weak-point-drill SKILL.md skillB
weak-point-drill from open-octo/octo-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add open-octo/octo-agent/weak-point-drill@git:20260901.401e1ecPins git:20260901.401e1ec in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- open-octo/octo-agent
- Path
internal/skills/experts/weak-point-drill/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260901.401e1ec, committed Sep 1, 2026
- Size
- 5,690 bytes
- Repository stars
- 142
- License
- MIT
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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。"] ``` 5. 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 …
Read the whole file at its exact version.
How to install
mdr add open-octo/octo-agent/weak-point-drill@sha256:2019b36113dbfbe6The line at the top of this page pins the label git:20260901.401e1ec, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_abgbdezi3pxe7kcy)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 1, 2026.
Audit of the latest version
- fail: Frontmatter declares a description
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Size between 200 bytes and 200 KB (5690 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
open-octo/octo-agent · 142 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_abgbdezi3pxe7kcy GET https://markdownregistry.com/api/v1/resolve?ref=open-octo/octo-agent/weak-point-drill GET https://markdownregistry.com/api/v1/blob/2019b36113dbfbe61eb1838d518a94abe2520eb47b4ac5abe932477469cc4d53
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.