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 PracticalSwan/agent-skills --skill course-content-mapgit clone --depth 1 https://github.com/PracticalSwan/agent-skillsWrote 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/practicalswan/agent-skills/course-content-map)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/course-content-map"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/course-content-map/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/practicalswan/agent-skills/course-content-map"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/course-content-map.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 | $0.00029 | $0.00817 |
| Opus 5.5 | $0.00012 | $0.00327 |
| Sonnet 5.5 | $0.00006 | $0.00163 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
course-content-map 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 1mo 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Course Content Map
Use this skill when a task asks about project structure, course materials, assignments, deadlines, or where to find a resource.
Workflow
- Read root
AGENTS.md. - Load durable context from Serena memories first. If Serena is unavailable,
read
docs/memory-bank/README.mdand the relevant fallback memory files. - List the top-level folders and the smallest relevant subtree.
- Prefer file names, README files, notebook metadata, CSV headers, and document metadata before reading large content.
- For notebooks, summarize purpose from markdown cells, headings, imports, and output names.
- For CSVs, report path, shape, columns, likely target column, and sensitivity.
- Record durable project facts in Serena memory. If Serena is unavailable,
update the appropriate file under
docs/memory-bank/. - Record process lessons or user corrections in
LESSONS.mdonly when they are lessons from the work itself.
Safety
- Do not execute notebooks.
- Do not extract ZIP files unless the user explicitly asks.
- Do not use git or GitHub workflow tools.
- Do not use Google Workspace or Google service automation.
Cross-Client Portability
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
- GitHub Copilot: keep the folder in a Copilot-visible skill path or wrap the workflow in project instructions when folder discovery is unavailable.
- Claude Code: keep the folder in a local skills directory or a compatible plugin source.
- Codex: install or sync the folder into
$CODEX_HOME/skills/course-content-mapand restart Codex after major changes.
MCP Availability And Fallback
Preferred MCP Server: None required
- Fallback prompt: "Use the Course Content Map skill without MCP. Rely on its local instructions, bundled resources, standard shell or editor tools, and direct verification. Show the evidence used before concluding."
- Do not claim an MCP operation was used when the active host does not expose it.
- Treat local files, tests, rendered outputs, logs, or screenshots as the fallback evidence path.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed 08d178192df8
- 1mo ago Changed 99142fea7eb7
- 1mo ago Changed 86d4918c3f80
- 1mo ago First seen · 83 lines · 29 tokens per session scan A b6dc63560f05
course-content-map is a skill published in the GitHub repository PracticalSwan/agent-skills (22 stars, last pushed 8d ago), licensed MIT. It adds 29 tokens to every session and 817 once invoked, about $0.0001 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 2026-08-30.
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