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

---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 "" 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

安装