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test-sdk

가격 미확인★ 86 GitHub 스타목록 업데이트 · 2026년 9월 7일agent-skill

개요

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.

전체 설명 읽기

소스 문서이며 이 웹사이트의 실행 지침이 아닙니다. 명령 실행 전에 권한을 확인하세요.

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.

소스 보기 ↗

파일 메타데이터

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.

원문 보기

---
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.

소스 확인

가격 및 실행 비용

Skill 받기: 가격 미확인
실행: 실행 요구 사항이 확인되지 않았습니다. 제공처에서 Agent, API 및 서비스 요금을 확인하세요.
라이선스: MIT
가격 미확인: 가격을 아직 확인하지 못했습니다. 기존 소스 및 설치 링크는 계속 이용할 수 있습니다.

무료 다운로드가 무료 실행을 뜻하지 않습니다. 가격은 안전 등급이 아닙니다. 가격 정보 제출 →

스킬 소스 기록됨

지침 경로가 기록되어 있습니다. 실행 테스트, 안전 보장 또는 호환성 인증은 아닙니다.

설치 전 검토: 자동 설치 피하기

라이선스: 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

전체 감사 열기

도구 목록은 메타데이터이며 테스트된 호환성이 아닙니다. 프롬프트는 제안입니다.

작은 작업부터 시작

1소스를 읽고 입력, 출력, 의존성 및 권한을 확인하세요.
2Agent에게 계획을 요청하고 설정과 비용을 승인한 뒤 격리 환경에서 테스트하세요.
3출력과 변경 파일을 확인하고 실제 실행 결과만 보고하세요. 재현을 위해 소스 버전을 보관하세요.

소스에서 의존성, API 키 및 외부 서비스 비용을 확인하세요. 공개 저장소라고 모든 서비스가 무료는 아닙니다.

출처 및 사용 안내

등록됨

메타데이터와 검토 신호는 참고용입니다. 인기, 소스 발견, 실행 성공은 서로 다른 사실입니다.

소스 저장소: ScrapeGraphAI/scrapegraph-py
라이선스: MIT
버전: 1.0.0
최근 GitHub 푸시: 2026년 7월 31일
목록 업데이트: 2026년 9월 7일
지침 경로: .claude/skills/test-sdk/SKILL.md @ 04750f848740

목록에 보고된 버전입니다. 소스 릴리스를 확인하세요.

품질

60/100

유망

신뢰

61/100

샌드박스 전용

감사

73/100

검토 필요

전체 감사 열기 평가 보고서 보기

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: —
결과: —

복사는 설치가 아닙니다. 설치 수는 성공 보고에 기반하며 전체 품질을 보장하지 않습니다.

Agent 연결

Registry API를 통해 동일한 결정, 신뢰, 감사, 사용 사례, 설치 신호를 제공하므로 Agent가 UI를 스크래핑하지 않고도 순위를 매길 수 있습니다.

설치 API 열기 LLM 텍스트 형식 Manifest 열기 자동 해결 계획

추가 정보

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      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
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      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 73,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "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"
    ]
  },
  "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": 60,
    "label": "Promising"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding agents",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "mattpocock-implement",
      "name": "Implement",
      "url": "https://www.openagentskill.com/skills/mattpocock-implement",
      "stars": 175741,
      "install_command": "",
      "trust_score": 89,
      "audit_score": 91
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    {
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      "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": {
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    "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"
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    "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,
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      "task_success": true,
      "output_quality": 4,
      "error_type": null,
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      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
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  "endpoints": {
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    "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",
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    "install": "https://www.openagentskill.com/api/skills/scrapegraphai-test-sdk/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/scrapegraphai-test-sdk"
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}

제작자 도구

등록 출처

Registry 색인

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이 등록은 공개 소스에서 색인되었으며 유지보수자 소유권 주장이 승인될 때까지 공식으로 표시되지 않습니다.

제작자: ScrapeGraphAI
출처: ScrapeGraphAI/scrapegraph-py
색인 주체: OpenAgentSkill 커뮤니티 인덱스

귀속은 공개 저장소 또는 제작자 프로필에 연결됩니다. 제작자는 등록을 주장하여 소유권 신호를 업데이트할 수 있습니다.

이 스킬 소유권 주장

소유자 소유권 주장

이 스킬 등록 소유권 주장

이 Registry 색인 등록은 ScrapeGraphAI에게 귀속되어 있지만 아직 공식으로 표시되지 않았습니다. 소유권을 주장하면 확인된 소유자 신호가 추가되어 이후 출시, 설치 및 감사 업데이트를 더 신뢰할 수 있습니다.

공유 키트

크리에이터 백링크 키트

README에 증거 배지 추가

개발자가 저장소를 평가하는 위치에 정규 등록, 현재 신뢰 및 감사 신호, 실제 Agent-Proven 증거를 표시합니다.

[![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)
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배지 미리보기 감사 열기 크리에이터 키트

커뮤니티 신호

이 스킬이 Agent 워크플로에 유용한지 알려 주세요. 집계된 피드백은 시간이 지날수록 순위를 개선합니다.

개요

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

Hard rules

Required input

Scope — the v2 SDK surface

Endpoints to exercise

Namespace sub-methods (cover the full lifecycle)

Scope — test the WHOLE SDK

Procedure

If you find a bug

Reminders to surface to the user

소스 확인

가격 및 실행 비용

작은 작업부터 시작

출처 및 사용 안내

Agent 연결

관련 스킬

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Registry 색인

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