canvas-grading-pass

canvas-grading-pass is a skill for Claude Code from bruchris/canvas-lms-mcp. It costs 66 tokens per session (1,343 once invoked), scanned A, original, MIT.

A guided Canvas grading workflow that handles one ungraded submission at a time using an attached rubric when available. Canvas is an online system schools use to collect student work and record grades.

In plain words
What is it for?
Use it to review student submissions, apply rubric criteria, enter scores, and add comments for an assignment.
Why use it?
It keeps grading organised and requires confirmation before each grade or comment is written, reducing accidental changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the canvas-lms-mcp plugin — 17 skills, 5 agents, 2 MCP servers shipped together

Good fit Use it to review student submissions, apply rubric criteria, enter scores, and add comments for an assignment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bruchris/canvas-lms-mcp/canvas-grading-pass
Install

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.

Any agent
npx skills add bruchris/canvas-lms-mcp --skill canvas-grading-pass
Clone the repo
git clone --depth 1 https://github.com/bruchris/canvas-lms-mcp

Made for: Claude Code.

Or install canvas-lms-mcp, the plugin that ships this one along with the rest of its 17 skills, 5 agents, 2 MCP servers.

Wrote 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.

agentmods badge for canvas-grading-pass

README.md
[![agentmods](https://agentmods.dev/badge/skills/bruchris/canvas-lms-mcp/canvas-grading-pass/github.svg)](https://agentmods.dev/skills/bruchris/canvas-lms-mcp/canvas-grading-pass)
Your own site
<a href="https://agentmods.dev/skills/bruchris/canvas-lms-mcp/canvas-grading-pass"><img src="https://agentmods.dev/badge/skills/bruchris/canvas-lms-mcp/canvas-grading-pass/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.

agentmods 80×15 button for canvas-grading-pass

Your own site · 80×15
<a href="https://agentmods.dev/skills/bruchris/canvas-lms-mcp/canvas-grading-pass"><img src="https://agentmods.dev/badge/skills/bruchris/canvas-lms-mcp/canvas-grading-pass.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,343 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01343
Opus 5.5 $0.00026 $0.00537
Sonnet 5.5 $0.00013 $0.00269
Haiku 4.5 $0.00007 $0.00134

Measured 22d ago against content hash 6a1ab8d1fe4e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

canvas-grading-pass 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 22d 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.

skills/canvas-grading-pass/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Canvas Grading Pass

Work through an assignment's ungraded submissions one at a time — viewing the student's work, applying the rubric, entering a score, and adding a comment — with a confirmation gate before each write operation.

Prerequisites

  • Canvas MCP server must be running and connected.
  • You must have instructor or TA role in the target course.
  • The assignment must accept online submissions (file upload, text entry, URL, etc.).

Steps

1. Select the Course and Assignment

Ask the instructor which course and assignment to grade.

If unclear, call list_courses to let them choose a course, then call list_assignments (with the course ID) to select an assignment. Prefer assignments with workflow_state=published and a past due date.

2. Load the Rubric (if attached)

Call list_rubrics for the course to see available rubrics. If the assignment has an associated rubric (check rubric_id in the assignment object from get_assignment), call get_rubric with that rubric ID to retrieve criteria, rating descriptions, and point values.

Display the rubric criteria to the instructor before grading begins so they have it in view throughout.

3. Retrieve Ungraded Submissions

Call list_submissions_awaiting_grading with the course ID and assignment_ids=[<assignment>] to get exactly the submissions still needing a grade — it filters to workflow_state=submitted and pending_review for you and returns them oldest-waiting first, so you grade the longest-waiting students first. (Falling back to list_submissions and filtering workflow_state=submitted locally also works if you want the full submission list.) Present the count:

"Found [n] ungraded submissions for [Assignment]. Grading one at a time."

For assignments with more than 50 students, note: pace your session — Canvas rate-limits write operations. Take a short break between batches of 20–25 submissions if you encounter slowdowns.

4. Grade Each Submission (one at a time)

Read the full file on GitHub · 129 lines

Changes

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.

  1. 22d ago Changed · +3 lines 6a1ab8d1fe4e
  2. 1mo ago First seen · 126 lines · 66 tokens per session scan A 91c7bc44b204

Subscribe to this mod's changes

canvas-grading-pass is a skill published in the GitHub repository bruchris/canvas-lms-mcp (10 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 1,343 once invoked, about $0.0003 per session on Opus 5.5. 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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