Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/kevintsai1202/teaching-site-skillsnpx agentmods add skills/kevintsai1202/teaching-site-skills/course-content-authoringWrote 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/kevintsai1202/teaching-site-skills/course-content-authoring)<a href="https://agentmods.dev/skills/kevintsai1202/teaching-site-skills/course-content-authoring"><img src="https://agentmods.dev/badge/skills/kevintsai1202/teaching-site-skills/course-content-authoring/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/kevintsai1202/teaching-site-skills/course-content-authoring"><img src="https://agentmods.dev/badge/skills/kevintsai1202/teaching-site-skills/course-content-authoring.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 | $0.00156 | $0.02579 |
| Opus 5 | $0.00078 | $0.01290 |
| Sonnet 5 | $0.00031 | $0.00516 |
| Haiku 4.5 | $0.00016 | $0.00258 |
Grade A, and why
course-content-authoring 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 11d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Course Content Authoring
Schema authority: all primitive field names (unit / concept / prompt / task / material / quiz / faq / illustration) come from
_shared/domain-primitives.md. When this skill mentions a field, that file is the source of truth.Filename convention (English-first): all generated files and directories use English names. The mapping from legacy Chinese names is in
_shared/domain-primitives.md§0.
This skill produces the teaching substance of a course: the things a learner reads, copies, listens to, or works through. It anchors every artifact to the outline IDs from course-outline-design, so the next stage (SPA conversion) can wire them up mechanically.
Deliverables (Standard Layout)
course-package/ (your project's content root)
├── day{n}/
│ ├── outline.md ← from outline stage (do NOT edit here)
│ └── content.md ← THIS skill writes: lecture script, prompts, exercises, references
├── shared-scenario.md ← from outline stage
├── supporting-docs.md ← THIS skill writes: FAQ, environment setup, pre-reading
└── materials/ ← THIS skill writes: standalone learner artifacts
├── README.md ← index of materials
└── *.md, *.csv, *.yaml ← samples, templates, datasets
Material Types (Pick What Fits Your Course)
The example workshop uses these — they're examples, not requirements. Decide per course what makes sense:
| Type | Format | When to use |
|---|---|---|
| Lecture script | .md |
Per-day teaching narrative, embedded in content.md |
| Sample document | .md |
A "before" artifact learners will improve (e.g. an FAQ, a policy doc) |
| Tabular dataset | .csv (UTF-8 BOM!) |
Practice data for AI processing exercises |
| Structured config | .yaml |
When the exercise involves declarative configuration |
| PDF reference | .pdf |
Official documents (laws, regulations) — usually external sources |
| Prompt template | .md block |
Domain-specific reusable prompts (this course uses RTFC framework, others may not — adapt to your course's pedagogy) |
| Quiz items | inline in content.md or separate |
Pre-test, post-test, comprehension checks |
| Worksheets | .md |
Fill-in templates learners complete |
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.
- 11d ago First seen · 141 lines · 156 tokens per session scan A 2df26d0fd59d
course-content-authoring is a skill published in the GitHub repository kevintsai1202/teaching-site-skills (49 stars, last pushed 3mo ago), licensed MIT. It adds 156 tokens to every session and 2,579 once invoked, about $0.0008 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 2026-08-30.
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