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-accessibility-auditgit 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-accessibility-audit)<a href="https://agentmods.dev/skills/harryx2011-boop/canvaslms-api/canvas-accessibility-audit"><img src="https://agentmods.dev/badge/skills/harryx2011-boop/canvaslms-api/canvas-accessibility-audit/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-accessibility-audit"><img src="https://agentmods.dev/badge/skills/harryx2011-boop/canvaslms-api/canvas-accessibility-audit.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 | $0.00053 | $0.00514 |
| Opus 5 | $0.00026 | $0.00257 |
| Sonnet 5 | $0.00011 | $0.00103 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
canvas-accessibility-audit 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvas Accessibility Audit
Scan a course for accessibility issues, show exactly what would change to fix them, and apply fixes only after confirmation.
Prerequisites
- CanvasLMS - API connected and
canvaslms-api --testsucceeds. - An educator or course-designer level Canvas token.
- The course to audit.
Steps
- Call
scan_course_content_accessibilityfor the course to get the current set of issues across pages and files. - If the institution already has a UFIXIT report for the course, call
fetch_ufixit_reportandparse_ufixit_violationsto fold those violations in alongside the scan results, rather than treating them as a separate list. - Call
format_accessibility_summaryto turn the combined findings into a readable summary, grouped by issue type (alt text, contrast, heading structure, link text, table headers, etc.) and by page/file. - Present the summary to the user. For each fixable issue type, call
fix_accessibility_issueswithoutconfirmto preview the exact change (e.g. proposed alt text, corrected heading level). - Show every proposed fix before applying anything. Let the user approve, reject, or edit individual fixes.
- Call
fix_accessibility_issuesagain withconfirm=true, scoped to only the approved fixes. - Re-run
scan_course_content_accessibilityafter applying fixes to confirm the issue count dropped and report anything that still needs manual attention.
Output format
Summary first:
## Accessibility scan: [Course]
- N missing alt text (pages: ...)
- N contrast issues (pages: ...)
- N heading structure issues (pages: ...)
Then a preview table before any confirm call:
| Location | Issue | Proposed fix |
|---|---|---|
| Page name | Missing alt text on image | "Photo of ..." |
After confirmation: Fixed N of N approved issues. plus a final scan delta (Issues before: X, after: Y). Never call fix_accessibility_issues with confirm=true on an issue that wasn't shown and approved in the preview step.
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 · 46 lines · 53 tokens per session scan A 26cdd0cfb112
canvas-accessibility-audit is a skill published in the GitHub repository harryx2011-boop/CanvasLMS-API (0 stars, last pushed 7d ago), licensed MIT. It adds 53 tokens to every session and 514 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.
Other skills, from other repositories
hps-bauhaus
A visual-design fundamentals course for new brand designers — grid, type, color, and the exercises that build the eye. Built as a decision-grade professional training deck for junior designers, new hires.
hps-memphis-pop
A pop-culture retrospective on how 1980s design language shaped today's apps — the scenes, the turning point, and the takeaway. Built as a decision-grade story deck for talk audience, design community.
html-ppt-zhangzara-playful
A retail sales-floor training on consultative selling — the flow, the role-plays, and the daily habit that lifts conversion. Built as a decision-grade professional training deck for store associates, floor managers.
html-ppt-zhangzara-retro-windows
An IT security-awareness training on spotting phishing — the tells, the drill, and what to do in the first 60 seconds. Built as a decision-grade professional training deck for all employees.
html-ppt-zhangzara-scatterbrain
A design-school graduation project: a civic wayfinding system for a transit hub — the brief, the process, and the outcome. Built as a decision-grade coursework defense deck for crit panel, faculty.
frontend-slides
OpenDesign as a worked AI-workflow example: how local agents read your files and design on your desktop — concretely. Built as a decision-grade AI literacy deck for teams new to AI, leadership.