Exam Forecast
anthropics/claude-for-legal
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the…
分析同一授课教师的历年考题以揭示模式——科目权重、反复出现的考点陷阱、 偏好的案例假设类型、政策vs法条分析的比例——并预测今年考试可能的重点。
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Install Exam Forecast
$ npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH exam-forecast --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .claude/skills && cp -r skills-src/law-student/skills/exam-forecast .claude/skills/exam-forecast && rm -rf skills-srcUse ~/.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/
Install the "exam-forecast" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/exam-forecast into .claude/skills/exam-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exam-forecast", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/exam-forecastType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH exam-forecast --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .agents/skills && cp -r skills-src/law-student/skills/exam-forecast .agents/skills/exam-forecast && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "exam-forecast" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/exam-forecast into .agents/skills/exam-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exam-forecast", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH exam-forecast --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/law-student/skills/exam-forecast .cursor/skills/exam-forecast && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "exam-forecast" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/exam-forecast into .cursor/skills/exam-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exam-forecast", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zhou210712/claude-for-legal-ZH.git --path law-student/skills/exam-forecast--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH exam-forecast --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/law-student/skills/exam-forecast .gemini/skills/exam-forecast && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "exam-forecast" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/exam-forecast into .gemini/skills/exam-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exam-forecast", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zhou210712/claude-for-legal-ZH exam-forecastInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .github/skills && cp -r skills-src/law-student/skills/exam-forecast .github/skills/exam-forecast && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "exam-forecast" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/exam-forecast into .github/skills/exam-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exam-forecast", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH exam-forecast --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/law-student/skills/exam-forecast .opencode/skills/exam-forecast && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "exam-forecast" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/exam-forecast into .opencode/skills/exam-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exam-forecast", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
exam-forecast- GitHub stars
- 225
- Token cost
- ~936 tokens
- SKILL.md length
- 114 words
- Files
- 1
- Skills in repo
- 122
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
分析同一授课教师的历年考题以揭示模式——科目权重、反复出现的考点陷阱、 偏好的案例假设类型、政策vs法条分析的比例——并预测今年考试可能的重点。
- Works in 7 steps: 加载… → 应用以下工作流。 → 接收历年考题（PDF、粘贴文本或文件路径）。确认样本量。 → …
- SKILL.md covers 目的, 置信纪律, 加载上下文 and 工作流, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Exam Forecast is an agent skill from zhou210712/claude-for-legal-ZH. 分析同一授课教师的历年考题以揭示模式——科目权重、反复出现的考点陷阱、 偏好的案例假设类型、政策vs法条分析的比例——并预测今年考试可能的重点。 当用户说"考试考什么""分析历年考题""预测考试"或分享历年考题时使用。
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The licence is Apache-2.0.
Example prompts
- “分析历年考题”
- “/exam-forecast”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 加载 ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md → 课程、授课教师、考试形式、教学大纲。
- 应用以下工作流。
- 接收历年考题（PDF、粘贴文本或文件路径）。确认样本量。
- 分析每份历年考题：格式、科目覆盖、题型风格、案例事实密度、反复出现的陷阱。
- 跨考题模式分析——哪些稳定，哪些变化。
- 结合当前教学大纲生成预测：科目权重、格式、教师偏好、复习重点。
- 写入 ~/.claude/plugins/config/claude-for-legal/law-student/exam-forecasts/[课程]/forecast-[YYYY-MM-DD].md。定义为权重启发式，非确定预测。
What it can do on your machine
Read from SKILL.md and the folder at commit 2f01c92. 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).
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
Exam Forecast loads about 936 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 114 words of instructions outside code blocks.
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 zhou210712/claude-for-legal-ZH at commit 2f01c92, republished under its Apache-2.0 licence (© zhou210712). 114 words, ~936 tokens.
Download SKILL.mdSave it as
.claude/skills/exam-forecast/SKILL.md (or your agent's skills folder).- name
- exam-forecast
- description
- 分析同一授课教师的历年考题以揭示模式——科目权重、反复出现的考点陷阱、 偏好的案例假设类型、政策vs法条分析的比例——并预测今年考试可能的重点。 当用户说"考试考什么""分析历年考题""预测考试"或分享历年考题时使用。
- argument-hint
- [课程名称, 附历年考题或文件路径]
/exam-forecast
- 加载
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ 课程、授课教师、考试形式、教学大纲。 - 应用以下工作流。
- 接收历年考题（PDF、粘贴文本或文件路径）。确认样本量。
- 分析每份历年考题：格式、科目覆盖、题型风格、案例事实密度、反复出现的陷阱。
- 跨考题模式分析——哪些稳定，哪些变化。
- 结合当前教学大纲生成预测：科目权重、格式、教师偏好、复习重点。
- 写入
~/.claude/plugins/config/claude-for-legal/law-student/exam-forecasts/[课程]/forecast-[YYYY-MM-DD].md。定义为权重启发式，非确定预测。
目的
每位老师的试卷都有指纹。同样的案例假设结构反复出现。同样的陷阱反复回归。同样的科目比例反复再现。有历年考题的学生学得更聪明；没有的学生学得更辛苦。本技能分析你拥有的历年考题并揭示模式。
不是魔法。是预测，不是确定答案。技能不能告诉你考卷上具体有什么——它能告诉你的只是历年考卷上出现过什么，以及基于教学大纲覆盖范围什么可能再次出现。
置信纪律
- 模式分析（哪些科目出现、每个主题多少题、政策题vs法条适用的比例）——当考题清晰地在我面前时有把握。
- 关于今年考试可能重点的推断——
[不确定]是默认状态；这些是预测，非确定。明确表达为"基于你分享的 [N] 份历年考题，[主题] 出现了 [M] 次。你的考试可能重点考查它，也可能老师会轮换考点——将其作为分配复习时间的权重参考，而非确定性预测。" - 如果只有 1-2 份历年考题，明确说明——从 1 份考题推断出的任何模式都是噪音。
- 如果该教师是新教师（无历年考题），技能无法预测。直说；仅退回基于教学大纲的"这些是已覆盖的科目"。
加载上下文
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ 当前课程、考试形式、教学大纲（如有）- 用户提供的历年考题（PDF、粘贴文本、路径）
- 可选：当前课程的教学大纲（用于"截至目前已讲授内容"）
如果上传的历年考题有教师姓名，用它来匹配模式（同一教师的考题是最高信号输入）。如果没有，按科目和结构匹配。 不要要求用户输入教师姓名——使用材料中已有的。如果用户在对话中主动提供也没问题；不要提示。
工作流
第1步：接收材料
- 我们要预测哪门课？
- 该教师有多少份历年考题？
- 它们是同一门课的，还是同一教师不同课程的？
- 其中是否有带回/开卷/不同格式的变体，与你本次考试的典型格式不同？
- 你本次课程的教学大纲？
如果不到 3 份历年考题：标记为样本不足。模式推断更弱。 如果考题来自不同课程：部分模式可迁移（题型风格、政策vs法条比例）；科目特定模式不可迁移。
第2步：阅读每份历年考题
对每份历年考题：
- 格式（题目数量、篇幅、时间限制、开/闭卷）
- 科目覆盖（考查了哪些主题，占比多少）
- 题型风格（案例分析、单争议焦点深入、政策论述、选择题型、混合）
- 案例事实密度（事实密集型假设、事实稀疏侧重法条、或无事实的政策提示）
- 反复出现的陷阱（如教师总是在一个看似干净的案例事实中隐藏管辖权问题；教师总是问例外而非规则）
- 政策vs法条比例
- 特殊结构（论选题 + 选择混合、模拟法庭场景等）
第3步：跨考题模式分析
汇总各份考题中一致的内容：
稳定模式（出现在大多数/全部历年考题中）：
- 科目权重（如"对价和变更持续占考试分数的30%"）
- 题型风格（如"总是1个长案例分析 + 2个短假设题"）
- 教师偏好（如"即使课堂上是小主题，总是考第三人利益"）
变动模式（出现在部分而非全部）：
- 政策论述（如"4份考题中出现了2次——通常是学期后半段有政策密集主题时"）
- 开卷 vs 闭卷差异
- 带回 vs 当堂差异
值得注意的缺失模式：
- 课堂讲授但在历年考题中从未出现过的主题——不要跳过这些，但也不加权重
- 历年考题中出现但不在你当前教学大纲中的主题——可能不再回归
第4步：为本次考试做预测
标题——必需，预测的第一行，无论是在聊天中还是保存的文件中。 根据插件配置 ## Outputs，每个学习产出都带有统一的学习笔记标题。预测是学习产出。不要省略、改写或重定位标题。标题不是学生可以要求删除的免责声明；它是产出的身份标识，防止预测被误认为确定的考题或法律建议：
STUDY NOTES — NOT LEGAL ADVICE（学习笔记 — 非法律建议）结合模式分析与当前教学大纲：
STUDY NOTES — NOT LEGAL ADVICE（学习笔记 — 非法律建议）
# 考试预测——[课程 / 教师]——[日期]
**已分析的历年考题：** [N] 份
**样本置信度：** [不足（<3） / 中等（3-5） / 强（6+）]
**注意事项：** [例如，"其中一份历年考题是开卷期末考；你本次是闭卷。模式迁移不完整。"]
---
## 科目权重（历史数据）
| 主题 | 历年考题权重（平均） | 在当前教学大纲中？ | 预测权重 |
|---|---|---|---|
| [主题1] | [%] | [是/部分/否] | [加重 / 持平 / 减轻] |
## 题型预测
- **可能格式：** [X 个案例分析 + Y 个简答 + Z 个论述，或类似]
- **案例事实密度：** [事实密集 / 稀疏 / 混合]
- **设问风格：** [一个宽泛设问 / 多个具体设问 / 逐项子问题]
## 需警惕的教师偏好
- [主题A] — 出现在 [M / N] 份历年考题中。权重为其在教学大纲中占比的 3-5 倍。
- [主题B] — [模式]
- [陷阱模式] — 如"在其他方面干净的案件事实中隐藏管辖权问题"
## 本学期讲授但历史上很少考查的主题
[列表——不要跳过，但也不要过度加权]
## 复习重点建议
基于历年考题模式和当前教学大纲覆盖：
**重点：** [可能构成考试核心的主题——占复习时间的 40-50%]
**中等：** [辅助主题——30-40%]
**兜底：** [讲授但历史上代表性不足的主题——10-20%，以防万一]
## [不确定——定性说明]
本预测来自 [N] 份历年考题。教师会变化。教师会轮换。历年重点的主题在教学大纲变化时可能被淡化。将其作为分配复习时间的权重启发式，而非确定性预测。考卷将包含意外。第5步：输出位置
写入 ~/.claude/plugins/config/claude-for-legal/law-student/exam-forecasts/[课程]/forecast-[YYYY-MM-DD].md。带版本——如果学生在学期中又获得了另一份历年考题，重新运行并追加。
技能联动
- outline-builder： 预测权重指导大纲深度决策——对重点主题深入
- flashcards： 预测重点主题生成更多记忆卡片
- bar-prep-questions： 与法考备考无关（法考有自己的预测模型）；考试预测适用于课程特定的期末考试
- irac-practice： 使用预测主题作为 IRAC 练习假设的科目领域
本技能不做什么
- 预测具体题目。 历年考题显示模式；它们不显示明天的考题。
- 在没有历年考题的情况下工作。 如果你没有该教师的历年考题，技能无法预测——退回"这里是教学大纲覆盖的内容，复习那些。"
- 替代复习教学大纲上的所有内容。 预测是权重分配，不是排除。因为历史上代表性不足而跳过一个主题，正是学生被坑的方式。
- 考虑你不知道的变化。 如果教师今年转移了重点（例如在课堂讲授中强调了某个新案例），除非你告诉它，技能看不到这种变化。
- 在 1-2 份历年考题上可靠地工作。 样本不足。予以标注。
© zhou210712, 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
Just SKILL.md in law-student/skills/exam-forecast of zhou210712/claude-for-legal-ZH.
Open the folder on GitHubat commit 2f01c92
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| Exam Forecastanthropics/claude-for-legal | 9.6k | 3 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Timesfm ForecastingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.4k | Automated safety check: Notes | Apache-2.0 | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Forecast Accuracy Reviewdavila7/claude-code-templates | 33k | — | ~884 | Automated safety check: Pass | MIT | |
| Commercial Forecasteralirezarezvani/claude-skills | 28k | — | ~3k | Automated safety check: Pass | MIT |
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Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
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Evaluate demand-forecast quality honestly - WMAPE, bias and Forecast Value Added against a naive benchmark over a rolling-origin backtest.
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More from zhou210712/claude-for-legal-ZH
All 122 skills in this repoClaim Chart
zhou210712/claude-for-legal-ZH
构建或审查要件分析表——专利权利要求对照表（侵权、无效或审查）或 民事构成要件分析表（任何诉讼请求或抗辩），每个单元格附精确引用， 缺口检测为优先输出。当用户要求要件分析表、权利要求对照表、 证据对照表、侵权或无效主张、逐要件映射，或问"我们证明[主张]还缺什么"时使用。
Client Intake
zhou210712/claude-for-legal-ZH
结构化接待——实践领域模板、跨领域考点识别、利益冲突标记、分流分类. An agent skill from zhou210712/claude-for-legal-ZH.
Gap Surfacer
zhou210712/claude-for-legal-ZH
参考资料：支持 /regulatory-legal:gaps 和 /regulatory-legal:comments 的共享差距和意见征集跟踪框架。跟踪未关闭的政策差距及其整改状态， 从 policy-diff 中获取差距，呈现开放和即将到期的事项，路由给负责人， 并通过企业通讯工具通知差距负责人，每次发送前需确认。
Launch Review
zhou210712/claude-for-legal-ZH
对照您的框架和风险校准进行全面产品上线审查。当用户说"审查这个上线" "[功能]法务审查""我们能上线吗""[产品]有什么法律问题"或引用了需要 逐类审查备忘录的产品需求文档或上线追踪工单时使用。
Reg Feed Watcher
zhou210712/claude-for-legal-ZH
检查法规动态源，报告自上次检查以来的新事项，按重要度阈值过滤。适用于用户说"检查法规动态"、"有什么新规定"、"法规更新"、从定时任务触发执行，或手动粘贴法规动态进行分类和差异分析时。
Renewal Tracker
zhou210712/claude-for-legal-ZH
展示具有即将到来的取消截止日期的合同，在通知窗口关闭前发出预警， 基于维护的续约登记册运行。当用户询问"什么即将续约""哪些续约即将到期" "我们是否错过了取消窗口""将此添加到续约追踪器"时使用，或按计划运行。
Questions about Exam Forecast
What does Exam Forecast do?
分析同一授课教师的历年考题以揭示模式——科目权重、反复出现的考点陷阱、 偏好的案例假设类型、政策vs法条分析的比例——并预测今年考试可能的重点。. Exam Forecast is an agent skill from zhou210712/claude-for-legal-ZH.
How do I install Exam Forecast in Claude Code?
Run `npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a claude-code`. Or copy the skill folder (law-student/skills/exam-forecast in zhou210712/claude-for-legal-ZH) into .claude/skills/exam-forecast in your project. Claude Code loads it when a task matches its description.
How do I install Exam Forecast in Codex?
Run `npx skills add zhou210712/claude-for-legal-ZH --skill exam-forecast -a codex`. Or copy the skill folder (law-student/skills/exam-forecast in zhou210712/claude-for-legal-ZH) into .agents/skills/exam-forecast in your project. Codex loads it when a task matches its description.
Can I use Exam Forecast 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 zhou210712/claude-for-legal-ZH --skill exam-forecast -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exam-forecast, .gemini/skills/exam-forecast, .github/skills/exam-forecast and .opencode/skills/exam-forecast in your project.
What does Exam Forecast need to run?
SKILL.md names no scripts, command-line tools or credentials: Exam Forecast is instructions for the agent only.
Does Exam Forecast 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 Exam Forecast 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 Exam Forecast use?
Exam Forecast is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Exam Forecast use?
About 936 tokens (SKILL.md is roughly 3.7k 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 Exam Forecast?
Skills that share tags, products or a category with Exam Forecast: Exam Forecast (anthropics/claude-for-legal, 9.6k stars), Timesfm Forecasting (K-Dense-AI/scientific-agent-skills, 48k stars), TimesFM Forecasting (google-research/timesfm, 34k stars) and Forecast Accuracy Review (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Exam Forecast?
zhou210712 (a GitHub user) maintains it in zhou210712/claude-for-legal-ZH, which has 225 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on May 15, 2026.
Source: zhou210712/claude-for-legal-ZH on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.