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Use this skill whenever the user asks for information from, or wants to take an action in, a third-party tool or service. This includes — but is not limited...

AI 与大模型

作者:Avinash Kamath @avinash-kamath

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v2.4.1

统计:⭐ 4 · 1.2k · 0 current installs · 0 all-time installs

4

安装量(当前) 0

🛡 VirusTotal :可疑 · OpenClaw :良性

Package:avinash-kamath/scalekit-agent-auth

安全扫描(ClawHub)

  • VirusTotal :可疑
  • OpenClaw :良性

OpenClaw 评估

The skill's code, runtime instructions, and required credentials are consistent with a Scalekit-based tool executor and do not request unrelated secrets or unusual installs.

目的

Name/description (Scalekit tool executor) match what the package requests: Scalekit client ID/secret, environment URL, and an identifier. Required binaries (python3 and the 'uv' CLI referenced in the docs) are used by the SKILL.md and scripts. No unrelated credentials, binaries, or config paths are requested.

说明范围

SKILL.md instructs the agent to discover connections, authorize, fetch tool schemas, execute tools, and use a proxy fallback. The instructions only reference the declared environment variables and the provided CLI (uv run tool_exec.py). They do not ask the agent to read unrelated system files or other credentials. The included code reads .env (via python-dotenv) which is expected and matches the declared env variables.

安装机制

There is no download-from-URL install; the SKILL.md uses an exec install step: `uv sync` to install Python deps defined in pyproject.toml. This is proportionate to running the Python CLI, but the 'uv' CLI is not a ubiquitous tool (the skill declares it as required). Ensure you trust or control the 'uv' tool in your environment before running it.

证书

Required env vars (TOOL_CLIENT_ID, TOOL_CLIENT_SECRET, TOOL_ENV_URL, TOOL_IDENTIFIER) are exactly the credentials needed to call Scalekit. No unrelated tokens, passwords, or cloud keys are requested.

持久

The skill does not request always:true and does not modify other skills or system-wide agent settings. It runs as a normal agent-invocable skill and requires explicit environment configuration; autonomous invocation is allowed but is the platform default.

综合结论

This skill legitimately needs your Scalekit credentials and the 'uv' CLI to operate. Before installing: (1) Confirm you trust the scalekit endpoint (TOOL_ENV_URL) and the owner of these credentials; (2) keep TOOL_CLIENT_SECRET private and rotate it if exposed; (3) verify the 'uv' CLI on your system (its origin and what commands like `uv sync` do) before running installs; (4) review the included tool_exec.py if you want to be sure no extra netw…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Scalekit Agent Auth」。简介:Use this skill whenever the user asks for information from, or wants to take an…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/avinash-kamath/scalekit-agent-auth/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

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