canvas-week-plan

canvas-week-plan is a skill for Claude Code from bruchris/canvas-lms-mcp. It costs 69 tokens per session (1,076 once invoked), scanned A, original, MIT.

A Canvas weekly planner for students that gathers assignments, due dates, grades, missing work, events, and peer reviews into one plan. Canvas is a learning platform used to manage courses and coursework.

In plain words
What is it for?
Use it to plan the week, prioritise upcoming or missing work, and include class events, exams, office hours, and peer-review duties.
Why use it?
It removes the need to check each course separately and helps show what needs attention during the next seven days.

Skill for Claude Code

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

Part of the canvas-lms-mcp plugin — 16 skills, 5 agents, 2 MCP servers shipped together

Good fit Use it to plan the week, prioritise upcoming or missing work, and include class events, exams, office hours, and peer-review duties.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bruchris/canvas-lms-mcp/canvas-week-plan
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-week-plan
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 16 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-week-plan

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/bruchris/canvas-lms-mcp/canvas-week-plan"><img src="https://agentmods.dev/badge/skills/bruchris/canvas-lms-mcp/canvas-week-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,076 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 $0.00069 $0.01076
Opus 5 $0.00034 $0.00538
Sonnet 5 $0.00014 $0.00215
Haiku 4.5 $0.00007 $0.00108

Measured 11d ago against content hash 28acbe0b3d75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

canvas-week-plan 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.

skills/canvas-week-plan/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Canvas Week Plan

Build a focused weekly action plan by pulling everything due, missing, or upcoming from Canvas into a single prioritised view.

Prerequisites

  • Canvas MCP server must be running and connected.
  • You must be logged in as a student (or have a student token) — this skill uses student-scoped endpoints.

Steps

1. Load Active Courses

Call get_my_courses to retrieve the student's currently enrolled courses. Note each course ID and name — you will need them for per-course lookups.

2. Fetch Upcoming Assignments

Call get_my_upcoming_assignments to get assignments due within the next 7 days across all courses. Note due dates, point values, and submission types.

3. Check the To-Do List

Call get_todo_items to retrieve any Canvas-generated action items (assignments needing submission, quizzes needing completion). Merge with the upcoming assignments list, deduplicating by assignment ID.

4. Check Upcoming Calendar Events

Call get_upcoming_events to surface any class sessions, office hours, or exam blocks scheduled this week. Include these in the timeline alongside assignment due dates.

5. Review Recent Submissions and Grades

Call get_my_grades to get current grades per course (useful for prioritisation — a course where the grade is borderline deserves more attention this week).

Call get_my_submissions for each course where the student has recent activity to check which assignments are submitted, pending review, or returned with feedback.

For any course whose grade is borderline (near a letter-grade or pass boundary), call project_grade with the course ID and a target — a percentage like 90 or a letter like "A". It returns the minimum uniform percentage needed on all remaining assignments to reach that target, a feasibility flag (achievable / already_secured / impossible), and a plain-language summary. This turns "this course is borderline" into a concrete weekly goal — e.g. "average 84% on the three remaining assignments to hold an A-". project_grade accounts for assignment-group weights and drop rules; it does not factor in late penalties.

Read the full file on GitHub · 89 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. 11d ago First seen · 89 lines · 69 tokens per session scan A 28acbe0b3d75

Subscribe to this mod's changes

canvas-week-plan is a skill published in the GitHub repository bruchris/canvas-lms-mcp (5 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,076 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

review-animations

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

classroomio/classroomio · 34 tokens

ship-feature

End-to-end feature delivery — implement a feature, verify builds/tests pass, open a fully-filled draft PR, then automatically push every feedback round and review iteration to the same PR. Use when the user asks to implement or build a feature, fix-and-ship a change, or iterate on an existing feature PR.

classroomio/classroomio · 66 tokens

ss-learn

Capture a human-approved UI design lesson as a privacy-minimized local StyleSeed candidate, review it, and prepare an opt-in share package without transmitting project code, prompts, screenshots, or brand data. Use when a person asks StyleSeed to remember, learn from, generalize, review, or prepare a reusable rule…

bitjaru/styleseed · 73 tokens

mindos

MindOS: local knowledge assistant & shared KB. Keeps decisions, notes, SOPs, debugging lessons, research findings, preferences across sessions/agents. Core: save notes, search KB, organize files, run workflows, review, append CSV, hand off context, distill lessons. NOT for app source or paths outside KB. Triggers…

GeminiLight/MindOS · 136 tokens

vertical-hr-recruiting

Domain-knowledge primer for the HR & recruiting vertical (ATS, onboarding, workforce scheduling, engagement). Applied by architect/pm during spec authoring so they aren't naive about hiring pipelines, the admitted offer→onboard data-carry gap, EEO/I-9 compliance, and shift-coverage rules. Stops the four products from…

avelikiy/great_cto · 90 tokens

vertical-real-estate

Residential-proptech domain knowledge so architect / pm aren't naive when speccing real-estate products (listings, lead-crm, transaction-coordination, property-mgmt). Codifies MLS/IDX reality, listing status lifecycle + syndication canonical-source, long-cycle lead nurture, transaction-coordination as the high-pain…

avelikiy/great_cto · 99 tokens