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Agent Skill · 研究检索

canvas-morning-check(画布晨检)

canvas-morning-check 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

canvas-morning-check 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 39,921。

总安装 1,348周安装 54GitHub Stars 115下载 436核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:canvas-morning-check(画布晨检)
来源仓库:https://github.com/vishalsachdev/canvas-mcp
仓库路径:skills/canvas-morning-check
安装命令:
npx skills add https://github.com/vishalsachdev/canvas-mcp --skill canvas-morning-check
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vishalsachdev/canvas-mcp --skill canvas-morning-check

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

canvas-morning-check 为教师提供每日课程健康检查,汇总未交作业、待支持学生和即将到期任务。适合教学日开始前快速掌握班级动态,辅助及时干预与资源调配,提升教学管理效率。需 educator 或 instructor 权限,连接 Canvas MCP 服务器后可获取个人所授课程数据。

建议启用 ENABLE_DATA_ANONYMIZATION 以匿名化学生姓名,符合教育数据保护规范。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/canvas-morning-check

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/vishalsachdev/canvas-mcp --skill canvas-mornin…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

canvas-morning-check 怎么安装?

在终端执行 npx skills add https://github.com/vishalsachdev/canvas-mcp --skill canvas-morning-check。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

canvas-morning-check 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

canvas-morning-check 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

canvas-morning-check 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

canvas-morning-check 用的人多吗?

公开数据是累计安装 1,348 次,近一周安装 54 次,下载 436 次,GitHub 115 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

canvas-morning-check 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
canvas-morning-check

画布晨检 · 本页

1,348115调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Canvas Morning Check

A comprehensive course health check for educators using Canvas LMS. Run it at the start of a teaching day or week to surface submission gaps, students who need support, and upcoming deadlines -- then take action directly from the results.

Prerequisites

  • Canvas MCP server must be running and connected to the agent's MCP client.
  • The authenticated user must have an educator or instructor role in the target Canvas course(s).
  • FERPA compliance: Set ENABLE_DATA_ANONYMIZATION=true in the Canvas MCP server environment to anonymize student names in all output. When enabled, names render as Student_xxxxxxxx hashes.

Steps

1. Identify Target Course(s)

Ask the user which course(s) to check. Accept a course code, Canvas ID, or "all" to iterate through every active course.

If the user does not specify, prompt:

Which course would you like to check? (Or say "all" for all active courses.)

Use the list_courses MCP tool if you need to look up available courses.

2. Collect Recent Submission Data

For each target course:

  1. Call list_assignments to find assignments with a due date in the past 7 days.
  2. For each recent assignment, call get_assignment_analytics to collect:

- Submission rate (submitted / enrolled) - Average, high, and low scores - Late submission count

3. Identify Struggling Students

Call list_submissions to retrieve student submission records, then flag students based on these thresholds:

UrgencyCriteria
CriticalMissing 3+ assignments in the past 2 weeks, or average grade below 60%
Needs attentionMissing 2 assignments, or average grade 60--70%, or 3+ late submissions
On trackAll submissions current, grade above 70%

Use get_student_analytics for deeper per-student analysis when the user requests it.

4. Check Upcoming Deadlines

Call list_assignments filtered to the next 7 days. For each upcoming assignment, surface:

  • Assignment name
  • Due date and time
  • Point value
  • Current submission count (if submissions have started)

5. Generate the Status Report

Present results in a structured format:

## Course Status: [Course Name]

### Submission Overview
| Assignment | Due Date | Submitted | Rate | Avg Score |
|------------|----------|-----------|------|-----------|
| Quiz 3     | Feb 24   | 28/32     | 88%  | 85.2      |
| Essay 2    | Feb 26   | 25/32     | 78%  | --        |

### Students Needing Support
**Critical (3+ missing):**
- Student_a8f7e23 (missing: Quiz 3, Essay 2, HW 5)

**Needs Attention (2 missing):**
- Student_c9b21f8 (missing: Essay 2, HW 5)
- Student_d3e45f1 (missing: Quiz 3, Essay 2)

### Upcoming This Week
- **Mar 3:** Final Project (100 pts) - 5 submitted so far
- **Mar 5:** Discussion 8 (20 pts)

### Suggested Actions
1. Send reminder to 3 students with critical status
2. Review Essay 2 submissions (78% rate, below average)
3. Post announcement about Final Project deadline

6. Offer Follow-up Actions

After presenting the report, offer actionable next steps:

Would you like me to: 1. Draft and send a message to struggling students (uses send_conversation) 2. Send reminders about upcoming deadlines (uses send_peer_review_reminders or send_conversation) 3. Get detailed analytics for a specific assignment (uses get_assignment_analytics) 4. Check another course

If the user selects option 1, use the send_conversation MCP tool to message the identified students directly through Canvas.

MCP Tools Used

ToolPurpose
list_coursesDiscover active courses
list_assignmentsFind recent and upcoming assignments
get_assignment_analyticsSubmission rates and score statistics
list_submissionsPer-student submission records
get_student_analyticsDetailed per-student performance data
send_conversationMessage students through Canvas inbox

Example

User: "Morning check for CS 101"

Agent: Runs the workflow above, outputs the status report.

User: "Send a reminder to students missing Quiz 3"

Agent: Calls send_conversation to message the identified students with a reminder.

Notes

  • When anonymization is enabled, maintain a local mapping of anonymous IDs so follow-up actions (messaging, grading) still target the correct students.
  • This skill works best as a weekly routine -- Monday mornings are ideal.
  • Pairs well with the canvas-week-plan skill for student-facing planning.

平台分布

Codex

36.24%
按下载量换算158

Claude

31.56%
按下载量换算138

Cursor

17.09%
按下载量换算75

Gemini CLI

8.26%
按下载量换算36

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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