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 aaronnat23/disp8ch --skill canvas-course-opsgit clone --depth 1 https://github.com/aaronnat23/disp8chWrote 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/aaronnat23/disp8ch/canvas-course-ops)<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/canvas-course-ops"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/canvas-course-ops/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/aaronnat23/disp8ch/canvas-course-ops"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/canvas-course-ops.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 | $0.00000 | $0.00159 |
| Opus 5 | $0.00000 | $0.00079 |
| Sonnet 5 | $0.00000 | $0.00032 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
canvas-course-ops 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 Course Ops
Use this skill for course, assignment, and LMS-style operational tasks that need clear status tracking and student-safe messaging.
Use when
- The user is coordinating course content, assignments, or announcements.
- A workflow needs deadlines, ownership, and clear follow-up actions.
Workflow
- Identify the course, audience, and time-sensitive items first.
- Separate source-of-truth data from message drafts or summaries.
- Keep deadlines, missing dependencies, and stakeholder actions explicit.
- Prefer concise checklists and rollout steps over long prose.
- Flag privacy-sensitive student data before quoting or exporting anything.
Deliverable
- Course or assignment summary.
- Action checklist.
- Risks, blockers, and deadlines.
- Safe outbound message draft when needed.
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 · 21 lines · 0 tokens per session scan A aea8580f5658
canvas-course-ops is a skill published in the GitHub repository aaronnat23/disp8ch (100 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 159 tokens. 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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