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-week-plangit 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-week-plan)<a href="https://agentmods.dev/skills/vishalsachdev/canvas-mcp/canvas-week-plan"><img src="https://agentmods.dev/badge/skills/vishalsachdev/canvas-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.
<a href="https://agentmods.dev/skills/vishalsachdev/canvas-mcp/canvas-week-plan"><img src="https://agentmods.dev/badge/skills/vishalsachdev/canvas-mcp/canvas-week-plan.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 | $0.01212 |
| Opus 5 | $0.00028 | $0.00606 |
| Sonnet 5 | $0.00011 | $0.00242 |
| Haiku 4.5 | $0.00006 | $0.00121 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvas Week Plan
Generate a comprehensive weekly plan for a student, showing all upcoming assignments, current grades, submission status, and pending peer reviews across all enrolled courses.
Prerequisites
- Canvas MCP server must be configured and running in the agent's MCP client (e.g., Claude Code, Cursor, Codex, OpenCode)
- The user must have a student role in their Canvas courses
- No anonymization is needed -- students only see their own data
Steps
1. Get Upcoming Assignments
Call the MCP tool get_my_upcoming_assignments with days_ahead=7 to retrieve all assignments due in the next week.
Data to collect per assignment:
- Assignment name
- Course name or code
- Due date and time
- Point value
- Assignment type (quiz, essay, discussion, etc.)
2. Check Submission Status
Call the MCP tool get_my_submission_status to determine what has been submitted and what has not.
Categorize each assignment as one of:
- Submitted -- already turned in
- Not submitted -- still needs to be done
- Late -- past due but late submissions still accepted
- Missing -- past due, no late submissions accepted
3. Get Current Grades
Call the MCP tool get_my_course_grades to show academic standing for each enrolled course.
Collect per course:
- Current percentage and letter grade
- Impact of upcoming assignments on grade (if calculable)
4. Check Peer Reviews
Call the MCP tool get_my_peer_reviews_todo to find any pending peer reviews.
Collect per pending review:
- Which assignment needs peer review
- How many reviews are required
- Deadline for completing reviews
- Reviews completed vs. remaining
5. Generate the Weekly Plan
Present a structured, actionable plan using the format below. Adjust courses, assignments, and numbers to match the actual data retrieved.
## Your Week Ahead
### Quick Stats
- **Due this week:** 5 assignments
- **Already submitted:** 2
- **Peer reviews pending:** 3
- **Highest priority:** Final Project (100 pts, due Fri)
### By Course
#### CS 101 (Current: 87% B+)
| Assignment | Due | Points | Status |
|------------|-----|--------|--------|
| Quiz 5 | Tue 11:59pm | 20 | Not submitted |
| Lab 8 | Thu 5:00pm | 30 | Submitted |
#### MATH 221 (Current: 92% A-)
| Assignment | Due | Points | Status |
|------------|-----|--------|--------|
| HW 12 | Wed 11:59pm | 25 | Not submitted |
| Final Project | Fri 11:59pm | 100 | Not submitted |
### Peer Reviews Due
- **Essay 2 Peer Review** (ENG 101) - 2 reviews needed by Thu
- **Project Proposal Review** (CS 101) - 1 review needed by Fri
### Suggested Priority Order
1. **Quiz 5** (CS 101) - Due tomorrow, 20 pts
2. **HW 12** (MATH 221) - Due Wed, 25 pts
3. **Peer Reviews** - 3 total, due Thu-Fri
4. **Final Project** (MATH 221) - Due Fri, 100 pts (start early!)
### Grade Impact
- Completing all assignments could raise your grades:
- CS 101: 87% -> 89%
- MATH 221: 92% -> 94%
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.
- 9d ago First seen · 148 lines · 55 tokens per session scan A 810bcbf4d894
canvas-week-plan is a skill published in the GitHub repository vishalsachdev/canvas-mcp (232 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 1,212 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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