agent-study-plan

agent-study-plan is a skill for Claude Code, Codex from hezkvectory/hermes-edu-skills. It costs 32 tokens per session (1,356 once invoked), scanned A, original, MIT.

A study-planning skill that turns a learning goal, deadline, and available time into tasks for today, this week, and the next review cycle.

In plain words
What is it for?
Use it to plan daily study, school-break learning, or exam revision when you know the subject, level, goal, and time available.
Why use it?
It replaces vague intentions with manageable tasks and checkpoints, while leaving room for review and schedule changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan daily study, school-break learning, or exam revision when you know the subject, level, goal, and time available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hezkvectory/hermes-edu-skills/agent-study-plan
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hezkvectory/hermes-edu-skills --skill agent-study-plan
Clone the repo
git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-study-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-study-plan/github.svg)](https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-study-plan)
Your own site
<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-study-plan"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-study-plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-study-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-study-plan"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-study-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,356 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.01356
Opus 5 $0.00016 $0.00678
Sonnet 5 $0.00006 $0.00271
Haiku 4.5 $0.00003 $0.00136

Measured 9d ago against content hash 67e24554e594, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agent-study-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/learning-core/agent-study-plan/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

学习计划 Skill

把模糊目标拆成今天、这一周和下一轮可执行的学习安排。

这个 Skill 解决什么问题 / Problem

把模糊目标拆成今天、这一周和下一轮可执行的学习安排。

最适合 / Best For

  • 每日学习安排
  • 寒暑假计划
  • 考前复习节奏
  • 家长帮孩子安排时间

不适合 / Not For

  • 替代学校正式课程表
  • 没有目标、时间和水平信息的空泛规划

使用前请准备 / Inputs

  • 学习目标
  • 当前年级和水平
  • 每天可用时间
  • 截止日期
  • 薄弱点或优先科目
  • 澄清目标和时间约束
  • 拆成复习、练习、订正、预习
  • 安排每日任务
  • 预留复盘和机动时间

输出格式 / Output Format

  • 目标摘要
  • 今日计划
  • 本周计划
  • 每日检查点
  • 调整规则

质量检查 / Quality Checks

  • 计划不能过满
  • 必须包含复盘
  • 任务要能判断是否完成

没有平台工具时 / Standalone Fallback

  • 没有学习数据时,让用户用强/中/弱描述各科水平。
  • 没有日历工具时,输出可复制到日历的文本计划。

示例提示 / Example Prompts

  • 四年级数学计算弱,每天 30 分钟,帮我排 7 天计划。
  • 离期末还有 14 天,帮我安排复习。

适用场景 / When To Use

当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时,可以使用这个 Skill。

最适合的场景:

  • 今日学习
  • 寒暑假提升
  • 考前规划

适用角色:

  • 学习者
  • 家长
  • 老师

调用信号 / Invocation Signals

意图:

  • agent_study_plan
  • learning_core
  • 今日学习
  • 寒暑假提升
  • 考前规划

示例表达:

  • 开始学习计划 Skill
  • 帮我做今日学习
  • 根据当前上下文执行学习计划 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: agent_study_plan.run
  • Category: learning-core
  • Stages: preschool, primary, junior, senior, college, adult
  • Subjects: 学习能力
  • Abilities: 学习计划, 目标管理
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, plan.generate, memory.write
  • Requires Data: 学习目标, 年级或水平, 用户输入的题目/记录/上下文
  • Export Mode: installable
  • Release Channel: recommended

成熟度备注:

  • 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。

参数化使用 / Parameters

这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。

  • Grades: 小班, 中班, 大班, 幼小衔接, 一年级, 二年级, 三年级, 四年级, 五年级, 六年级, 七年级, 八年级, 九年级, 高一, 高二, 高三, 大学, 考研, 成人学习
  • Semesters: 全年, 上册, 下册, 上册, 下册, 必修一, 必修二, 选择性必修, 模块, 模块
  • Scenarios: 今日学习, 寒暑假提升, 考前规划
  • Difficulties: 基础, 标准, 提高
  • Parameterized Dimensions: grade, semester, unit, lesson, knowledgePointCodes, scenario, difficulty

独立 Hermes 使用方式 / Standalone Hermes Usage

Read the full file on GitHub · 147 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 147 lines · 32 tokens per session scan A 67e24554e594

Subscribe to this mod's changes

agent-study-plan is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 1,356 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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