← 返回 Skills 市场
cinience

Alicloud Ai Recommend Airec

作者 cinience · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ⚠ suspicious
1255
总下载
0
收藏
2
当前安装
4
版本数
在 OpenClaw 中安装
/install alicloud-ai-recommend-airec
功能描述
Manage Alibaba Cloud AIRec (Airec) via OpenAPI/SDK. Use whenever the user needs recommendation-engine resource operations in Alibaba Cloud, including list/cr...
使用说明 (SKILL.md)

Category: service

AIRec

Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for AIRec.

Workflow

  1. Confirm region, resource identifiers, and desired action.
  2. Discover API list and required parameters (see references).
  3. Call API with SDK or OpenAPI Explorer.
  4. Verify results with describe/list APIs.

AccessKey priority (must follow)

  1. Environment variables: ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET / ALICLOUD_REGION_ID Region policy: ALICLOUD_REGION_ID is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user.
  2. Shared config file: ~/.alibabacloud/credentials

API discovery

  • Product code: Airec
  • Default API version: 2020-11-26
  • Use OpenAPI metadata endpoints to list APIs and get schemas (see references).

High-frequency operation patterns

  1. Inventory/list: prefer List* / Describe* APIs to get current resources.
  2. Change/configure: prefer Create* / Update* / Modify* / Set* APIs for mutations.
  3. Status/troubleshoot: prefer Get* / Query* / Describe*Status APIs for diagnosis.

Minimal executable quickstart

Use metadata-first discovery before calling business APIs:

python scripts/list_openapi_meta_apis.py

Optional overrides:

python scripts/list_openapi_meta_apis.py --product-code \x3CProductCode> --version \x3CVersion>

The script writes API inventory artifacts under the skill output directory.

Output policy

If you need to save responses or generated artifacts, write them under: output/alicloud-ai-recommend-airec/

Validation

mkdir -p output/alicloud-ai-recommend-airec
for f in skills/ai/recommendation/alicloud-ai-recommend-airec/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-recommend-airec/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-recommend-airec/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-ai-recommend-airec/.
  • 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

  • Sources: references/sources.md
安全使用建议
This skill's description and SKILL.md indicate it needs Alibaba Cloud credentials to perform management operations, but the package manifest doesn't declare those requirements and the only included code is a harmless public API-metadata fetcher. Before installing: (1) Ask the publisher why required env vars are not declared in the registry and whether any mutating operations will be performed automatically. (2) If you plan to run it, use least-privilege Alibaba Cloud credentials (create a role/key with only the narrow AIRec permissions you need). (3) Inspect any further code or prompts that would perform Create/Update calls before providing real credentials. (4) Be aware the skill instructs saving 'key parameters' (region/resource ids) to output files — treat those outputs as potentially sensitive. If the publisher supplies clear code that performs the claimed management operations and updates the manifest to declare the credentials, this would reduce concern.
功能分析
Type: OpenClaw Skill Name: alicloud-ai-recommend-airec Version: 1.0.3 The skill bundle is a legitimate tool for managing Alibaba Cloud AIRec resources via OpenAPI. The primary script, `scripts/list_openapi_meta_apis.py`, fetches API documentation from official Alibaba Cloud metadata endpoints (api.aliyun.com) and saves it to a local output directory. No evidence of data exfiltration, credential theft, or unauthorized execution was found.
能力评估
Purpose & Capability
The description says the skill manages AIRec resources (list/create/update/troubleshoot), and the SKILL.md instructs use of Alibaba Cloud SDKs and credentials. However, the bundle contains only an OpenAPI metadata-listing script (which fetches public API docs) and the registry metadata lists no required environment variables or primary credential. Either the skill is incomplete (instruction-only relying on external SDKs) or the declared requirements are missing — this mismatch is incoherent.
Instruction Scope
SKILL.md gives concrete runtime instructions: prefer environment variables ALICLOUD_ACCESS_KEY_ID/SECRET/REGION, or shared config at ~/.alibabacloud/credentials; run the provided script to fetch API metadata; and save evidence under output/alicloud-ai-recommend-airec including key parameters (region/resource id/time range). Those instructions stay within AIRec management scope, but asking the agent to record key parameters (resource ids, times, region) could capture sensitive identifiers and the guidance to pick a region when unset gives the agent decision latitude — both warrant explicit user review.
Install Mechanism
No install spec; the skill is instruction-only plus a small Python script that performs public HTTPS GETs and writes files under the skill output directory. No remote downloads or extract/install steps are present.
Credentials
The SKILL.md expects ALICLOUD_ACCESS_KEY_ID and ALICLOUD_ACCESS_KEY_SECRET (and optionally ALICLOUD_REGION_ID) and references ~/.alibabacloud/credentials, which are reasonable for a management skill — but the registry metadata lists no required env or primary credential, and the included script does not use credentials (it calls public metadata endpoints). The mismatch between declared manifest and runtime instructions is disproportionate and unclear.
Persistence & Privilege
The skill is not always: true and does not request system-wide persistence. It writes artifacts only under its own output directory per SKILL.md; no privileged flags or modifications to other skills are present.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install alicloud-ai-recommend-airec
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /alicloud-ai-recommend-airec 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.3
batch publish from alicloud-skills on 2026-03-11
v1.0.2
batch publish from alicloud-skills on 2026-02-13
v1.0.1
Initial ClawHub publish for Alibaba Cloud skills with agents metadata.
v1.0.0
Initial ClawHub publish for Alibaba Cloud skills with agents metadata.
元数据
Slug alicloud-ai-recommend-airec
版本 1.0.3
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 4
常见问题

Alicloud Ai Recommend Airec 是什么?

Manage Alibaba Cloud AIRec (Airec) via OpenAPI/SDK. Use whenever the user needs recommendation-engine resource operations in Alibaba Cloud, including list/cr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1255 次。

如何安装 Alicloud Ai Recommend Airec?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install alicloud-ai-recommend-airec」即可一键安装,无需额外配置。

Alicloud Ai Recommend Airec 是免费的吗?

是的,Alicloud Ai Recommend Airec 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Alicloud Ai Recommend Airec 支持哪些平台?

Alicloud Ai Recommend Airec 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Alicloud Ai Recommend Airec?

由 cinience(@cinience)开发并维护,当前版本 v1.0.3。

💬 留言讨论