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Alicloud Platform Multicloud Docs Api Benchmark

Benchmark similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud. Given o...
{ "answer": "对标阿里云、AWS、Azure、GCP、腾讯云、火山引擎和华为云的同类产品文档及API文档。" }
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概述

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 "<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:

1) Show score ranking across all providers.

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

3) 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

版本历史

共 2 个版本

  • v1.0.1 当前
    2026-03-29 04:36 安全 安全
  • v1.0.0
    2026-03-11 11:19

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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