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Metricool
作者
willscott-v2
· GitHub ↗
· v1.0.0
2874
总下载
5
收藏
8
当前安装
1
版本数
在 OpenClaw 中安装
/install metricool
功能描述
Schedule and manage social media posts via Metricool API. Use when posting to multiple platforms (LinkedIn, X, Bluesky, Threads, Instagram), checking scheduled posts, or analyzing social metrics.
安全使用建议
What to consider before installing:
- The code and SKILL.md are consistent with a Metricool integration: it needs a Metricool API token (METRICOOL_USER_TOKEN) and user id (METRICOOL_USER_ID) and will call app.metricool.com endpoints. That behavior is expected for this skill.
- The registry metadata did NOT declare these required environment variables or a primary credential. Confirm with the skill author or registry owner why metadata omits the credentials the scripts expect; this inconsistency can break automated checks or hide credential requirements.
- The included scripts will try to read credentials from (in order) process.env, ~/.moltbot/moltbot.json, and a workspace .env file. If you keep other secrets in your project .env or in ~/.moltbot/moltbot.json, those files will be read by the scripts (the code only extracts Metricool vars, but reading those files increases exposure). Prefer placing the Metricool token in a dedicated, minimal-scope location.
- The package does not download remote code at install time (lower install risk), but it does contain executable JS files. If you are not comfortable, inspect the scripts yourself (they are plain JS) or run them in a sandboxed environment before giving them your real Metricool token.
- Operational advice: use a Metricool token with the least privileges possible, rotate the token if it has been exposed, and verify network calls (they go to https://app.metricool.com). If you need stronger assurance, request the author add the required env vars to the registry metadata and provide an author/source homepage or signed release.
功能分析
Type: OpenClaw Skill
Name: metricool
Version: 1.0.0
The skill bundle is benign. All scripts (`best-time.js`, `get-brands.js`, `list-scheduled.js`, `schedule-post.js`) load Metricool API credentials (METRICOOL_USER_TOKEN, METRICOOL_USER_ID) from environment variables, `~/.moltbot/moltbot.json`, or a local `.env` file, which is a standard practice for agent skills. All network requests are directed exclusively to the legitimate Metricool API domain (`https://app.metricool.com`) for the stated purpose of social media management. There is no evidence of data exfiltration to unauthorized endpoints, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts in `SKILL.md` or `README.md`.
能力评估
Purpose & Capability
The code and SKILL.md match the stated purpose: all network calls are to app.metricool.com and the scripts implement listing brands, scheduling posts, listing scheduled posts, and fetching best times. Requested capabilities (access to a Metricool token and user id) are appropriate for this functionality. However, the registry metadata lists no required environment variables or primary credential while both SKILL.md and the scripts clearly expect METRICOOL_USER_TOKEN and METRICOOL_USER_ID — a discrepancy.
Instruction Scope
Runtime instructions are narrowly scoped to Metricool functionality and running the provided node scripts. The scripts read credentials from process.env, ~/.moltbot/moltbot.json, and a workspace .env file to auto-detect tokens. They do not contact unexpected remote endpoints or try to read arbitrary system paths beyond those config locations. Reading a workspace .env and the user's .moltbot config is reasonable for credential lookup, but it means the skill will try to read files that may contain other secrets if present.
Install Mechanism
There is no install spec that downloads remote code; the skill comes with local JS scripts. No external packages or unusual installers are fetched at runtime. This is lower risk from an installation mechanism perspective.
Credentials
The scripts require two specific credentials (METRICOOL_USER_TOKEN and METRICOOL_USER_ID), which are proportionate to the task. The concern is that the registry metadata did not declare these required env vars or primary credential — this mismatch can mislead users or automated vetting. Additionally, the scripts read ~/.moltbot/moltbot.json and a project .env file (which may contain other secrets); while they only parse specific keys, reading these files increases the skill's access surface and should be disclosed.
Persistence & Privilege
The skill does not request persistent platform privileges (always: false), does not modify other skills or system-wide settings, and does not install background services. It runs on-demand via node scripts or when invoked by the agent.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install metricool - 安装完成后,直接呼叫该 Skill 的名称或使用
/metricool触发 - 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
v1.0.0
Initial release: Schedule posts to LinkedIn, X, Bluesky, Threads, Instagram, Facebook via Metricool API
元数据
常见问题
Metricool 是什么?
Schedule and manage social media posts via Metricool API. Use when posting to multiple platforms (LinkedIn, X, Bluesky, Threads, Instagram), checking scheduled posts, or analyzing social metrics. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2874 次。
如何安装 Metricool?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install metricool」即可一键安装,无需额外配置。
Metricool 是免费的吗?
是的,Metricool 完全免费(开源免费),可自由下载、安装和使用。
Metricool 支持哪些平台?
Metricool 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 Metricool?
由 willscott-v2(@willscott-v2)开发并维护,当前版本 v1.0.0。
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