Nutrition Provider R2

crawl the Vietnam nutrition provider page-by-page with scrapling-official and upload each raw provider record to Cloudflare R2 after fetch. use for provider-...

What to check before installing: - The SKILL.md requires Cloudflare R2 credentials (R2_ACCOUNT_ID, R2_ACCESS_KEY_ID, R2_SECRET_ACCESS_KEY, R2_BUCKET) but the registry metadata does not declare these environment variables — ask the publisher to update metadata so you clearly see required secrets before install. - Inspect the included script (scripts/upload_page_to_r2.py) yourself: it uploads objects to a Cloudflare R2 endpoint constructed from R2_ACCOUNT_ID and uses boto3.put_object. If you provide credentials, ensure they are scoped only to the intended bucket and consider using short-lived/limited keys. - The package's install spec installs only the 'uv' brew formula; Python dependencies (boto3/botocore) appear only in the script comments. Confirm how your environment will install those dependencies (uv may manage them, or you may need to pip install) to avoid unexpected network installs at runtime. - Confirm you trust the source: the skill will create many objects in your R2 bucket (one per provider record). Consider testing in a sandbox bucket/run-id to verify behavior and naming (keys follow the documented layout) and to validate pacing (60s per page) to avoid accidental overuse or costs. - Verify scrapling-official is present and configured exactly as the instructions require; the skill defers crawling entirely to that helper. If the publisher updates the package metadata to declare the required env vars and documents how Python deps are installed, the inconsistencies would be resolved and the package would be more trustworthy.

Type: OpenClaw Skill Name: nutrition-provider-r2 Version: 0.1.2 The skill bundle is a specialized crawler designed to extract nutritional data from a specific Vietnamese government portal and upload it to a user-configured Cloudflare R2 bucket. The Python script `scripts/upload_page_to_r2.py` uses standard libraries (boto3) for S3-compatible uploads and includes proper input sanitization for object keys; the instructions in `SKILL.md` emphasize polite crawling practices, such as a 60-second pacing window per page.