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Facebook Analytics

Name: Facebook Analytics
Author: snoopyrain

作者 snoopyrain · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ✓ 安全检测通过

220

总下载

当前安装

版本数

在 OpenClaw 中安装

/install facebook-analytics

功能描述

Track Facebook Page performance and analytics. Use when the user says 'Facebook analytics', 'Facebook page metrics', 'how is my Facebook doing', 'Facebook en...

使用说明 (SKILL.md)

Facebook Analytics

Track your Facebook Page performance — reach, engagement, video views, and post-level metrics. Powered by Boring.

Security & Data Handling

MCP link is a credential: Your MCP Server URL (https://boring.aiagent-me.com/mcp/t/xxxxx...) contains an embedded authentication token. Treat it like a password — do not share it publicly.
Token scope: The embedded token is read-only for analytics. It can only fetch performance metrics and account metadata. It cannot publish, delete, or modify any content on your social media accounts.
Token storage: The token is stored server-side in Boring's database (MongoDB on DigitalOcean). It is never written to your local filesystem. You can regenerate or revoke it anytime at boring.aiagent-me.com/settings.
Data flow: Analytics queries are sent from Boring's server (Google Cloud, us-central1) to the platform's API on your behalf. Only performance metrics are retrieved — no content is uploaded or modified.
No local credentials: No local API keys, environment variables, or secrets are needed. All auth is embedded in the MCP link.
Third-party service: This skill relies on Boring, an open-source social media management tool. Source code: github.com/snoopyrain.

Prerequisites

Sign up at boring.aiagent-me.com with Google
Connect Facebook — requires admin access to a Facebook Page
Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token — treat it like a password)
Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Available Tools

Tool	Data Source	Best For
`boring_get_performance`	Real-time platform API	Page-level overview (reach, engagement, video views)
`boring_get_video_analytics`	Real-time platform API	Per-post metrics (views, likes, comments, shares)
`boring_get_posts_performance`	Daily snapshots (collected at 2 AM)	Historical post performance over date ranges
`boring_get_publish_history`	Boring database	Publishing history and status tracking

Workflow

Step 1: List Accounts

Call boring_list_accounts and filter for facebook platform. Show the user their connected Pages.

Step 2: Determine What the User Wants

User Request	Tool to Use
"How is my Facebook doing?"	`boring_get_performance`
"Show my best Facebook posts"	`boring_get_video_analytics`
"Facebook performance over the last month"	`boring_get_posts_performance`
"What did I post on Facebook?"	`boring_get_publish_history`

Step 3: Fetch Data

Page-Level Performance

boring_get_performance(
  account_id="\x3Caccount_id>",
  platform="facebook",
  period="week"       // "day", "week", or "month"
)

Per-Post Analytics (Real-Time)

boring_get_video_analytics(
  account_id="\x3Caccount_id>",
  platform="facebook",
  limit=20             // max 100
)

Historical Post Performance (Snapshots)

boring_get_posts_performance(
  account_id="\x3Caccount_id>",
  since="2025-12-01",
  until="2025-12-31",
  limit=20
)

Step 4: Present Results

Format the data clearly:

Page overview: Show key metrics in a summary table
Post analytics: Rank posts by engagement, highlight top performers
Historical: Show trends over time

Facebook Metrics

Metric	Description
`page_media_view`	Total video views
`page_post_engagements`	Likes, comments, shares
`page_total_actions`	Total page actions

Error Handling

Error	Solution
`InvalidApiKey`	MCP link may be invalid — regenerate it at boring.aiagent-me.com Settings
`InvalidAccountId`	Run `boring_list_accounts` to get valid IDs
`TokenExpired`	Reconnect account at boring.aiagent-me.com
No data returned	Account may be newly connected — data collection runs daily at 2 AM

Documentation

Full API docs: boring-doc.aiagent-me.com

安全使用建议

This skill appears coherent for fetching Facebook analytics via the Boring service, but you should: (1) treat your MCP link (the URL with embedded token) like a password — only paste it into trusted connectors and revoke/regenerate it if you suspect misuse; (2) confirm with your organization that giving the MCP connector to the agent/platform is acceptable because the platform will have access to read metrics; (3) review the Boring service homepage/source repository to confirm authenticity and privacy practices if you don't already trust it; (4) if you need stronger assurance, ask the skill owner or platform for proof that the embedded token is truly read-only (scope) and for network/logging details showing what data is accessed. If any instruction asked the agent to provide other credentials or read local files, do not install — this skill does not do that.

功能分析

Type: OpenClaw Skill Name: facebook-analytics Version: 1.0.1 The skill is a standard integration for the 'Boring' social media analytics service using the Model Context Protocol (MCP). It provides instructions for an AI agent to fetch Facebook Page metrics (reach, engagement, video views) via a remote MCP server (boring.aiagent-me.com). No malicious code, unauthorized data exfiltration, or harmful prompt injections were identified in the SKILL.md or _meta.json files.

能力评估

✓ Purpose & Capability

The name/description (Facebook Page analytics) aligns with the requirements and instructions: the skill requires an MCP connector link to Boring and calls Boring API helpers (boring_get_performance, boring_get_video_analytics, etc.). There are no unrelated environment variables, binaries, or config paths requested.

✓ Instruction Scope

SKILL.md restricts runtime actions to listing accounts and calling the named Boring API helper calls. It does not instruct reading arbitrary local files, other credentials, or exfiltrating data to unexpected endpoints. The only credential referenced is the MCP link (described as embedded auth token) which is necessary to access the Boring service.

✓ Install Mechanism

There is no install spec and no code files; this is an instruction-only skill. That is the lowest-risk install model and is coherent with the described behavior.

ℹ Credentials

The skill requests no environment variables but requires an MCP Connector URL containing an embedded token. This is a reasonable single credential for a third-party aggregator, but treat the connector like a password: the platform and Boring will receive the token. The SKILL.md claims the token is read-only and stored server-side, but that claim cannot be independently verified from the skill bundle alone.

✓ Persistence & Privilege

always is false and there is no indication the skill modifies other skills or system-wide settings. The skill is user-invocable and may be invoked autonomously by the agent (platform default), which is expected for a connector-style integration.

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 facebook-analytics
安装完成后，直接呼叫该 Skill 的名称或使用 /facebook-analytics 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

v1.0.1

Add detailed Security & Data Handling

v1.0.0

- Initial release of Facebook Analytics skill. - Track Facebook Page performance: reach, engagement, video views, and post metrics. - Secure connection using an MCP Connector link (no local API keys required). - Includes tools for real-time and historical analytics and publishing history. - Easy setup—connect your Facebook Page via Boring, copy the MCP link, and start analyzing. - Comprehensive documentation and troubleshooting guidance included.

元数据

Slug facebook-analytics

版本 1.0.1

许可证 MIT-0

累计安装 2

当前安装数 2

历史版本数 2

常见问题