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 bruchris/canvas-lms-mcp --skill canvas-peer-review-trackergit clone --depth 1 https://github.com/bruchris/canvas-lms-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/bruchris/canvas-lms-mcp/canvas-peer-review-tracker)<a href="https://agentmods.dev/skills/bruchris/canvas-lms-mcp/canvas-peer-review-tracker"><img src="https://agentmods.dev/badge/skills/bruchris/canvas-lms-mcp/canvas-peer-review-tracker/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/bruchris/canvas-lms-mcp/canvas-peer-review-tracker"><img src="https://agentmods.dev/badge/skills/bruchris/canvas-lms-mcp/canvas-peer-review-tracker.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 | $0.00092 | $0.02360 |
| Opus 5.5 | $0.00037 | $0.00944 |
| Sonnet 5.5 | $0.00018 | $0.00472 |
| Haiku 4.5 | $0.00009 | $0.00236 |
Grade A, and why
canvas-peer-review-tracker 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvas Peer Review Tracker
Educator workflow for the peer-review surface canvas-lms-mcp actually exposes: list assignments, see who is pending, optionally create new peer-review assignments, and optionally send a reminder via Canvas Conversations. One student at a time, with confirmation before every write.
What this skill does NOT do
canvas-lms-mcp ships 4 peer-review tools today (list_peer_reviews, get_submission_peer_reviews, create_peer_review, delete_peer_review). It does not yet expose any of the analytics, reminder-campaign, or quality-scoring endpoints competing servers ship. This skill stays inside the surface we have. Do not fabricate calls to:
- Completion-rate analytics — there is no
get_peer_review_completion_analytics. Completion percentages must be computed locally from thelist_peer_reviewsresults, not retrieved as a server-side metric. - Comment-quality scoring — there is no
analyze_peer_review_qualityand no way to read the comments students wrote on peer reviews. Do not attempt to "rate" peer review feedback. - Problematic-review detection — there is no
identify_problematic_peer_reviews. The skill cannot flag low-effort reviews automatically; it can only show which reviews are still incomplete. - Peer review comments — there is no
get_peer_review_comments. The skill can show that a review isassignedorcompleted(theworkflow_statefromlist_peer_reviews), not the comment body. - Follow-up lists / dataset export — there is no
get_peer_review_followup_listand noextract_peer_review_dataset. The "who needs reminding" list is built locally fromworkflow_state=assigned. - Bulk reminder campaigns — there is no
send_peer_review_remindersorsend_peer_review_followup_campaign. Reminders go throughsend_conversationone recipient at a time, with the same per-student confirmation pattern ascanvas-at-risk-students. - Auto-generated reports — there is no
generate_peer_review_reportorgenerate_peer_review_feedback_report. Any summary is built by this skill at presentation time; it is not a Canvas artefact.
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.
- 22d ago Changed · +3 lines 37edb237431d
- 1mo ago First seen · 160 lines · 92 tokens per session scan A eb47fa526b0c
canvas-peer-review-tracker is a skill published in the GitHub repository bruchris/canvas-lms-mcp (10 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 2,360 once invoked, about $0.0004 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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