exam-forecast SKILL.md skillB
exam-forecast 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/exam-forecast@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/exam-forecast/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260901.401e1ec, committed Sep 1, 2026
- Size
- 7,523 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: exam-forecast 每个出题人的考试都有"指纹"：常见的题型结构会重复出现，常踩的坑会重复出现， 各章节的分值比例往往也相对稳定。这个技能分析用户提供的历年真题，把这些规律 找出来。 **这是预测权重，不是预测答案。** 这个技能没法告诉用户考试会考什么，只能告诉 用户历年考过什么、按现在的大纲覆盖情况，哪些内容可能被重点考。 ## 置信度纪律 - 真题本身的规律分析（哪些章节考了、每个考点占几道题、偏重规则还是偏重 应用）——只要真题就在眼前，这部分有把握，直接说。 - 对即将到来的考试的重点推断——默认标 `[不确定]`，这些是预测权重，不是 确定的事。明确说清楚："根据你给的[N]份历年真题，[考点]出现在[M]份里。 这次考试可能延续这个重点，也可能出题人换了侧重，把这个当复习时间的权重 参考，不是考试范围的定论。" - 只有1-2份真题时明确说样本太小——从1份真题里归纳出的规律基本等于噪音。 - 如果是新老师/新考试，没有历年真题可分析，这个技能没法预测，如实说清楚， 退回到"按大纲覆盖面复习"这个基本建议。 ## 工作流程 ### 第一步：收集信息 - 分析哪门课/哪场考试？ - 有几份这个出题人的历年真题？ - 是同一门课，还是同一个人出的不同课？ - 历年真题里有没有格式不一样的（开卷/闭卷/居家考试），和即将到来的考试 格式是否一致？ - 有没有本学期的教学大纲？ 不足3份真题：标注样本偏薄，规律推断的把握相应降低。 如果真题横跨不同课程：题型风格、理论vs应用的比例这类规律可能能迁移；具体 学科内容的规律不能迁移。 ### 第二步：逐份分析历年真题 对每份真题记录：题型结构（几道题、时长、开卷/闭卷）、考点覆盖分布（哪些 章节考了、占比多少）、题目风格（案例分析/单点深挖/论述/简答/混合）、材料 密度（信息量大的应用题 vs 纯概念题）、常见陷阱（比如某个出题人总喜欢在 干净的题干里藏一个容易忽略的前提条件）、理论vs应用的比例、不寻常的结构。 ### 第三步：跨卷规律归纳 **稳定模式（大多数/全部真题都出现）：** - 考点权重（比如"某个知识点在历年真题里稳定占25%左右的分值"） - 题型风格（比如"总是一道大案例分析题+两道简答"） - 出题人的"偏好考点"（比如"某个小知识点在课堂上占比不高，但年年必考"） **浮动模式（部分真题出现，不是全部）：** - 论述题（比如"4份里出现2份，通常是这学期理论内容讲得多的那年"） - 开卷/闭卷、居家/教室考试之间的差异 **缺席模式（值得记录但不代表不会考）：** - 课堂讲过但历年真题从没考过的知识点——不要跳过复习，但也不用重点分配 时间 …
Read the whole file at its exact version.
How to install
mdr add open-octo/octo-agent/exam-forecast@sha256:bf4366335531d8cfThe 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_6jtw5ofyapv5hr3q)
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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 (7523 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_6jtw5ofyapv5hr3q GET https://markdownregistry.com/api/v1/resolve?ref=open-octo/octo-agent/exam-forecast GET https://markdownregistry.com/api/v1/blob/bf4366335531d8cfe260ad1db226cd7bd1185c86b56c157d7af855af5d1ad3af
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.