alicloud-platform-multicloud-docs-api-benchmark

Multi-Cloud Product Docs/API Benchmark

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Install skill "alicloud-platform-multicloud-docs-api-benchmark" with this command: npx skills add cinience/alicloud-skills/cinience-alicloud-skills-alicloud-platform-multicloud-docs-api-benchmark

Multi-Cloud Product Docs/API Benchmark

Use this skill when the user wants cross-cloud documentation/API comparison for similar products.

Supported clouds

  • Alibaba Cloud

  • AWS

  • Azure

  • GCP

  • Tencent Cloud

  • Volcano Engine

  • Huawei Cloud

Data source policy

  • L0 (highest): user-pinned official links via --<provider>-links

  • L1 : machine-readable official metadata/source

  • GCP: Discovery API

  • AWS: API Models repository

  • Azure: REST API Specs repository

  • L2 : official-domain constrained web discovery fallback

  • L3 : insufficient discovery (low confidence)

Workflow

Run the benchmark script:

python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "<product keyword>"

Example:

python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "serverless"

LLM platform benchmark example (Bailian/Bedrock/Azure OpenAI/Vertex AI/Hunyuan/Ark/Pangu):

python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "Bailian" --preset "llm-platform"

If --preset is omitted, script attempts to auto-match preset based on keyword.

Scoring weights can be switched by profile (see references/scoring.json ):

python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "Bailian" --preset "llm-platform" --scoring-profile "llm-platform"

Optional: pin authoritative links

Auto-discovery may miss pages. For stricter comparison, pass official links manually:

python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py
--product "object storage"
--aws-links "https://docs.aws.amazon.com/AmazonS3/latest/userguide/Welcome.html"
--azure-links "https://learn.microsoft.com/azure/storage/blobs/"

Available manual flags:

  • --alicloud-links

  • --aws-links

  • --azure-links

  • --gcp-links

  • --tencent-links

  • --volcengine-links

  • --huawei-links

Each flag accepts comma-separated URLs.

Output policy

All artifacts must be written under:

output/alicloud-platform-multicloud-docs-api-benchmark/

Per run:

  • benchmark_evidence.json

  • benchmark_report.md

Reporting guidance

When answering the user:

  • Show score ranking across all providers.

  • Highlight top gaps (P0/P1/P2) and concrete fix actions.

  • If discovery confidence is low, ask user to provide pinned links and rerun.

Validation

mkdir -p output/alicloud-platform-multicloud-docs-api-benchmark for f in skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-platform-multicloud-docs-api-benchmark/validate.txt

Pass criteria: command exits 0 and output/alicloud-platform-multicloud-docs-api-benchmark/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-platform-multicloud-docs-api-benchmark/ .

  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Prerequisites

  • Configure least-privilege Alibaba Cloud credentials before execution.

  • Prefer environment variables: ALICLOUD_ACCESS_KEY_ID , ALICLOUD_ACCESS_KEY_SECRET , optional ALICLOUD_REGION_ID .

  • If region is unclear, ask the user before running mutating operations.

References

  • Rubric: references/review-rubric.md

Source Transparency

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