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在 OpenClaw 中安装
/install social-matrix-manager-claw
功能描述
自媒体矩阵管家虾 — 多账号自媒体矩阵的统一调度中心。监控数据、分析互动、检测异常、生成日报。 **当以下情况时使用此 Skill**: (1) 需要汇总多个自媒体账号(抖音/小红书/视频号/B站/微博)的运营数据 (2) 需要生成矩阵日报,标出异常账号 (3) 需要检测爆款内容(播放量超均值N倍)并推送预警 (...
安全使用建议
This skill appears to do what it says: load a CSV of account metrics, compute metrics and alerts, and produce a Markdown report. Before installing or running it: 1) Confirm your input files are CSV (the script does not parse Excel files). 2) Be aware uploaded data will be written to the agent workspace — avoid including sensitive credentials or PII in those CSVs. 3) If you want automated pushes to Feishu or chat, you'll need to supply credentials to the separate messenger/Feishu integration (this skill does not request or manage those creds). 4) Test with a small dataset first (notes say large matrices >50 accounts should be batched). 5) If you need Excel support or automatic push behavior, request or inspect additional code that handles those features before granting access. Overall the skill is coherent and low-risk, but follow standard data-handling precautions.
功能分析
Type: OpenClaw Skill
Name: social-matrix-manager-claw
Version: 1.0.0
The skill bundle is a legitimate tool designed for social media matrix management and data analysis. The core logic in scripts/analyze_matrix.py uses standard Python libraries to process CSV data and generate Markdown reports without any risky behaviors such as network exfiltration, shell execution, or credential harvesting. The instructions in SKILL.md and the reference files (platform-metrics.md, sentiment-keywords.md) are strictly aligned with the stated purpose of monitoring account performance and sentiment.
能力评估
Purpose & Capability
The name/description match the included script and reference files: the Python script parses account CSVs, computes metrics, detects anomalies, and builds a Markdown report as described. Minor mismatch: SKILL.md states it accepts 'CSV/Excel' files, but the provided script only implements CSV parsing (csv.DictReader) and has no Excel parsing dependency.
Instruction Scope
Instructions keep to the stated purpose: save user-provided data to the workspace and run the analysis script. They do reference creating a Feishu doc (feishu_create_doc) and sending messages via a 'message' tool for pushing reports; those are external integrations and are only suggested — the skill itself does not contain code that calls network endpoints. The SKILL.md does instruct storing files in the workspace; users should be aware that uploaded data will be written to disk.
Install Mechanism
No install spec is provided and the skill is instruction-only plus a small local script. Nothing is downloaded or installed by the skill, so there is no install-time risk.
Credentials
The skill declares no required environment variables or credentials, which is appropriate for a local CSV-processing tool. However, the SKILL.md references external push mechanisms (Feishu/group message) that in practice require credentials — those are not declared here. That is a minor inconsistency (the skill itself does not automatically acquire or request those credentials).
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent system privileges. It does not modify other skills or system configuration.
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 social-matrix-manager-claw - 安装完成后,直接呼叫该 Skill 的名称或使用
/social-matrix-manager-claw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
初始发布:多账号自媒体矩阵数据监控、异常预警、日报生成
元数据
常见问题
自媒体矩阵管家虾 是什么?
自媒体矩阵管家虾 — 多账号自媒体矩阵的统一调度中心。监控数据、分析互动、检测异常、生成日报。 **当以下情况时使用此 Skill**: (1) 需要汇总多个自媒体账号(抖音/小红书/视频号/B站/微博)的运营数据 (2) 需要生成矩阵日报,标出异常账号 (3) 需要检测爆款内容(播放量超均值N倍)并推送预警 (... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 143 次。
如何安装 自媒体矩阵管家虾?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install social-matrix-manager-claw」即可一键安装,无需额外配置。
自媒体矩阵管家虾 是免费的吗?
是的,自媒体矩阵管家虾 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
自媒体矩阵管家虾 支持哪些平台?
自媒体矩阵管家虾 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 自媒体矩阵管家虾?
由 Ricky(@tujinsama)开发并维护,当前版本 v1.0.0。
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