test-sdk: Coding Workflows for AI Agents | OpenAgentSkill

Overview

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.

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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.

View source ↗

File metadata

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.

View original text

---
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.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Jul 31, 2026
Registry updated: Sep 7, 2026
Instruction path: .claude/skills/test-sdk/SKILL.md @ 04750f848740

Version reported in registry metadata; check source releases before relying on it.

Quality

60/100

Promising

Trust

61/100

Sandbox only

Audit

73/100

Risky

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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}

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Creator: ScrapeGraphAI
Source: ScrapeGraphAI/scrapegraph-py
Indexed by: OpenAgentSkill community index

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