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 harryx2011-boop/CanvasLMS-API --skill canvas-peer-review-managergit clone --depth 1 https://github.com/harryx2011-boop/CanvasLMS-APIWrote 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/harryx2011-boop/canvaslms-api/canvas-peer-review-manager)<a href="https://agentmods.dev/skills/harryx2011-boop/canvaslms-api/canvas-peer-review-manager"><img src="https://agentmods.dev/badge/skills/harryx2011-boop/canvaslms-api/canvas-peer-review-manager/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/harryx2011-boop/canvaslms-api/canvas-peer-review-manager"><img src="https://agentmods.dev/badge/skills/harryx2011-boop/canvaslms-api/canvas-peer-review-manager.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 | $0.00057 | $0.00463 |
| Opus 5 | $0.00028 | $0.00231 |
| Sonnet 5 | $0.00011 | $0.00093 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
canvas-peer-review-manager 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 10d 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.
What it actually says
Canvas Peer Review Manager
Check peer review completion for an assignment, identify who still owes a review, and send reminders only after the educator approves the message.
Prerequisites
- CanvasLMS - API connected and
canvaslms-api --testsucceeds. - An educator-level Canvas token.
- The course and assignment with peer reviews assigned.
Steps
- Call
get_peer_review_completion_analyticsfor the assignment to get overall completion rate and a per-student breakdown. - Call
get_peer_review_followup_listto get the specific list of students who have not completed their assigned review(s), including who they were assigned to review. - Optionally call
analyze_peer_review_qualityandidentify_problematic_peer_reviewsto also flag completed-but-low-effort reviews (a handful of words, no specific feedback) alongside the missing ones. - Draft the reminder message: name the specific assignment, the specific peer(s) still owed a review, and the deadline if known. Show the draft and the full recipient list to the educator before sending anything.
- Once approved, send it:
- Targeted at flagged reviewers specifically:
message_peer_reviewerswithconfirm=true. - Batch reminder to everyone on the followup list:
send_peer_review_followupswithconfirm=true.
- Targeted at flagged reviewers specifically:
- Report who the message went to.
Output format
Status table first:
| Student | Reviews owed | Reviews completed | Quality flag |
|---|---|---|---|
| Name | 1 | 0 |: |
Then, before sending anything:
## Draft reminder
To: [N students, listed]
<message text>
After sending: Sent to N students. Never call message_peer_reviewers or send_peer_review_followups with confirm=true before the educator has seen and approved both the recipient list and the message text.
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.
- 10d ago First seen · 46 lines · 57 tokens per session scan A 04f5c02c45ae
canvas-peer-review-manager is a skill published in the GitHub repository harryx2011-boop/CanvasLMS-API (0 stars, last pushed 9d ago), licensed MIT. It adds 57 tokens to every session and 463 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.
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