alicloud-platform-multicloud-docs-api-benchmark ناجح

Benchmark similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud. Given one product keyword, auto-discover latest official docs/API links, score quality consistently, and output detailed prioritized improvement recommendations.

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// تثبيت المهارة

تثبيت المهارة

المهارات هي كود تابع لأطراف ثالثة من مستودعات GitHub العامة. يفحص SkillHub الأنماط الخبيثة المعروفة، لكنه لا يستطيع ضمان السلامة. راجع الكود المصدري قبل التثبيت.

تثبيت عام (على مستوى المستخدم):

npx skillhub install openclaw/skills/alicloud-platform-multicloud-docs-api-benchmark

تثبيت في المشروع الحالي:

npx skillhub install openclaw/skills/alicloud-platform-multicloud-docs-api-benchmark --project

skill.install.customTargetHelp

npx skillhub install openclaw/skills/alicloud-platform-multicloud-docs-api-benchmark --target-dir /path/to/skills

المسار المقترح: ~/.claude/skills/alicloud-platform-multicloud-docs-api-benchmark/

محتوى SKILL.md

---
name: alicloud-platform-multicloud-docs-api-benchmark
description: Benchmark similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud. Given one product keyword, auto-discover latest official docs/API links, score quality consistently, and output detailed prioritized improvement recommendations.
---

# 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:

```bash
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "<产品关键词>"
```

Example:

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

LLM 平台横评示例(百炼/Bedrock/Azure OpenAI/Vertex AI/混元/方舟/盘古):

```bash
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "百炼" --preset "llm-platform"
```

如不传 `--preset`,脚本会根据关键词自动尝试匹配预设。

评分权重可通过 profile 切换(见 `references/scoring.json`):

```bash
python skills/platform/docs/alicloud-platform-multicloud-docs-api-benchmark/scripts/benchmark_multicloud_docs_api.py --product "百炼" --preset "llm-platform" --scoring-profile "llm-platform"
```

## Optional: pin authoritative links

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

```bash
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.

## References

- Rubric: `references/review-rubric.md`

الترخيص

الترخيص المُعلن: MIT

MIT License

Copyright (c) 2026 openclaw

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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