Agent skill

Aliyun Platform Docs Benchmark

by cinience in cinience/alicloud-skills

A skill your agent uses when benchmarking similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud.

MITAuto-check passedDevelopment

Install Aliyun Platform Docs Benchmark

skills CLI
$ npx skills add cinience/alicloud-skills --skill aliyun-platform-docs-benchmark -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cinience/alicloud-skills aliyun-platform-docs-benchmark --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/platform/docs/aliyun-platform-docs-benchmark .claude/skills/aliyun-platform-docs-benchmark && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aliyun-platform-docs-benchmark
GitHub stars
397
Token cost
~969 tokens
SKILL.md length
243 words
Files
6 (incl. scripts, references)
Skills in repo
96
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when benchmarking similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud.

  • Works in 3 steps: Show score ranking across all providers. → Highlight top gaps (P0/P1/P2) and… → If discovery confidence is low, ask user…
  • Benchmarking similar product documentation and API documentation across Alibaba Cloud
  • SKILL.md covers Supported clouds, Data source policy, Workflow and Optional: pin authoritative…, plus 6 more sections
  • Runs Python scripts from its folder; calls python and python3; reaches docs.aws.amazon.com and learn.microsoft.com; needs ALIBABACLOUD_ACCESS_KEY_ID and ALIBABACLOUD_ACCESS_KEY_SECRET

What it does

Aliyun Platform Docs Benchmark is an agent skill from cinience/alicloud-skills. Use when benchmarking 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.

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/presets.json` and `references/review-rubric.md`).

It sits in Development, covering Technical documentation and Technical writing. It works with Alibaba Cloud, Amazon Web Services, Google Cloud and Microsoft Azure. The repository describes itself as: alibaba cloud skills,qwen ,wan and all skills. The licence is MIT.

When your agent uses it

  • Benchmarking similar product documentation and API documentation across Alibaba Cloud
  • Tasks that involve Technical documentation
  • Tasks that involve Technical writing

Example prompts

  • “/aliyun-platform-docs-benchmark”

Requirements

  • Python 3
  • A credential in ALIBABACLOUD_ACCESS_KEY_SECRET

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 1818263. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • docs.aws.amazon.com
    • learn.microsoft.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ALIBABACLOUD_ACCESS_KEY_ID
    • ALIBABACLOUD_ACCESS_KEY_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aliyun Platform Docs Benchmark loads about 969 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 243 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~969
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from cinience/alicloud-skills at commit 1818263, republished under its MIT licence (© cinience). 243 words, ~969 tokens.

Download SKILL.mdSave it as .claude/skills/aliyun-platform-docs-benchmark/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
aliyun-platform-docs-benchmark
description
Use when benchmarking 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.
version
1.0.0

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/aliyun-platform-docs-benchmark/scripts/benchmark_multicloud_docs_api.py --product "<product keyword>"

Example:

bash
python skills/platform/docs/aliyun-platform-docs-benchmark/scripts/benchmark_multicloud_docs_api.py --product "serverless"

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

bash
python skills/platform/docs/aliyun-platform-docs-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):

bash
python skills/platform/docs/aliyun-platform-docs-benchmark/scripts/benchmark_multicloud_docs_api.py --product "Bailian" --preset "llm-platform" --scoring-profile "llm-platform"

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

bash
python skills/platform/docs/aliyun-platform-docs-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/aliyun-platform-docs-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

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

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

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-platform-docs-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: ALIBABACLOUD_ACCESS_KEY_ID, ALIBABACLOUD_ACCESS_KEY_SECRET, optional ALIBABACLOUD_REGION_ID.
  • If region is unclear, ask the user before running mutating operations.

References

  • Rubric: references/review-rubric.md

© cinience, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/platform/docs/aliyun-platform-docs-benchmark of cinience/alicloud-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/presets.json
  • references/review-rubric.md
  • references/scoring.json
  • scripts/benchmark_multicloud_docs_api.py

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Platform Docs Benchmark next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aliyun Platform Docs Benchmark compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aliyun Platform Docs Benchmark this skillcinience/alicloud-skills397—~969Automated safety check: PassMIT
Drawio MCP Diagrammingthomast1906/github-copilot-agent-skills202—~6.6kAutomated safety check: PassNone
Terravision Cloud Diagramspatrickchugh/terravision1.6k—~5.6kAutomated safety check: NotesAGPL-3.0-only
Provider Bug Reviewmondoohq/mql412—~2.9kAutomated safety check: PassCustom licence
Update Provider Depsmondoohq/mql412—~4.5kAutomated safety check: PassCustom licence
Architect For Startupsaws/agent-toolkit-for-aws2.8k—~3.7kAutomated safety check: PassApache-2.0

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Questions about Aliyun Platform Docs Benchmark

What does Aliyun Platform Docs Benchmark do?

A skill your agent uses when benchmarking similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud. Aliyun Platform Docs Benchmark is an agent skill from cinience/alicloud-skills. Use when benchmarking similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cloud.

When should I use Aliyun Platform Docs Benchmark?

Aliyun Platform Docs Benchmark fits situations like: benchmarking similar product documentation and API documentation across Alibaba Cloud; tasks that involve Technical documentation; tasks that involve Technical writing.

How do I install Aliyun Platform Docs Benchmark in Claude Code?

Run `npx skills add cinience/alicloud-skills --skill aliyun-platform-docs-benchmark -a claude-code`. Or copy the skill folder (skills/platform/docs/aliyun-platform-docs-benchmark in cinience/alicloud-skills) into .claude/skills/aliyun-platform-docs-benchmark in your project. Claude Code loads it when a task matches its description.

How do I install Aliyun Platform Docs Benchmark in Codex?

Run `npx skills add cinience/alicloud-skills --skill aliyun-platform-docs-benchmark -a codex`. Or copy the skill folder (skills/platform/docs/aliyun-platform-docs-benchmark in cinience/alicloud-skills) into .agents/skills/aliyun-platform-docs-benchmark in your project. Codex loads it when a task matches its description.

Can I use Aliyun Platform Docs Benchmark in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cinience/alicloud-skills --skill aliyun-platform-docs-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aliyun-platform-docs-benchmark, .gemini/skills/aliyun-platform-docs-benchmark, .github/skills/aliyun-platform-docs-benchmark and .opencode/skills/aliyun-platform-docs-benchmark in your project.

What does Aliyun Platform Docs Benchmark need to run?

Going by SKILL.md and its folder, Aliyun Platform Docs Benchmark needs Python for the scripts in its folder, the command-line tools its instructions call (python and python3) and credentials named ALIBABACLOUD_ACCESS_KEY_ID and ALIBABACLOUD_ACCESS_KEY_SECRET. Our summary lists: Python 3; A credential in ALIBABACLOUD_ACCESS_KEY_SECRET.

Does Aliyun Platform Docs Benchmark access the network?

SKILL.md names 2 domains. In commands or code: docs.aws.amazon.com and learn.microsoft.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Aliyun Platform Docs Benchmark safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Aliyun Platform Docs Benchmark use?

Aliyun Platform Docs Benchmark is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aliyun Platform Docs Benchmark use?

About 969 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 743 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Platform Docs Benchmark?

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Who maintains Aliyun Platform Docs Benchmark?

cinience (a GitHub user) maintains it in cinience/alicloud-skills, which has 397 GitHub stars. The repository holds 96 skills in this directory. The repository was last updated on August 11, 2026.

Source: cinience/alicloud-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.