Registry に収録

test-sdk

価格未確認★ 86 GitHub スター登録情報の更新日 · 2026年9月7日agent-skill

概要

End-to-end test the scrapegraph-py v2 SDK against the live API using a user-provided API key. Exercises every public method on both ScrapeGraphAI (sync) and AsyncScrapeGraphAI (async), including the crawl/monitor/history namespaces. Use when the user asks to "test the SDK", "run full SDK tests", or validate a release candidate. NEVER push directly to main — all changes go via a feature branch + PR.

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。

Test the scrapegraph-py v2 SDK end-to-end

Hard rules

DO NOT push directly to main. main is the protected release branch. If changes are needed, create a feature branch and open a PR. Never git push origin main, never force-push to main, never self-merge.
Never hardcode or commit the API key. Accept it from the user at runtime. Pass it via the SGAI_API_KEY env var or the ScrapeGraphAI(api_key=...) constructor. Do not write it to any file, log, or commit.
Do not modify production config (env.py, release workflows, pyproject.toml version) as part of testing.

Required input

Ask the user for their ScrapeGraph API key before doing anything else:

I need a ScrapeGraph API key to run the live SDK tests. Please paste it (I will use it in-process only and will not write it to disk or commit it).

Export it for the session only:

export SGAI_API_KEY="<user-provided-key>"

Scope — the v2 SDK surface

The SDK exposes two top-level classes in scrapegraph_py:

ScrapeGraphAI (sync) — from scrapegraph_py.client
AsyncScrapeGraphAI (async) — from scrapegraph_py.async_client

Note: there is no smartscraper, markdownify, or agentic_scraper method. Those names are stale. Use the endpoints below — they mirror the Playground (Scrape, Extract, Search, Crawl, Monitor).

Endpoints to exercise

Endpoint	Sync method	Async method
Scrape	`client.scrape(...)`	`await aclient.scrape(...)`
Extract	`client.extract(...)`	`await aclient.extract(...)`
Search	`client.search(...)`	`await aclient.search(...)`
Crawl	`client.crawl.start(...)`	`await aclient.crawl.start(...)`
Monitor	`client.monitor.create(...)`	`await aclient.monitor.create(...)`
Credits	`client.credits()`	`await aclient.credits()`

Namespace sub-methods (cover the full lifecycle)

client.crawl — start, get, stop, resume, delete
client.monitor — create, list, get, update, pause, resume, activity, delete
client.history — list, get (supporting, not shown in Playground)

The async client exposes the same namespaces under the same attribute names, with async methods. health() and close() also exist as utility methods — call health() as a sanity check at the start of the run.

Scope — test the WHOLE SDK

Every public method above must be exercised against the live API on both ScrapeGraphAI and AsyncScrapeGraphAI. Do not mock.

For each call:

Use a minimal valid payload (e.g. https://example.com + trivial prompt).
Record the response type, that it matches the returned Pydantic model / ApiResult, and any surfaced error.
For crawl / monitor: after start/create, also exercise get, then stop/pause+resume, then delete so the full lifecycle is covered and no test artifacts are left behind.
Call credits() before and after the full run so the user can see credit consumption.

Procedure

Confirm the working directory is clean (git status). If not, stop and ask the user.
Confirm you're not on main. If making commits, branch first: git checkout -b test/sdk-smoke-YYYYMMDD. Running tests without committing does not require a branch.
Install deps: uv sync.
Run the existing unit tests first: uv run pytest tests/ -v. Fix any failures before live testing.
Write a throwaway script (e.g. scripts/smoke_sdk.py) that:
- Imports ScrapeGraphAI and AsyncScrapeGraphAI from scrapegraph_py.
- Calls every top-level method and every namespace method listed above, on both clients.
- Prints a compact table: method | sync ok | async ok | notes.
Run it: uv run python scripts/smoke_sdk.py.
Delete the throwaway script. Do not commit it.
Report a summary: which methods passed, which failed, credits consumed, and any suspicious response shapes.

If you find a bug

Branch: git checkout -b fix/<short-description>.

Fix it. Then run the full pre-commit suite from CLAUDE.md:

uv run ruff format src tests
uv run ruff check src tests --fix
uv build
uv run pytest tests/ -v

Commit with a fix: prefix (keeps the semantic-release bump at patch).
Push the branch and open a PR. Do not merge to main yourself.

Reminders to surface to the user

Live tests consume API credits. Confirm before running.
If any method returns a 4xx/5xx, report it verbatim — do not retry silently more than once.
If the user's key is invalid or rate-limited, stop and tell them; do not swap in any other key.

ソースを見る ↗

ファイルのメタデータ

name: test-sdk
description: End-to-end test the scrapegraph-py v2 SDK against the live API using a user-provided API key. Exercises every public method on both ScrapeGraphAI (sync) and AsyncScrapeGraphAI (async), including the crawl/monitor/history namespaces. Use when the user asks to "test the SDK", "run full SDK tests", or validate a release candidate. NEVER push directly to main — all changes go via a feature branch + PR.

元のテキストを表示

---
name: test-sdk
description: End-to-end test the scrapegraph-py v2 SDK against the live API using a user-provided API key. Exercises every public method on both ScrapeGraphAI (sync) and AsyncScrapeGraphAI (async), including the crawl/monitor/history namespaces. Use when the user asks to "test the SDK", "run full SDK tests", or validate a release candidate. NEVER push directly to main — all changes go via a feature branch + PR.
---

# Test the scrapegraph-py v2 SDK end-to-end

## Hard rules

1. **DO NOT push directly to `main`.** `main` is the protected release branch. If changes are needed, create a feature branch and open a PR. Never `git push origin main`, never force-push to main, never self-merge.
2. **Never hardcode or commit the API key.** Accept it from the user at runtime. Pass it via the `SGAI_API_KEY` env var or the `ScrapeGraphAI(api_key=...)` constructor. Do not write it to any file, log, or commit.
3. **Do not modify production config** (`env.py`, release workflows, `pyproject.toml` version) as part of testing.

## Required input

Ask the user for their ScrapeGraph API key before doing anything else:

> I need a ScrapeGraph API key to run the live SDK tests. Please paste it (I will use it in-process only and will not write it to disk or commit it).

Export it for the session only:

```bash
export SGAI_API_KEY="<user-provided-key>"
```

## Scope — the v2 SDK surface

The SDK exposes two top-level classes in `scrapegraph_py`:

- `ScrapeGraphAI` (sync) — from `scrapegraph_py.client`
- `AsyncScrapeGraphAI` (async) — from `scrapegraph_py.async_client`

> Note: there is **no** `smartscraper`, `markdownify`, or `agentic_scraper` method. Those names are stale. Use the endpoints below — they mirror the Playground (Scrape, Extract, Search, Crawl, Monitor).

### Endpoints to exercise

| Endpoint | Sync method | Async method |
|----------|-------------|--------------|
| Scrape   | `client.scrape(...)`            | `await aclient.scrape(...)`            |
| Extract  | `client.extract(...)`           | `await aclient.extract(...)`           |
| Search   | `client.search(...)`            | `await aclient.search(...)`            |
| Crawl    | `client.crawl.start(...)`       | `await aclient.crawl.start(...)`       |
| Monitor  | `client.monitor.create(...)`    | `await aclient.monitor.create(...)`    |
| Credits  | `client.credits()`              | `await aclient.credits()`              |

### Namespace sub-methods (cover the full lifecycle)

- `client.crawl` — `start`, `get`, `stop`, `resume`, `delete`
- `client.monitor` — `create`, `list`, `get`, `update`, `pause`, `resume`, `activity`, `delete`
- `client.history` — `list`, `get` *(supporting, not shown in Playground)*

The async client exposes the same namespaces under the same attribute names, with `async` methods. `health()` and `close()` also exist as utility methods — call `health()` as a sanity check at the start of the run.

## Scope — test the WHOLE SDK

Every public method above must be exercised against the live API on both `ScrapeGraphAI` and `AsyncScrapeGraphAI`. Do not mock.

For each call:
- Use a minimal valid payload (e.g. `https://example.com` + trivial prompt).
- Record the response type, that it matches the returned Pydantic model / `ApiResult`, and any surfaced error.
- For `crawl` / `monitor`: after `start`/`create`, also exercise `get`, then `stop`/`pause`+`resume`, then `delete` so the full lifecycle is covered and no test artifacts are left behind.
- Call `credits()` before and after the full run so the user can see credit consumption.

## Procedure

1. Confirm the working directory is clean (`git status`). If not, stop and ask the user.
2. Confirm you're not on `main`. If making commits, branch first: `git checkout -b test/sdk-smoke-YYYYMMDD`. Running tests without committing does not require a branch.
3. Install deps: `uv sync`.
4. Run the existing unit tests first: `uv run pytest tests/ -v`. Fix any failures before live testing.
5. Write a throwaway script (e.g. `scripts/smoke_sdk.py`) that:
   - Imports `ScrapeGraphAI` and `AsyncScrapeGraphAI` from `scrapegraph_py`.
   - Calls every top-level method and every namespace method listed above, on both clients.
   - Prints a compact table: method | sync ok | async ok | notes.
6. Run it: `uv run python scripts/smoke_sdk.py`.
7. Delete the throwaway script. Do not commit it.
8. Report a summary: which methods passed, which failed, credits consumed, and any suspicious response shapes.

## If you find a bug

- Branch: `git checkout -b fix/<short-description>`.
- Fix it. Then run the full pre-commit suite from `CLAUDE.md`:
  ```bash
  uv run ruff format src tests
  uv run ruff check src tests --fix
  uv build
  uv run pytest tests/ -v
  ```
- Commit with a `fix:` prefix (keeps the semantic-release bump at patch).
- Push the branch and open a PR. **Do not merge to main yourself.**

## Reminders to surface to the user

- Live tests consume API credits. Confirm before running.
- If any method returns a 4xx/5xx, report it verbatim — do not retry silently more than once.
- If the user's key is invalid or rate-limited, stop and tell them; do not swap in any other key.

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
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 86 GitHub stars
Stars/forks activity: 86 stars, 17 forks; issue activity unavailable in current metadata
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: ScrapeGraphAI/scrapegraph-py
ライセンス: MIT
バージョン: 1.0.0
最終 GitHub プッシュ: 2026年7月31日
登録情報の更新日: 2026年9月7日
手順のパス: .claude/skills/test-sdk/SKILL.md @ 04750f848740

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

60/100

有望

信頼

61/100

サンドボックス限定

監査

73/100

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
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 86 GitHub stars
Stars/forks activity: 86 stars, 17 forks; issue activity unavailable in current metadata
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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      "slug": "mattpocock-implement",
      "name": "Implement",
      "url": "https://www.openagentskill.com/skills/mattpocock-implement",
      "stars": 175741,
      "install_command": "",
      "trust_score": 89,
      "audit_score": 91
    },
    {
      "slug": "mattpocock-code-review",
      "name": "Code Review",
      "url": "https://www.openagentskill.com/skills/mattpocock-code-review",
      "stars": 168580,
      "install_command": "",
      "trust_score": 92,
      "audit_score": 93
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "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 test-sdk 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: 69/100 Manual review",
      "Audit: 73/100 Needs review",
      "Safety: 33/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "scrapegraphai-test-sdk (test-sdk)",
      "install_command": "npx skills add ScrapeGraphAI/scrapegraph-py --skill test-sdk",
      "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": "scrapegraphai-test-sdk",
      "task": "Use test-sdk 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/scrapegraphai-test-sdk",
    "api": "https://www.openagentskill.com/api/agent/skills/scrapegraphai-test-sdk",
    "audit": "https://www.openagentskill.com/skills/scrapegraphai-test-sdk/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=scrapegraphai-test-sdk&task=Use%20test-sdk%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20test-sdk%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20test-sdk%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/scrapegraphai-test-sdk/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/scrapegraphai-test-sdk"
  }
}

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: ScrapeGraphAI
ソース: ScrapeGraphAI/scrapegraph-py
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 ScrapeGraphAI 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/scrapegraphai-test-sdk?metric=listed&label=Listed)](https://www.openagentskill.com/skills/scrapegraphai-test-sdk?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/scrapegraphai-test-sdk?metric=trust&label=Trust)](https://www.openagentskill.com/skills/scrapegraphai-test-sdk?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/scrapegraphai-test-sdk?metric=audit&label=Audit)](https://www.openagentskill.com/skills/scrapegraphai-test-sdk/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/scrapegraphai-test-sdk?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/scrapegraphai-test-sdk?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