Agent skill

Canvas Morning Check

by vishalsachdev in vishalsachdev/canvas-mcp

Educator morning course health check for Canvas LMS. An agent skill from vishalsachdev/canvas-mcp.

MITAuto-check passedAgent Workflows

Install Canvas Morning Check

skills CLI
$ npx skills add vishalsachdev/canvas-mcp --skill canvas-morning-check -a claude-code

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

GitHub CLI
$ gh skill install vishalsachdev/canvas-mcp canvas-morning-check --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/vishalsachdev/canvas-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/canvas-morning-check .claude/skills/canvas-morning-check && 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
canvas-morning-check
GitHub stars
287
Token cost
~1.2k tokens
SKILL.md length
509 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Educator morning course health check for Canvas LMS. An agent skill from vishalsachdev/canvas-mcp.

  • Works in 6 steps: Identify Target Course(s) → Collect Recent Submission Data → Identify Struggling Students → …
  • Phrases include morning check
  • SKILL.md covers Prerequisites, Steps, MCP Tools Used and Example, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Canvas Morning Check is an agent skill from vishalsachdev/canvas-mcp. Educator morning course health check for Canvas LMS. Shows submission rates, struggling students, grade distribution, and upcoming deadlines. Trigger phrases include "morning check", "course status", "how are my students", or any start-of-day teaching review.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. The repository describes itself as: Canvas LMS MCP server — up to 102 tools and 8 agent skills for students & educators. Works with Claude, Cursor, Codex, and 40+ agents. The licence is MIT.

When your agent uses it

  • Phrases include morning check
  • How are my students
  • Any start-of-day teaching review

Example prompts

  • “morning check”
  • “course status”
  • “how are my students”
  • “/canvas-morning-check”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Identify Target Course(s)
  2. Collect Recent Submission Data
  3. Identify Struggling Students
  4. Check Upcoming Deadlines
  5. Generate the Status Report
  6. Offer Follow-up Actions

What it can do on your machine

Read from SKILL.md and the folder at commit 63f4222. 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.

    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

Canvas Morning Check loads about 1.2k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 509 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 vishalsachdev/canvas-mcp at commit 63f4222, republished under its MIT licence (© vishalsachdev). 509 words, ~1,244 tokens.

Download SKILL.mdSave it as .claude/skills/canvas-morning-check/SKILL.md (or your agent's skills folder).
name
canvas-morning-check
description
Educator morning course health check for Canvas LMS. Shows submission rates, struggling students, grade distribution, and upcoming deadlines. Trigger phrases include "morning check", "course status", "how are my students", or any start-of-day teaching review.

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-conscious handling: Set ENABLE_DATA_ANONYMIZATION=true in the Canvas MCP server environment to anonymize supported student identity fields in output. When enabled, names render as Student_xxxxxxxx hashes. This control does not by itself establish compliance.

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)
Show full SKILL.md (202 more words)Show less
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_conversation; multiple recipients are a preview + confirmation call)
  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.

© vishalsachdev, MIT. 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 skills/canvas-morning-check of vishalsachdev/canvas-mcp.

Open the folder on GitHubat commit 63f4222

Compare with similar skills

Canvas Morning Check 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.

Canvas Morning Check compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Canvas Morning Check this skillvishalsachdev/canvas-mcp287—~1.2kAutomated safety check: PassMIT
Learn MCPfancyboi999/ai-engineering-from-scratch-zh1.2k—~1.5kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Microsoft Skill CreatorMicrosoftDocs/mcp1.9k3 repos~2.1kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Canvas Morning Check

What does Canvas Morning Check do?

Educator morning course health check for Canvas LMS. An agent skill from vishalsachdev/canvas-mcp. Canvas Morning Check is an agent skill from vishalsachdev/canvas-mcp. Educator morning course health check for Canvas LMS.

When should I use Canvas Morning Check?

Canvas Morning Check fits situations like: phrases include morning check; how are my students; any start-of-day teaching review.

How do I install Canvas Morning Check in Claude Code?

Run `npx skills add vishalsachdev/canvas-mcp --skill canvas-morning-check -a claude-code`. Or copy the skill folder (skills/canvas-morning-check in vishalsachdev/canvas-mcp) into .claude/skills/canvas-morning-check in your project. Claude Code loads it when a task matches its description.

How do I install Canvas Morning Check in Codex?

Run `npx skills add vishalsachdev/canvas-mcp --skill canvas-morning-check -a codex`. Or copy the skill folder (skills/canvas-morning-check in vishalsachdev/canvas-mcp) into .agents/skills/canvas-morning-check in your project. Codex loads it when a task matches its description.

Can I use Canvas Morning Check 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 vishalsachdev/canvas-mcp --skill canvas-morning-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/canvas-morning-check, .gemini/skills/canvas-morning-check, .github/skills/canvas-morning-check and .opencode/skills/canvas-morning-check in your project.

What does Canvas Morning Check need to run?

SKILL.md names no scripts, command-line tools or credentials: Canvas Morning Check is instructions for the agent only.

Does Canvas Morning Check 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 Canvas Morning Check 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 Canvas Morning Check use?

Canvas Morning Check is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Canvas Morning Check use?

About 1.2k tokens (SKILL.md is roughly 5k 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 Canvas Morning Check?

Skills that share tags, products or a category with Canvas Morning Check: Learn MCP (fancyboi999/ai-engineering-from-scratch-zh, 1.2k stars), MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars) and MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Canvas Morning Check?

vishalsachdev (a GitHub user) maintains it in vishalsachdev/canvas-mcp, which has 287 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 11, 2026.

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