スキル datadata-api
📦

datadata-api

コンテンツリビジョン r1 高リスク ⚙️ 外部コマンド🌐 ネットワークアクセス📁 ファイルシステムへのアクセス🔑 環境変数

Datadata ソースをクエリ

チームには、カスタム API 呼び出しを構築せずに Datadata ソースを調査する、より安全な方法が必要です。このスキルは、メタデータ、SQL 実行、エクスポート、データスペースのテーブル管理のためのガイド付き CLI ワークフローを提供します。

対応: Claude Codex Code(CC)
⚠️ 38 不十分

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト
Review the Skillstore skill "datadata-api" from https://skillstore.io/skills/datadata-team-datadata-api.md and its manifest at https://skillstore.io/api/skills/datadata-team-datadata-api/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/datadata-team-datadata-api.md 署名済み manifest GET /api/skills/datadata-team-datadata-api/manifest 署名済み lockfile GET /api/skills/datadata-team-datadata-api/lockfile

テストする

「datadata-api」を使用しています。 顧客データソースを Datadata で検索してください。

期待される結果:

ユーザー確認のために、名前、所有者、可視性、ソースタイプを含む、一致するソースの番号付きリスト。

「datadata-api」を使用しています。 売上サマリークエリを実行し、結果を取得してください。

期待される結果:

実行 ID、保存されたファイルパス、形式、バイト数、行数、推奨されるプレビューコマンド。

「datadata-api」を使用しています。 自分の ducklake データスペースに products テーブルを作成してください。

期待される結果:

テーブルが作成されたことを示す簡潔な確認と、それに続く次の安全な挿入または説明アクション。

セキュリティ監査

高リスク
v4 • 2026/7/6 バージョン別レポートを開く

The skill is Datadata-focused and I found no prompt injection or hidden payloads. Most static alerts are false positives from markdown backticks, Chinese documentation, placeholders, and Datadata resource IDs. Confirmed issues involve authenticated network use, local credential storage, API key exposure in device-flow output, broad default permissions, and local result-file writes.

7
スキャンされたファイル
2,698
解析済み行数
46
レビュー項目
0
誤検知を無視

確認済みのセキュリティ上の懸念 (3)

高
scripts/datadata_query.py:600-611scripts/datadata_query.py:717-724
Full API Key Exposed In Device Flow Output
The device-flow completion path returns the full API key in command output, and a fallback path prints the key if saving fails. Command output can persist in logs or agent transcripts.
The code explicitly includes the key in printed output fields and fallback messages. This is direct credential disclosure, even though it occurs during a legitimate auth flow.
高
scripts/datadata_query.py:349-357scripts/datadata_query.py:571-573scripts/datadata_query.py:625-628
Broad Default Device Authorization Scope
The default device-flow key requests read, scan, replace-file, query execution, result access, and data-space write permissions for every authorization. Read-only workflows receive write-capable credentials.
The permission list is hardcoded and reused for both device-flow entry points. It includes write and replace-file scopes beyond many documented read-only tasks.
中
scripts/datadata_query.py:821-832scripts/datadata_query.py:928-932
Unconstrained Result Artifact Write Path
The result download command writes to a user-supplied output path or a default path built from the execution ID. The execution ID is not sanitized before becoming part of a filesystem path.
The code joins the execution ID into a temp filename and then opens the resolved path for writing. Legitimate IDs are likely safe, but the CLI does not enforce that format.
機能レビュー項目 (46)

これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。

高
references/api.md:530
Generic API/secret keys
print(f"获取到 API Key: {api_key}")
The API reference example prints the full API key after device-flow token exchange. This can teach users or agents to leak a newly issued credential into logs or chat transcripts.
高
references/cli.md:20
Hidden file in home directory
3. `~/.config/datadata/datadata-api-skills/config.json` 配置文件
The CLI documentation describes persistent API key storage under a hidden config path. The documented 0600 permission reduces exposure, but this is still sensitive filesystem behavior.
高
references/cli.md:33
Hidden file in home directory
5. API Key 自动保存到 `~/.config/datadata/datadata-api-skills/config.json`(Unix 权限 0600),后续直接使用,无需重复授权
The CLI documentation describes persistent API key storage under a hidden config path. The documented 0600 permission reduces exposure, but this is still sensitive filesystem behavior.
高
scripts/datadata_query.py:370
Hidden file in home directory
其他: ~/.config/datadata/datadata-api-skills
The script stores Datadata authentication material under a hidden user config directory. The Unix permission hardening helps, but persistent local secret storage remains sensitive.
高
scripts/datadata_query.py:370
Hidden file access
其他: ~/.config/datadata/datadata-api-skills
The script stores Datadata authentication material under a hidden user config directory. The Unix permission hardening helps, but persistent local secret storage remains sensitive.
高
scripts/datadata_query.py:432
Python file write/append
with open(API_KEY_CONFIG_FILE, "w", encoding="utf-8") as fh:
The script stores Datadata authentication material under a hidden user config directory. The Unix permission hardening helps, but persistent local secret storage remains sensitive.
高
scripts/datadata_query.py:27
Python environment access
default=os.environ.get("DATADATA_API_KEY") or load_api_key_from_config() or "",
The script reads DATADATA_API_KEY from the environment and uses it for authenticated requests. Environment-based secret access is expected but sensitive.
高
scripts/datadata_query.py:1152
Python environment access
env_key = os.environ.get("DATADATA_API_KEY")
The script reads DATADATA_API_KEY from the environment and uses it for authenticated requests. Environment-based secret access is expected but sensitive.
高
scripts/datadata_query.py:402
Configuration library
api_key = config.get("apiKey") if isinstance(config, dict) else None
The script reads the saved apiKey value from the local config file. This is intentional credential loading, but it handles a reusable secret.
高
scripts/datadata_query.py:1178
Configuration library
return config.get("apiKey") if isinstance(config, dict) else None
The script reads the saved apiKey value from the local config file. This is intentional credential loading, but it handles a reusable secret.
高
scripts/datadata_query.py:27
Generic API/secret keys
default=os.environ.get("DATADATA_API_KEY") or load_api_key_from_config() or "",
The script reads DATADATA_API_KEY from the environment and treats it as an authentication secret. This is legitimate configuration but still secret access.
高
scripts/datadata_query.py:33
Generic API/secret keys
parser.add_argument("--api-key", default=global_opts.api_key)
The script accepts or handles a Datadata API key as part of its authentication flow. This is expected but security-sensitive credential handling.
高
scripts/datadata_query.py:293
Generic API/secret keys
if api_key:
The script places the Datadata API key into request headers for outbound HTTP calls. This is required for authentication, but it is sensitive if the base URL is misconfigured.
高
scripts/datadata_query.py:294
Generic API/secret keys
headers["X-Datadata-Api-key"] = api_key
The script places the Datadata API key into request headers for outbound HTTP calls. This is required for authentication, but it is sensitive if the base URL is misconfigured.
高
scripts/datadata_query.py:318
Generic API/secret keys
headers={"X-Datadata-Api-key": api_key, "Accept": "*/*"},
The script places the Datadata API key into request headers for outbound HTTP calls. This is required for authentication, but it is sensitive if the base URL is misconfigured.
高
scripts/datadata_query.py:334
Generic API/secret keys
headers={"X-Datadata-Api-key": api_key, "Accept": "*/*"},
The script places the Datadata API key into request headers for outbound HTTP calls. This is required for authentication, but it is sensitive if the base URL is misconfigured.
高
scripts/datadata_query.py:397
Generic API/secret keys
with open(API_KEY_CONFIG_FILE, "r", encoding="utf-8") as fh:
The script reads or writes a persisted Datadata API key in the local config file. Local persistence is useful but creates a credential exposure surface.
高
scripts/datadata_query.py:402
Generic API/secret keys
api_key = config.get("apiKey") if isinstance(config, dict) else None
The script reads or writes a persisted Datadata API key in the local config file. Local persistence is useful but creates a credential exposure surface.
高
scripts/datadata_query.py:420
Generic API/secret keys
return api_key
The script reads or writes a persisted Datadata API key in the local config file. Local persistence is useful but creates a credential exposure surface.
高
scripts/datadata_query.py:423
Generic API/secret keys
def save_api_key_to_config(api_key: str) -> None:
The script reads or writes a persisted Datadata API key in the local config file. Local persistence is useful but creates a credential exposure surface.
高
scripts/datadata_query.py:429
Generic API/secret keys
"apiKey": api_key,
The script reads or writes a persisted Datadata API key in the local config file. Local persistence is useful but creates a credential exposure surface.
高
scripts/datadata_query.py:432
Generic API/secret keys
with open(API_KEY_CONFIG_FILE, "w", encoding="utf-8") as fh:
The script reads or writes a persisted Datadata API key in the local config file. Local persistence is useful but creates a credential exposure surface.
高
scripts/datadata_query.py:600
Generic API/secret keys
api_key = result.get("key")
The device-flow path receives and stores a newly issued Datadata API key. This is expected, but it handles a fresh reusable credential.
高
scripts/datadata_query.py:603
Generic API/secret keys
save_api_key_to_config(api_key)
The device-flow path receives and stores a newly issued Datadata API key. This is expected, but it handles a fresh reusable credential.
高
scripts/datadata_query.py:608
Generic API/secret keys
print(f"✅ 授权成功!API Key: {api_key}", file=sys.stderr)
The script can print or return the full Datadata API key in command output. That exposes a reusable credential to terminal logs, chat transcripts, or command capture.
高
scripts/datadata_query.py:611
Generic API/secret keys
"提示:可通过 export DATADATA_API_KEY='{}' 手动设置。".format(api_key),
The script can print or return the full Datadata API key in command output. That exposes a reusable credential to terminal logs, chat transcripts, or command capture.
高
scripts/datadata_query.py:696
Generic API/secret keys
api_key = result.get("key")
The device-flow path receives and stores a newly issued Datadata API key. This is expected, but it handles a fresh reusable credential.
高
scripts/datadata_query.py:709
Generic API/secret keys
save_api_key_to_config(api_key)
The device-flow path receives and stores a newly issued Datadata API key. This is expected, but it handles a fresh reusable credential.
高
scripts/datadata_query.py:718
Generic API/secret keys
"key": api_key,
The script can print or return the full Datadata API key in command output. That exposes a reusable credential to terminal logs, chat transcripts, or command capture.
高
scripts/datadata_query.py:1152
Generic API/secret keys
env_key = os.environ.get("DATADATA_API_KEY")
The script reads DATADATA_API_KEY from the environment and treats it as an authentication secret. This is legitimate configuration but still secret access.
高
scripts/datadata_query.py:1176
Generic API/secret keys
with open(API_KEY_CONFIG_FILE, "r", encoding="utf-8") as fh:
The script reads or writes a persisted Datadata API key in the local config file. Local persistence is useful but creates a credential exposure surface.
中
references/cli.md:20
Hidden file access
3. `~/.config/datadata/datadata-api-skills/config.json` 配置文件
The CLI documentation describes persistent API key storage under a hidden config path. The documented 0600 permission reduces exposure, but this is still sensitive filesystem behavior.
中
references/cli.md:33
Hidden file access
5. API Key 自动保存到 `~/.config/datadata/datadata-api-skills/config.json`(Unix 权限 0600),后续直接使用,无需重复授权
The CLI documentation describes persistent API key storage under a hidden config path. The documented 0600 permission reduces exposure, but this is still sensitive filesystem behavior.
中
scripts/datadata_query.py:459
Python file write/append
with open(DEVICE_FLOW_STATE_FILE, "w", encoding="utf-8") as fh:
The script creates or writes Datadata config, device-flow state, or result files on disk. This is intended behavior, but it can persist sensitive data or overwrite files if misused.
中
scripts/datadata_query.py:831
Python file write/append
with open(path, "wb") as fh:
The script creates or writes Datadata config, device-flow state, or result files on disk. This is intended behavior, but it can persist sensitive data or overwrite files if misused.
中
scripts/datadata_query.py:391
Python os file operations
os.makedirs(API_KEY_CONFIG_DIR, mode=0o700, exist_ok=True)
The script creates or writes Datadata config, device-flow state, or result files on disk. This is intended behavior, but it can persist sensitive data or overwrite files if misused.
低
scripts/datadata_query.py:14
Python HTTP libraries
import urllib.request
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:298
Python HTTP libraries
req = urllib.request.Request(url, data=data, headers=headers, method=method)
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:300
Python HTTP libraries
with urllib.request.urlopen(req) as resp:
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:316
Python HTTP libraries
req = urllib.request.Request(
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:322
Python HTTP libraries
with urllib.request.urlopen(req) as resp:
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:332
Python HTTP libraries
req = urllib.request.Request(
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:338
Python HTTP libraries
with urllib.request.urlopen(req) as resp:
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:23
Hardcoded URL
default=os.environ.get("DATADATA_BASE_URL", "https://www.datadata.com"),
The Python CLI performs real HTTP requests to the configured Datadata base URL. This is intended behavior, but it transmits queries, metadata requests, and authenticated headers over the network.
低
scripts/datadata_query.py:827
Temp file creation
return os.path.join(tempfile.gettempdir(), f"datadata-{execution_id}{suffix}")
The result download path is built in the system temp directory by default. This is expected for exports, but it still writes data artifacts to local storage.
低
scripts/datadata_query.py:23
Python environment access
default=os.environ.get("DATADATA_BASE_URL", "https://www.datadata.com"),
The script reads DATADATA_BASE_URL from the environment, which controls the remote endpoint. This is intended for configuration, but a bad value can redirect requests.

リスク要因

⚙️ 外部コマンド (36)
agents/openai.yaml:9 agents/openai.yaml:11 agents/openai.yaml:13 agents/openai.yaml:17 agents/openai.yaml:21 agents/openai.yaml:25 SKILL.md:12 SKILL.md:14 SKILL.md:21 SKILL.md:25 SKILL.md:29 SKILL.md:49 SKILL.md:50 SKILL.md:51 SKILL.md:57 SKILL.md:58 SKILL.md:60 SKILL.md:64 SKILL.md:79 SKILL.md:83 SKILL.md:87 SKILL.md:88 SKILL.md:89 SKILL.md:106 SKILL.md:113 SKILL.md:114 SKILL.md:115 SKILL.md:116 SKILL.md:117 SKILL.md:121 SKILL.md:125 SKILL.md:126 SKILL.md:128 SKILL.md:132 SKILL.md:133 SKILL.md:136
🌐 ネットワークアクセス (39)
agents/openai.yaml:13 references/api.md:24 references/api.md:75 references/api.md:94 references/api.md:115 references/api.md:150 references/api.md:202 references/api.md:233 references/api.md:274 references/api.md:355 references/api.md:386 references/api.md:413 references/api.md:456 references/api.md:501 references/api.md:527 references/api.md:565 references/api.md:14 references/api.md:19 references/api.md:29 references/api.md:30 references/api.md:302 references/api.md:303 references/api.md:22 references/cli.md:43 references/cli.md:59 references/cli.md:43 references/cli.md:59 references/data-spaces.md:45 scripts/datadata_query.py:14 scripts/datadata_query.py:298 scripts/datadata_query.py:300 scripts/datadata_query.py:316 scripts/datadata_query.py:322 scripts/datadata_query.py:332 scripts/datadata_query.py:338 scripts/datadata_query.py:23 scripts/datadata_query.py:1339 SKILL.md:29 SKILL.md:58
📁 ファイルシステムへのアクセス (19)
references/api.md:301 references/api.md:312 references/cli.md:20 references/cli.md:33 references/cli.md:37 references/cli.md:20 references/cli.md:33 references/cli.md:37 scripts/datadata_query.py:370 scripts/datadata_query.py:370 scripts/datadata_query.py:10 scripts/datadata_query.py:827 scripts/datadata_query.py:432 scripts/datadata_query.py:459 scripts/datadata_query.py:831 scripts/datadata_query.py:391 scripts/datadata_query.py:437 scripts/datadata_query.py:443 scripts/datadata_query.py:496
🔑 環境変数 (130)
references/api.md:21 references/api.md:25 references/api.md:233 references/api.md:302 references/api.md:529 references/api.md:530 references/cli.md:10 references/cli.md:19 references/cli.md:42 references/cli.md:58 scripts/datadata_query.py:23 scripts/datadata_query.py:27 scripts/datadata_query.py:373 scripts/datadata_query.py:1152 scripts/datadata_query.py:402 scripts/datadata_query.py:407 scripts/datadata_query.py:1178 scripts/datadata_query.py:27 scripts/datadata_query.py:33 scripts/datadata_query.py:179 scripts/datadata_query.py:181 scripts/datadata_query.py:186 scripts/datadata_query.py:191 scripts/datadata_query.py:196 scripts/datadata_query.py:206 scripts/datadata_query.py:210 scripts/datadata_query.py:213 scripts/datadata_query.py:220 scripts/datadata_query.py:231 scripts/datadata_query.py:239 scripts/datadata_query.py:252 scripts/datadata_query.py:260 scripts/datadata_query.py:267 scripts/datadata_query.py:275 scripts/datadata_query.py:282 scripts/datadata_query.py:289 scripts/datadata_query.py:293 scripts/datadata_query.py:294 scripts/datadata_query.py:315 scripts/datadata_query.py:318 scripts/datadata_query.py:331 scripts/datadata_query.py:334 scripts/datadata_query.py:360 scripts/datadata_query.py:363 scripts/datadata_query.py:381 scripts/datadata_query.py:382 scripts/datadata_query.py:385 scripts/datadata_query.py:390 scripts/datadata_query.py:391 scripts/datadata_query.py:394 scripts/datadata_query.py:397 scripts/datadata_query.py:402 scripts/datadata_query.py:403 scripts/datadata_query.py:414 scripts/datadata_query.py:415 scripts/datadata_query.py:420 scripts/datadata_query.py:423 scripts/datadata_query.py:429 scripts/datadata_query.py:432 scripts/datadata_query.py:437 scripts/datadata_query.py:440 scripts/datadata_query.py:443 scripts/datadata_query.py:501 scripts/datadata_query.py:506 scripts/datadata_query.py:567 scripts/datadata_query.py:579 scripts/datadata_query.py:586 scripts/datadata_query.py:600 scripts/datadata_query.py:601 scripts/datadata_query.py:603 scripts/datadata_query.py:605 scripts/datadata_query.py:608 scripts/datadata_query.py:611 scripts/datadata_query.py:614 scripts/datadata_query.py:623 scripts/datadata_query.py:638 scripts/datadata_query.py:646 scripts/datadata_query.py:696 scripts/datadata_query.py:697 scripts/datadata_query.py:709 scripts/datadata_query.py:710 scripts/datadata_query.py:718 scripts/datadata_query.py:780 scripts/datadata_query.py:795 scripts/datadata_query.py:809 scripts/datadata_query.py:816 scripts/datadata_query.py:818 scripts/datadata_query.py:849 scripts/datadata_query.py:850 scripts/datadata_query.py:863 scripts/datadata_query.py:883 scripts/datadata_query.py:890 scripts/datadata_query.py:899 scripts/datadata_query.py:911 scripts/datadata_query.py:963 scripts/datadata_query.py:975 scripts/datadata_query.py:983 scripts/datadata_query.py:1000 scripts/datadata_query.py:1005 scripts/datadata_query.py:1008 scripts/datadata_query.py:1032 scripts/datadata_query.py:1047 scripts/datadata_query.py:1097 scripts/datadata_query.py:1100 scripts/datadata_query.py:1107 scripts/datadata_query.py:1126 scripts/datadata_query.py:1143 scripts/datadata_query.py:1145 scripts/datadata_query.py:1148 scripts/datadata_query.py:1149 scripts/datadata_query.py:1152 scripts/datadata_query.py:1153 scripts/datadata_query.py:1157 scripts/datadata_query.py:1162 scripts/datadata_query.py:1176 scripts/datadata_query.py:1221 scripts/datadata_query.py:1222 scripts/datadata_query.py:1224 scripts/datadata_query.py:1228 scripts/datadata_query.py:1271 scripts/datadata_query.py:1279 scripts/datadata_query.py:1310 scripts/datadata_query.py:1328 scripts/datadata_query.py:1342 scripts/datadata_query.py:1348 scripts/datadata_query.py:1349 scripts/datadata_query.py:1355 scripts/datadata_query.py:1358 scripts/datadata_query.py:1362 SKILL.md:57
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バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く
セキュリティ評価

レポートリンクをコピー

https://skillstore.io/skills/datadata-team-datadata-api/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/datadata-team-datadata-api/security.svg)](https://skillstore.io/skills/datadata-team-datadata-api?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/datadata-team-datadata-api?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/datadata-team-datadata-api/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

埋め込みカード

<iframe src="https://skillstore.io/embed/skills/datadata-team-datadata-api.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
学術引用 (APA · BibTeX · CFF)

APA形式の引用

datadata-team. (2026). datadata-api security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/datadata-team-datadata-api/audits/4

BibTeX形式の引用

@techreport{datadata-team-datadata-team-datadata-api-2026, author = {datadata-team}, title = {datadata-api security audit report (audit version 4)}, institution = {Skillstore}, year = {2026}, number = {4}, url = {https://skillstore.io/skills/datadata-team-datadata-api/audits/4}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "datadata-api security audit report (audit version 4)" version: "unspecified" type: report authors: - name: "datadata-team" date-released: "2026-07-06" url: "https://skillstore.io/skills/datadata-team-datadata-api/audits/4" identifiers: - type: other value: "skillstore:datadata-team-datadata-api:audit:4" description: "Skillstore immutable audit report identifier"

Skillstore スコア

このスコアの理由 証拠の信頼度: 中
68
アーキテクチャ
85
保守性
85
コンテンツ
67
コミュニティ
83
仕様準拠

作成できるもの

新しいデータセットを探索する

SQL を記述する前に、データソースのメタデータを調査し、テーブルを一覧表示し、選択したスキーマを確認します。

API ワークフローを構築する

クエリ、エクスポート、エラーハンドリングのための Datadata REST または CLI フローを生成します。

データをスペースに読み込む

ducklake テーブルを作成し、準備済みの行を挿入し、保存されたテーブルスキーマを検証します。

これらのプロンプトを試す

利用可能なテーブルを一覧表示する 
Datadata を使用して、データソース <id> のテーブルを一覧表示してください。テーブル名、スキーマ、次の安全なステップを示してください。
1 つのテーブルを説明する 
データソース <id> 内のテーブル <table> を説明し、単純なクエリで重要な列を説明してください。
読み取り専用クエリを実行する 
<question> のために、読み取り専用の Datadata SQL クエリを実行してください。データソースバインディングを確認し、実行 ID を返してください。
データスペースを管理する 
<dataset> 用の ducklake データスペーステーブルを作成し、これらの行を挿入してから、挿入後にテーブルを説明してください。

ベストプラクティス

  • クエリや書き込みコマンドを実行する前に、選択したデータソースを確認します。
  • SQL を記述する前に、データソースのタイプ、テーブル、列を調査します。
  • API キーは環境変数またはローカル設定に保持し、プロンプトには絶対に含めません。

回避

  • 明示的なユーザー承認なしに、drop または insert コマンドを実行しないでください。
  • NDJSON または CSV エクスポート全体をモデルコンテキストに読み込まないでください。
  • 未確認のベース URL や共有コマンドログに API キーを送信しないでください。

よくある質問

このスキルには Datadata API キーが必要ですか？
非公開データソースへのアクセス、クエリ実行、エクスポート、書き込み操作には Datadata API キーが必要です。
ログインなしで公開データソースを検索できますか？
はい。公開データソースの検索は API キーなしで実行できます。
データを書き込めますか？
はい。キーに書き込み権限がある場合、ducklake データスペーステーブルの作成、挿入、削除ができます。
クエリ結果はどこに保存されますか？
結果はローカルファイルに書き込まれます。出力パスが指定されていない限り、通常はシステムの一時ディレクトリ配下に保存されます。
Claude、Codex、Claude Code で動作しますか？
はい。レポートでは Claude、Codex、Claude Code のサポートが明記されています。
SQL を実行する前に何を確認すべきですか？
データソース、テーブル名、列名、クエリエンジン、および SQL が読み取り専用であることを確認してください。

開発者情報

作成者

datadata-team

ライセンス

MIT

Skillstore リビジョン

r1

バージョンに関する注意

作者はバージョンを宣言していません。

リポジトリ

https://github.com/datadata-team/datadata-skills/tree/master/skills/datadata-api

参照

34f316ba14ef36c7a620fc09f2676d2429997a77

メンテナンスの新しさ

2026/7/18

利用状況

2 ダウンロード · 32 閲覧

ファイル構成

📁 agents/

📄 openai.yaml

📁 references/

📄 api.md

📄 cli.md

📄 data-spaces.md

📄 query-guide.md

📁 scripts/

📄 datadata_query.py

📄 SKILL.md

datadata-team のその他のスキル

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