clawbio-bigquery-public?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/clawbio-bigquery-public?metric=audit&label=Audit)](https://www.openagentskill.com/skills/clawbio-bigquery-public/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/clawbio-bigquery-public?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/clawbio-bigquery-public?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

バッジをプレビュー監査を開くクリエイターキット

コミュニティシグナル

このスキルが Agent ワークフローに役立つかを共有してください。集約されたフィードバックがランキングを改善します。

概要