Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vishalsachdev/canvas-mcp --skill canvas-morning-checkgit clone --depth 1 https://github.com/vishalsachdev/canvas-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vishalsachdev/canvas-mcp/canvas-morning-check)<a href="https://agentmods.dev/skills/vishalsachdev/canvas-mcp/canvas-morning-check"><img src="https://agentmods.dev/badge/skills/vishalsachdev/canvas-mcp/canvas-morning-check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vishalsachdev/canvas-mcp/canvas-morning-check"><img src="https://agentmods.dev/badge/skills/vishalsachdev/canvas-mcp/canvas-morning-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.01169 |
| Opus 5 | $0.00028 | $0.00584 |
| Sonnet 5 | $0.00011 | $0.00234 |
| Haiku 4.5 | $0.00006 | $0.00117 |
Grade A, and why
canvas-morning-check scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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=truein the Canvas MCP server environment to anonymize supported student identity fields in output. When enabled, names render asStudent_xxxxxxxxhashes. 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:
- Call
list_assignmentsto find assignments with a due date in the past 7 days. - For each recent assignment, call
get_assignment_analyticsto 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:
| Urgency | Criteria |
|---|---|
| Critical | Missing 3+ assignments in the past 2 weeks, or average grade below 60% |
| Needs attention | Missing 2 assignments, or average grade 60--70%, or 3+ late submissions |
| On track | All 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:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 128 lines · 55 tokens per session scan A e526b1451f17
canvas-morning-check is a skill published in the GitHub repository vishalsachdev/canvas-mcp (236 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 1,169 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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