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Retention Drop Checker
作者
LeroyCreates
· GitHub ↗
· v1.0.1
· MIT-0
231
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install retention-drop-checker
功能描述
Diagnose why short-video retention drops and suggest practical fixes. Use when views start but audience leaves early.
安全使用建议
This skill appears coherent and low-risk: it only needs the content you choose to provide (script/transcript, retention curve, or CSV) and will produce diagnostics and optional Python analysis code. Before uploading any retention exports or CSVs, confirm they contain no sensitive or proprietary identifiers (user IDs, PII, or private project data). If the skill returns a Python script, review the code before running it in your environment; run analysis locally or in a trusted environment rather than sending raw analytics to unknown endpoints. Note the license: CC BY-NC-SA for non-commercial use—contact the author for commercial licensing.
功能分析
Type: OpenClaw Skill
Name: retention-drop-checker
Version: 1.0.1
The retention-drop-checker skill is designed to help users analyze audience retention for short-form videos. The instructions in SKILL.md and the output template in references/output-template.md are entirely consistent with the stated purpose of diagnosing video performance. There are no indicators of data exfiltration, malicious execution, or prompt injection attacks.
能力评估
Purpose & Capability
The name and description (diagnosing short-video retention drops and suggesting fixes) match the runtime instructions: ask for retention curves/transcripts, perform qualitative diagnosis, and optionally emit a Python analysis script when structured CSV data is provided. There are no unrelated credential or binary requirements.
Instruction Scope
Instructions stay on-topic (clarify inputs, segment video, diagnose drops, recommend fixes, produce a reusable Python script if the user supplies structured data). One point to note: the skill expects users may upload retention CSVs—while the skill only says to generate analysis code (not to execute or transmit data), uploading analytics can include sensitive or proprietary data; the SKILL.md does not instruct where code should be run or how uploaded data is stored or transmitted.
Install Mechanism
No install spec and no code files beyond SKILL.md and a harmless output template; this is lowest-risk (instruction-only) from an installation perspective.
Credentials
The skill requests no environment variables, credentials, or config paths—there is no disproportionate secret or environment access requested.
Persistence & Privilege
The skill is not always-on, is user-invocable only, and does not request or describe modifying other skills or system-wide settings.
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 retention-drop-checker - 安装完成后，直接呼叫该 Skill 的名称或使用
/retention-drop-checker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 browser-first guidance or interactive Python workflow improvements
v1.0.0
Initial release
元数据
常见问题
Retention Drop Checker 是什么？
Diagnose why short-video retention drops and suggest practical fixes. Use when views start but audience leaves early. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 231 次。
如何安装 Retention Drop Checker？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install retention-drop-checker」即可一键安装，无需额外配置。
Retention Drop Checker 是免费的吗？
是的，Retention Drop Checker 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Retention Drop Checker 支持哪些平台？
Retention Drop Checker 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 Retention Drop Checker？
由 LeroyCreates（@leooooooow）开发并维护，当前版本 v1.0.1。
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