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 Canvas-LMS-MCP/canvas-teacher-mcp --skill grade-git-programgit clone --depth 1 https://github.com/Canvas-LMS-MCP/canvas-teacher-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/canvas-lms-mcp/canvas-teacher-mcp/grade-git-program)<a href="https://agentmods.dev/skills/canvas-lms-mcp/canvas-teacher-mcp/grade-git-program"><img src="https://agentmods.dev/badge/skills/canvas-lms-mcp/canvas-teacher-mcp/grade-git-program/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/canvas-lms-mcp/canvas-teacher-mcp/grade-git-program"><img src="https://agentmods.dev/badge/skills/canvas-lms-mcp/canvas-teacher-mcp/grade-git-program.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 | $0.00118 | $0.01698 |
| Opus 5 | $0.00059 | $0.00849 |
| Sonnet 5 | $0.00024 | $0.00340 |
| Haiku 4.5 | $0.00012 | $0.00170 |
Grade A, and why
grade-git-program 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
grade-git-program — grade a git coding assignment / quiz question (SUB-SKILL of grade)
Type-specific plug-in for grade, like grade-nb. When a submission is a git coding item (a
git-homework assignment OR a git-program quiz question), grade dispatches HERE, then returns to the
general flow (report → self-challenge → POST). ONE skill covers homework + quiz (they are ~95%
identical): the only difference is STRICTNESS — a quiz question is graded at the strict end
(forbidden-function source check, exact-arrangement tests, a non-algorithm solution below half); a
homework is looser. The weights come from GRADING.md, or from the course's Grading override:
document when its CLAUDE.md declares one.
STATUS: PARTIAL (first grading = M1QP1, 2026-07-08). Autograder(50) + commit-server-time authenticity(§4F.4) are BUILT & wired through the engine; elaboration(30) is judged by Stage B on the instructions rubric. Remaining stubs: quiz-question forbidden-function source-check gate + per-question posting path (TODO below). Do NOT hand-roll grading — it RUNS THROUGH THE ENGINE (see below).
Runs through the engine (never hand-roll)
grade_engine.core.grade(config, code)→graders/ghalready grades GitHub assignments (autograder score viagithub_access.list_runs+parse_total_points_from_log_zip; commit-late). This sub-skill is the METHOD, not a standalone driver — same rule asgrade-nb.- Policy home:
CourseGlobalWorkflow/GRADING.mdPart B (GitHub assignments), plus the course'sGrading override:document when itsCLAUDE.mddeclares one (GRADING.md Q4). Read whichever is in force; this file only adds the git-program-specific method.
Rubric (the in-force weights — see the policy home above)
| Item | Weight | Source |
|---|---|---|
| Repo link submitted | 5% | submission |
| Autograder result (score/100 × this weight) | 50% | engine gh (Layer 1) |
| Elaboration (algorithm + all-inputs correctness + errors/lessons) | 30% | AI Stage B |
| Commit process (timing + count, genuine progression) | 15% | AI Stage B (server-time authenticity) |
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 · 88 lines · 118 tokens per session scan A 13fcc77fa803
grade-git-program is a skill published in the GitHub repository Canvas-LMS-MCP/canvas-teacher-mcp (1 stars, last pushed 25d ago), licensed MIT. It adds 118 tokens to every session and 1,698 once invoked, about $0.0006 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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