study-plan

study-plan is a skill for Claude Code, Codex from open-octo/octo-agent. It costs 120 tokens per session (3,581 once invoked), scanned A, original, MIT.

A long-term study planner that divides learning into stages and adapts the schedule using practice results. It can also plan focused practice sessions for a specific number of questions or flashcards.

In plain words
What is it for?
Use it to plan exam preparation or a study period, allocate time across subjects, decide what to study today, and update the plan after practice.
Why use it?
It turns a vague study goal into a realistic routine and adjusts priorities when the learner struggles with particular subjects or topics.

Skill for Claude CodeCodex

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

Good fit Use it to plan exam preparation or a study period, allocate time across subjects, decide what to study today, and update the plan after practice.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/open-octo/octo-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 open-octo/octo-agent --skill study-plan
Clone the repo
git clone --depth 1 https://github.com/open-octo/octo-agent

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 study-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/open-octo/octo-agent/study-plan.svg)](https://agentmods.dev/skills/open-octo/octo-agent/study-plan)
Your own site
<a href="https://agentmods.dev/skills/open-octo/octo-agent/study-plan"><img src="https://agentmods.dev/badge/skills/open-octo/octo-agent/study-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,581 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00120 $0.03581
Opus 5 $0.00060 $0.01791
Sonnet 5 $0.00024 $0.00716
Haiku 4.5 $0.00012 $0.00358

Measured 4d ago against content hash c99086c1c624, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

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 4d 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.

internal/skills/experts/study-plan/SKILL.md · 251 lines

How it starts

The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: study-plan

坐下来学习却不知道该学什么,是几周时间悄悄溜走的常见原因。这个技能负责 搭一份计划——距考试还有几周、每天几节课、每周哪些学科、用什么方法——然后 根据用户实际完成的练习结果动态调整。是一份活的计划,不是一次性的日历 导出。

它也给 flashcardsweak-point-drilloutline-builder 这些技能提供 一份共享的进度记录,这样用户每次打开对话不用被反复问"今天想学什么"。

置信度纪律

计划是判断,不是教条。清楚标出哪些是估算:

  • 每个知识点的时间估算是一般性参考(基于典型的学习节奏),标注为 估算——用户实际的学习速度会不一样。
  • 学科权重分配来自用户自己报告的薄弱环节和实际练习记录,这部分有 把握。
  • 冲刺模式下的高频考点优先级基于"哪些内容历史上更容易考/更基础"这类 一般性经验,任何"这个肯定会考"的说法都要标 [不确定——历史频率不是 预测]

工作流程

第一步:明确是为什么做计划

我们是为什么制定这份计划?

  1. 一场具体的考试(有明确日期,比如期末考、资格考、语言考试)
  2. 一段学期/学习周期的整体节奏(背诵、刷题、复习交替进行,没有单一 的终点考试)

按用户的回答确定锚点日期。

第二步:逐项收集信息,一次问一个,等回答

逐个问,等回答。 不要一次性把所有问题堆在一起丢给用户。

  • 考试日期: 确认了吗?

  • 要覆盖的学科/知识点: 参考大纲/教学计划,和用户确认"有没有要加/去掉 的"。

  • 最擅长的学科: 优先级最低,仍然复习,但不用重点刷题。

  • 最薄弱的学科: 优先级最高,分配更多学习小节。

  • 每周能投入的小时数: 要现实,不要理想化。"我能做20小时"和"我能连续 8周每周做20小时"是两回事,问用户实际能维持多久的强度。

  • 生活约束现实性核验——必须问,不能跳过。 用户给出小时数之后,问 (一次一个问题,不要跳):

    你说每周[N]小时。在我搭计划之前,说说你这周还有什么安排——工作/上课 (每周几小时)、家庭(带娃、照顾家人)、通勤、锻炼、其他占用时间的事。 计划应该适配你的生活,而不是反过来。一个跟不上的计划,比一个轻一点 但能坚持下来的计划更糟。

    等用户回答,再核对这个小时数现不现实:

    这相当于每个学习日[X]小时,算上[工作/家庭/通勤/其他]。按我的经验这 [现实/偏紧/不现实]。要不要在我搭计划前调整一下每周小时数目标,还是 先按这个来,看第一周实际情况再说?

    即使用户之前已经说过一个目标小时数,这一步也不能跳过——之前说的是 "想要多少",这一步核实的是"能不能坚持"。如果核实后数字更低,用更低的 数字搭计划,并在 confidence_flags 里记下这次调整。

    如果用户拒绝聊生活细节("直接搭就行"),尊重这个选择,但加一条 confidence_flags:"未做生活约束核验;计划假设每周[N]小时可持续, 如果第2周结束时执行率低于[X]%,重新评估。"

  • 偏好的学习方式: 多选。刷题/论述/记忆卡片/搭大纲/定向练习/重读材料。 按用户说的实际会去做的方式来分配安排,而不是理论上最优但用户不会执行 的方式。

  • 每周休息天数: 休息日很重要。排满7/7天的计划通常撑不过第三周。

第二步半:如果用户在跟一门现成的备考课程/教材体系

如果用户已经在跟一套现成的备考课程(网课、教材配套计划表等),这套计划 本身就有一个逐日的安排。这个技能的计划必须在两个角色里选一个——不能在 不把用户拖垮的前提下和现成课程并行跑两套完整课程。

问一个问题,等回答:

你说在跟[课程/教材]的进度表。这份计划可以扮演两种角色,选一个:

  1. 补充。 现成课程是主线,这份计划只负责补:薄弱学科额外加练习、 定向出题、记忆卡片循环。不重建现成课程的日程表,只是叠加在上面。
  2. 替代。 不跟现成课程的进度表了(可能因为节奏不适合你的生活), 这份计划从头搭完整安排——学科、时间、阶段、日程,你放下现成的 进度表。

不要两个都选。两套完整课程互相打架,是很多人在第4周崩掉的原因。

等回答,记入计划:prep_course_mode: 补充 | 替代

如果选补充:日程安排更轻——只加薄弱学科的定向练习,不重复现成课程 已经覆盖的内容。在 confidence_flags 里标注:"补充模式——这份计划假设 你在跟[课程]的主线进度,如果落后了告诉我,我们重新规划。"

Read the full file on GitHub · 251 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 251 lines · 120 tokens per session scan A c99086c1c624

Subscribe to this mod's changes

study-plan is a skill published in the GitHub repository open-octo/octo-agent (96 stars, last pushed yesterday), licensed MIT. It adds 120 tokens to every session and 3,581 once invoked, about $0.0006 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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