Agent skill

Weak Point Drill

by open-octo in open-octo/octo-agent

针对薄弱知识点定向出题练习,而不是泛泛出一堆题——先定位哪些子主题反复出错, 再加重这些子主题的出题权重,并追踪跨小节的错误规律。Use when 用户说 "考我一下这个知识点""针对我不会的地方出题""我总是这几个概念搞混,帮我 多练练""来一组针对性练习"。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能。

Apache-2.0Auto-check passed

Install Weak Point Drill

skills CLI
$ npx skills add open-octo/octo-agent --skill weak-point-drill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install open-octo/octo-agent weak-point-drill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/open-octo/octo-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/skills/experts/weak-point-drill .claude/skills/weak-point-drill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
weak-point-drill
GitHub stars
125
Token cost
~677 tokens
SKILL.md length
79 words
Files
3
Skills in repo
40
Repo updated
First seen
Licence
Apache-2.0

At a glance

针对薄弱知识点定向出题练习,而不是泛泛出一堆题——先定位哪些子主题反复出错, 再加重这些子主题的出题权重,并追踪跨小节的错误规律。Use when 用户说 "考我一下这个知识点""针对我不会的地方出题""我总是这几个概念搞混,帮我 多练练""来一组针对性练习"。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能。

  • Works in 5 steps: 确认学科、题目数N、题型(选择题/简答/论述,或混合)。 → 生成N道题,按 session_history 里之前错过的子主题加权(如果有历史 → 逐题呈现。每题作答后,展示正确答案+为什么对+为什么其他选项错(如果是 → …
  • 用户说 考我一下这个知识点针对我不会的地方出题我总是这几个概念搞混,帮我 多练练来一组针对性练习。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能
  • SKILL.md covers 置信度纪律, 加载上下文, 小节模式:--session and 出题原则, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Weak Point Drill is an agent skill from open-octo/octo-agent. 针对薄弱知识点定向出题练习,而不是泛泛出一堆题——先定位哪些子主题反复出错, 再加重这些子主题的出题权重,并追踪跨小节的错误规律。Use when 用户说 "考我一下这个知识点""针对我不会的地方出题""我总是这几个概念搞混,帮我 多练练""来一组针对性练习"。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能。

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `PROVENANCE.md`).

The repository describes itself as: Open-source, single-binary, self-hosted AI agent — your models and data stay on your machine. A coding agent on par with Claude Code and a personal assistant lighter than… The licence is Apache-2.0.

When your agent uses it

  • 用户说 考我一下这个知识点针对我不会的地方出题我总是这几个概念搞混,帮我 多练练来一组针对性练习。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能

Example prompts

  • “考我一下这个知识点”
  • “针对我不会的地方出题”
  • “我总是这几个概念搞混,帮我 多练练”
  • “/weak-point-drill”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 确认学科、题目数N、题型(选择题/简答/论述,或混合)。
  2. 生成N道题,按 session_history 里之前错过的子主题加权(如果有历史
  3. 逐题呈现。每题作答后,展示正确答案+为什么对+为什么其他选项错(如果是
  4. 小节结束后,输出
  5. 把结果追加到 ~/.octo/learning-data/study-plan.yaml 的

What it can do on your machine

Read from SKILL.md and the folder at commit fc1385f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Weak Point Drill loads about 677 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 79 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~677

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from open-octo/octo-agent at commit fc1385f, republished under its Apache-2.0 licence (© open-octo). 79 words, ~677 tokens.

Download SKILL.mdSave it as .claude/skills/weak-point-drill/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
weak-point-drill
description
针对薄弱知识点定向出题练习,而不是泛泛出一堆题——先定位哪些子主题反复出错, 再加重这些子主题的出题权重,并追踪跨小节的错误规律。Use when 用户说 "考我一下这个知识点""针对我不会的地方出题""我总是这几个概念搞混,帮我 多练练""来一组针对性练习"。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能。
license
Apache-2.0 (adapted from anthropics/claude-for-legal, law-student/skills/bar-prep-questions; complete terms in LICENSE.txt)
metadata.origin
薄弱子主题加权出题机制、错题归因与跨小节规律追踪、置信度纪律 ("宁可少出题不编规则"),改编自 anthropics/claude-for-legal 的 law-student/skills/bar-prep-questions(Apache-2.0);原技能一大半篇幅是…

Skill: weak-point-drill

泛泛出题效率不高——如果用户在某几个子主题上反复出错,把出题权重往那几个 子主题倾斜,比平均分配到所有主题更有效。这个技能负责:定位薄弱子主题、 按权重出题、讲透每道题对错的原因、追踪跨小节的错误模式是不是真的"卡住了"。

置信度纪律

每道题都在陈述一个规则/事实。一个自信但错误的规则,比不出这道题更糟。

  • 有把握: 规则是学科里公认的基础知识,正常出题。
  • 不确定: 规则有争议、是小众说法、或者不确定自己记得对不对——用 [不确定:原因] 标注在题目/解析里,提醒用户对照教材核实。
  • 不知道: 不编题目。直说"这块我没有可靠的把握,建议跳过或者查教材/ 权威来源确认"。不要为了凑数编一道基于错误规则的题。

加载上下文

如果存在 ~/.octo/learning-data/study-plan.yaml,读取该学科的 session_history,看看之前哪些子主题错得多——出题权重往那些子主题倾斜。 没有这个文件也没关系,直接问用户"最近在哪几个知识点上容易出错"。

小节模式:--session <n>

用户说"来10道关于XX的题"或类似需求时用这个模式。

流程:

  1. 确认学科、题目数N、题型(选择题/简答/论述,或混合)。
  2. 生成N道题,按 session_history 里之前错过的子主题加权(如果有历史 记录);没有历史记录就先泛出一轮,把这次的结果作为后续加权的起点。
  3. 逐题呈现。每题作答后,展示正确答案+为什么对+为什么其他选项错(如果是 选择题)。
  4. 小节结束后,输出:
markdown
## 小节:[学科],[N]题

**得分:** [X]/[N]([百分比])
**错题:** [列表——子主题+错在哪]
**薄弱子主题:** [错误集中的2-3个子主题]
**掌握较好的子主题:** [表现好的部分]

**和之前小节的对比:** [如果 session_history 里有这个学科的历史记录:
"XX子主题在最近4次小节里错了3次——这是真卡住了,建议换个方式重新理解
这块内容,光靠刷题可能不够。" 或者:"XX从40%提升到70%,YY这块还不太
稳。"]
  1. 把结果追加到 ~/.octo/learning-data/study-plan.yaml 的 session_history(如果文件不存在,写到 ~/.octo/learning-data/session-history.yaml):
yaml
session_history:
  - date: 2026-05-08
    subject: 有机化学
    type: weak-point-drill
    n_questions: 10
    score: 6
    weak_subtopics: [亲核取代反应机理, 立体化学命名]

出题原则

按学科实际考察的难度出题,不要故意拔高或降低。子主题分布按薄弱程度加权—— 如果某个子主题历史上错得多,这次小节里它应该占更大比例(比如错得最多的 1-2个子主题占60%左右,其余泛化覆盖)。

答题后的解析格式:

markdown
**正确答案:C**

**为什么是C:** [规则+应用]

**为什么不是A:** [这个选项对应什么误区,为什么在这里不对]
**为什么不是B:** [同上]
**为什么不是D:** [同上]

**记忆要点:** [一句话总结]

追踪跨小节规律

维护一个粗略的统计:哪些子主题、哪些具体错误类型反复出现。小节结束后如果 看到规律,直接说出来:"最近4次小节里有3次在[子主题]上出错,都是同一类 错误([具体描述])。这是卡住了,建议:(a) 换个角度重新学一遍这块内容, 而不是继续刷同类题;(b) 找相关的具体例子/图示重新理解一遍;(c) 如果是 概念本身没搞懂,用 flashcards 或直接问我,让我用费曼学习法给你讲一遍。"

边界

  • 不替代系统学习。 这是针对已经学过、但记不牢/理解不透的内容做定向 强化,不是初次学习新概念的方式——初次学概念用费曼学习法讲解或 outline-builder 搭框架。
  • 不为了凑数编题。 某个学科只有把握出5道靠谱的题,就给5道。硬凑一堆 [不确定] 的猜测题比少几道题更糟。
  • 不预测考试内容。 出题练习针对的是用户自己的薄弱环节,不是猜考试会 考什么——那是 exam-forecast 的事,两者可以配合:先用 exam-forecast 定重点范围,再用这个技能在重点范围内做加权定向练习。
  • 不代替用户判断学习进度。 给出得分和规律,不代替用户决定"这块学够了 没有"。

© open-octo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in internal/skills/experts/weak-point-drill of open-octo/octo-agent.

  • SKILL.md
  • LICENSE.txt
  • PROVENANCE.md

Open the folder on GitHubat commit fc1385f

Compare with similar skills

Weak Point Drill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Weak Point Drill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Weak Point Drill this skillopen-octo/octo-agent125—~677Automated safety check: PassApache-2.0
Drill Medavepoon/buildwithclaude3.6k—~697Automated safety check: NotesMIT
Socratic Drillanthropics/claude-for-legal9.6k3 repos~1.6kAutomated safety check: PassApache-2.0
Weak Internal Linksthedaviddias/Front-End-Checklist74k—~574Automated safety check: PassMIT
Smart Contract Entry Point Analyzertrailofbits/skills7.4k1 repos~2.4kAutomated safety check: NotesCC-BY-SA-4.0
Extension PointsBuilderIO/agent-native7.1k—~2.4kAutomated safety check: PassNone

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Questions about Weak Point Drill

What does Weak Point Drill do?

针对薄弱知识点定向出题练习,而不是泛泛出一堆题——先定位哪些子主题反复出错, 再加重这些子主题的出题权重,并追踪跨小节的错误规律。Use when 用户说 "考我一下这个知识点""针对我不会的地方出题""我总是这几个概念搞混,帮我 多练练""来一组针对性练习"。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能。. Weak Point Drill is an agent skill from open-octo/octo-agent.

When should I use Weak Point Drill?

Weak Point Drill fits situations like: 用户说 考我一下这个知识点针对我不会的地方出题我总是这几个概念搞混,帮我 多练练来一组针对性练习。如果只是想泛泛出几道题不追踪薄弱点,直接出题 即可,不需要加载这个技能.

How do I install Weak Point Drill in Claude Code?

Run `npx skills add open-octo/octo-agent --skill weak-point-drill -a claude-code`. Or copy the skill folder (internal/skills/experts/weak-point-drill in open-octo/octo-agent) into .claude/skills/weak-point-drill in your project. Claude Code loads it when a task matches its description.

How do I install Weak Point Drill in Codex?

Run `npx skills add open-octo/octo-agent --skill weak-point-drill -a codex`. Or copy the skill folder (internal/skills/experts/weak-point-drill in open-octo/octo-agent) into .agents/skills/weak-point-drill in your project. Codex loads it when a task matches its description.

Can I use Weak Point Drill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add open-octo/octo-agent --skill weak-point-drill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weak-point-drill, .gemini/skills/weak-point-drill, .github/skills/weak-point-drill and .opencode/skills/weak-point-drill in your project.

What does Weak Point Drill need to run?

SKILL.md names no scripts, command-line tools or credentials: Weak Point Drill is instructions for the agent only.

Does Weak Point Drill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Weak Point Drill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Weak Point Drill use?

Weak Point Drill is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Weak Point Drill use?

About 677 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Weak Point Drill?

Skills that share tags, products or a category with Weak Point Drill: Drill Me (davepoon/buildwithclaude, 3.6k stars), Socratic Drill (anthropics/claude-for-legal, 9.6k stars), Weak Internal Links (thedaviddias/Front-End-Checklist, 74k stars) and Smart Contract Entry Point Analyzer (trailofbits/skills, 7.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Weak Point Drill?

open-octo (a GitHub organization) maintains it in open-octo/octo-agent, which has 125 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 8, 2026.

Source: open-octo/octo-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.