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Bytesagain Study Plan

Name: Bytesagain Study Plan
Author: loutai0307-prog

作者 loutai0307-prog · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

109

总下载

当前安装

版本数

在 OpenClaw 中安装

/install bytesagain-study-plan

功能描述

Create study plans for exams with schedules and reminders. Use when adding tasks, planning reviews, tracking progress, prioritizing subjects.

使用说明 (SKILL.md)

Study Plan

学习计划生成器。考研计划、考证规划、每日学习、番茄钟。Study plan generator for exams, certifications, daily schedules. 学习计划、考研计划、备考规划。Use when creating study schedules.

与手动操作对比

	手动	使用本工具
时间	数小时	几分钟
专业度	取决于经验	专业级输出
一致性	易遗漏	标准化模板

专业建议

艾宾浩斯遗忘曲线: 1天后记忆剩33%, 需及时复习**
番茄钟: 25分钟专注+5分钟休息, 4个番茄后长休15分钟**
费曼学习法: 学完后用自己的话教别人**
康奈尔笔记: 左侧关键词+右侧笔记+底部总结**
每日计划: 困难任务放上午, 复习放睡前**

Study Plan by BytesAgain

💬 Feedback & Feature Requests: https://bytesagain.com/feedback Powered by BytesAgain | bytesagain.com

Examples

# Show help
study-plan help

# Run
study-plan run

Run study-plan help for all commands

Commands

Run study-plan help to see all available commands.

安全使用建议

This skill appears to be a local study-plan CLI and is internally coherent for that purpose, but check the following before installing or running: - The scripts call python3; ensure python3 is installed on your system (the skill did not declare this dependency). - The tool will create and write files under a data directory (default: ~/.local/share/study-plan) — if you care about where data is stored, set STUDY_PLAN_DIR or XDG_DATA_HOME before running. - SKILL.md examples reference a 'run' command that isn't implemented; use the actual commands (help, plan, daily, review, pomodoro, add, list, etc.) as shown in the scripts. - If you want to be extra cautious, run the scripts in a sandbox or inspect/execute them manually rather than allowing automatic installation/execution. No credentials, network endpoints, or obfuscated code were found, so there is low risk of secret exfiltration based on the provided files.

功能分析

Type: OpenClaw Skill Name: bytesagain-study-plan Version: 1.0.0 The skill bundle is a legitimate study plan and task management tool. The scripts (script.sh and study.sh) handle local task logging and generate study schedules based on predefined templates (e.g., Ebbinghaus forgetting curve, Pomodoro technique) without any network activity, sensitive data access, or malicious execution patterns.

能力评估

✓ Purpose & Capability

Name/description (study-plan generator, schedules, reminders) match the shipped files: two shell scripts and a Python program that generate plans, daily schedules, reviews, and pomodoro guidance. The functionality is local and consistent with the stated purpose.

ℹ Instruction Scope

SKILL.md and examples are focused on creating study plans and invoking the CLI. One minor mismatch: SKILL.md examples show 'study-plan run' but the provided script implements commands like add/list/today/plan/daily/review/pomodoro and does not define a 'run' command. The scripts write data to a local data directory (DATA_DIR) and maintain history.log; SKILL.md does not explicitly document that but the behavior is reasonable for a local CLI.

⚠ Install Mechanism

There is no install spec (instruction-only), yet the package includes executable scripts that invoke 'python3'. The registry metadata declared no required binaries, but the scripts require a working python3 runtime. This is an inconsistency: the skill will fail unless python3 is present, but the skill does not declare that dependency.

✓ Credentials

The skill requests no credentials or secrets. It optionally respects STUDY_PLAN_DIR and XDG_DATA_HOME environment variables to control the data storage location; otherwise it writes under the user's home directory (~/.local/share/study-plan). This is proportionate to a local CLI that stores tasks and history.

✓ Persistence & Privilege

The skill is not always-enabled and does not request elevated privileges. It persists user data in a dedicated data directory and log files under the user's home (or XDG_DATA_HOME). That local file writing is expected for a task manager and remains within its scope; it does not modify 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 bytesagain-study-plan
安装完成后，直接呼叫该 Skill 的名称或使用 /bytesagain-study-plan 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

Restored skill with improvements

元数据

Slug bytesagain-study-plan

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题