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 bruchris/canvas-lms-mcp --skill canvas-morning-checkgit clone --depth 1 https://github.com/bruchris/canvas-lms-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/bruchris/canvas-lms-mcp/canvas-morning-check)<a href="https://agentmods.dev/skills/bruchris/canvas-lms-mcp/canvas-morning-check"><img src="https://agentmods.dev/badge/skills/bruchris/canvas-lms-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/bruchris/canvas-lms-mcp/canvas-morning-check"><img src="https://agentmods.dev/badge/skills/bruchris/canvas-lms-mcp/canvas-morning-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00073 | $0.01130 |
| Opus 5 | $0.00036 | $0.00565 |
| Sonnet 5 | $0.00015 | $0.00226 |
| Haiku 4.5 | $0.00007 | $0.00113 |
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 12d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvas Morning Check
Start the teaching day with a prioritised briefing: what needs grading, who hasn't submitted, which deadlines are coming, and which students may need a nudge — all from a single agent session.
Prerequisites
- Canvas MCP server must be running and connected.
- You must have instructor, TA, or admin role in the target courses.
- Privacy notice: student names and submission data are visible in this output. Run this skill only in a private or educator-only session — never in a shared screen or student-facing context. Your institution's Canvas admin token policy governs what data is accessible; you are responsible for handling student information in accordance with FERPA or your local equivalent.
Steps
1. Load Active Courses
Call list_courses to retrieve your currently active courses (use enrollment_type=teacher if needed to filter to courses where you are the instructor). Alternatively, call get_dashboard_cards for a quick overview of courses with pending items.
Note each course ID, name, and enrollment count.
2. Check the Grading Queue (per course)
For each active course, call list_submissions_awaiting_grading with the course ID. This tool is purpose-built for the grading queue: it returns every submission still needing a human grade — both workflow_state=submitted (never graded) and workflow_state=pending_review (Classic Quiz essays Canvas auto-graded but left for manual scoring) — sorted oldest-waiting first and grouped by assignment or quiz. It replaces the old manual list_assignments → per-assignment list_submissions fan-out.
Build a grading backlog table: course → assignment → ungraded count → oldest wait.
Pass
only_pending_review=truefor just the quiz-essay queue. Note: New Quizzes (Quizzes.Next) submissions may not surface here — grade those in the New Quizzes interface.
Also call list_submission_comments_needing_attention for each course to catch submissions where the student left the most recent comment with no reply or grade yet. These are easy to miss and often time-sensitive.
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.
- 12d ago First seen · 88 lines · 73 tokens per session scan A 8eb565bd92c0
canvas-morning-check is a skill published in the GitHub repository bruchris/canvas-lms-mcp (5 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 1,130 once invoked, about $0.0004 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 2026-08-31.
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