canvas-bulk-grading

canvas-bulk-grading is a skill for Claude Code, Codex from harryx2011-boop/CanvasLMS-API. It costs 56 tokens per session (492 once invoked), scanned A, original, MIT.

A Canvas tool for grading all submissions to one assignment in a batch, using a rubric or a grading rule. It shows the proposed grades before applying them.

In plain words
What is it for?
Use it to review and approve grades for a class assignment, including rubric scores and comments.
Why use it?
It removes the need to grade each submission separately and helps prevent unintended grade changes by requiring approval first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review and approve grades for a class assignment, including rubric scores and comments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/harryx2011-boop/canvaslms-api/canvas-bulk-grading
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 harryx2011-boop/CanvasLMS-API --skill canvas-bulk-grading
Clone the repo
git clone --depth 1 https://github.com/harryx2011-boop/CanvasLMS-API

Made for: Claude Code, Codex.

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-bulk-grading

README.md
[![agentmods](https://agentmods.dev/badge/skills/harryx2011-boop/canvaslms-api/canvas-bulk-grading/github.svg)](https://agentmods.dev/skills/harryx2011-boop/canvaslms-api/canvas-bulk-grading)
Your own site
<a href="https://agentmods.dev/skills/harryx2011-boop/canvaslms-api/canvas-bulk-grading"><img src="https://agentmods.dev/badge/skills/harryx2011-boop/canvaslms-api/canvas-bulk-grading/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-bulk-grading

Your own site · 80×15
<a href="https://agentmods.dev/skills/harryx2011-boop/canvaslms-api/canvas-bulk-grading"><img src="https://agentmods.dev/badge/skills/harryx2011-boop/canvaslms-api/canvas-bulk-grading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 492 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 $0.00056 $0.00492
Opus 5 $0.00028 $0.00246
Sonnet 5 $0.00011 $0.00098
Haiku 4.5 $0.00006 $0.00049

Measured 9d ago against content hash 91a44b7abbb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

canvas-bulk-grading 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 9d 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-bulk-grading/SKILL.md · 38 lines

What it actually says

Canvas Bulk Grading

Grade multiple submissions for one assignment in a single pass, showing every proposed grade before anything is written to Canvas.

Prerequisites

  • CanvasLMS - API connected and canvaslms-api --test succeeds.
  • An educator-level Canvas token (student tokens cannot grade).
  • The course and assignment to grade, and either a grading rule (e.g. "10 points for a submission, 5 if late") or a rubric already attached to the assignment.

Steps

  1. Call list_submissions for the assignment to see who has submitted, what they submitted, and current grading status.
  2. If grading against a rubric, call get_rubric (via list_rubrics first if the rubric id isn't known) to see the criteria and point values.
  3. Build the proposed grade for each submission:
    • No rubric: call bulk_grade_submissions without confirm to get a preview of the grades that would be applied.
    • Rubric-based: call grade_with_rubric without confirm per submission (or in the batch form if supported) to preview rubric scores and comments.
  4. Present the full preview to the educator as a table before touching anything else. Wait for explicit approval, including any corrections to individual grades.
  5. Re-run the same call(s) with confirm=true only for the submissions approved as-is (or with the educator's corrections applied).
  6. Report which submissions were graded and any that were skipped or failed.

Output format

Preview table, before any confirm call:

| Student | Submission | Proposed grade | Notes |
|---|---|---|---|
| Name | Link/summary | 18/20 | Late, -2 |

After confirmation, a short summary: Graded N of M submissions in [Assignment]. List any skipped or failed submissions with the reason. Never call bulk_grade_submissions or grade_with_rubric with confirm=true on a submission that wasn't shown in a prior preview.

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. 9d ago First seen · 38 lines · 56 tokens per session scan A 91a44b7abbb7

Subscribe to this mod's changes

canvas-bulk-grading is a skill published in the GitHub repository harryx2011-boop/CanvasLMS-API (0 stars, last pushed 7d ago), licensed MIT. It adds 56 tokens to every session and 492 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 2026-08-31.

Related

Other skills, from other repositories

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

book-mirror

Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…

garrytan/gbrain · 138 tokens

miniapp

Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.

yc-software/qm · 25 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens

deck-course-module

A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.

nexu-io/html-anything · 25 tokens

master-yinguang

A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.

xr843/Master-skill · 274 tokens