Borrowing it
Nothing to install: this file belongs to grantdehoog/penn-course-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/grantdehoog/penn-course-mcp/main/.claude/skills/penn-course-planning/SKILL.mdgit clone --depth 1 https://github.com/grantdehoog/penn-course-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/grantdehoog/penn-course-mcp/penn-course-planning)<a href="https://agentmods.dev/skills/grantdehoog/penn-course-mcp/penn-course-planning"><img src="https://agentmods.dev/badge/skills/grantdehoog/penn-course-mcp/penn-course-planning/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/grantdehoog/penn-course-mcp/penn-course-planning"><img src="https://agentmods.dev/badge/skills/grantdehoog/penn-course-mcp/penn-course-planning.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 | $0.00087 | $0.01542 |
| Opus 5 | $0.00044 | $0.00771 |
| Sonnet 5 | $0.00017 | $0.00308 |
| Haiku 4.5 | $0.00009 | $0.00154 |
Grade A, and why
penn-course-planning 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Penn course planning
This skill drives the penn-course MCP server (tools are named search_courses,
get_course_details, etc.). It talks to the public Penn Courses / Penn Course Review API,
so data is real and current. No auth is required for catalog data and aggregate ratings.
Detailed reviews are enabled on this setup: a logged-in Penn session cookie
(PENN_COURSES_SESSION_COOKIE) is configured, so get_course_reviews returns full
per-instructor written reviews — not just aggregates. Call get_current_semester to confirm
(reviews_enabled: true). The session cookie expires periodically (logout / Penn timeout);
when it lapses, get_course_reviews silently falls back to public aggregates and reports
auth_status: unauthenticated — that's the cue to refresh the cookie, not a bug.
Conventions (read first)
- Course codes:
SUBJECT-NUMBER, e.g.CIS-1200,MATH-1400,ECON-0100. Always hyphenated and uppercase. If the user writes "CIS 120" or "cis120", normalize toCIS-1200(Penn moved to 4-digit codes;CIS-120→CIS-1200,CIS-160→CIS-1600). - Section ids: course code + 3-digit section, e.g.
CIS-1200-001. - Semester: term code like
2026C(A=spring,B=summer,C=fall). Omit thesemesterargument to use the current term; callget_current_semesterfirst if unsure. - Ratings scale: roughly 0–4. Higher
course_quality/instructor_qualityis better; lowerdifficultyandwork_requiredmean a lighter course. Some courses are unrated (null) — say so rather than treating null as 0. - Meeting times come back already formatted as
HH:MMranges with day codesM T W R F(R = Thursday). Don't re-parse Penn's rawHH.MMencoding yourself.
Tools at a glance
| Goal | Tool |
|---|---|
| Current term + auth status | get_current_semester |
| Find courses by keyword/code | search_courses |
| Full course info + sections | get_course_details |
| Just the sections/meeting times | list_course_sections (filters: open_only, activity) |
| Aggregate ratings | get_course_ratings |
| Detailed PCR reviews | get_course_reviews (falls back to aggregates if unauthenticated) |
| Courses with an attribute / Gen-Ed | find_courses_by_attribute |
| Courses fulfilling a requirement | find_courses_by_requirement |
| Do these sections clash? | check_schedule_conflicts |
| Build a weekly schedule | build_schedule |
| Rank by quality/difficulty/workload | recommend_courses (sort_by=...) |
| Side-by-side comparison | compare_courses |
| List your saved PCP schedules | list_schedules (requires auth) |
| Save a schedule to penncourseplan.com | save_schedule (requires auth — writes to your account) |
| Delete a saved schedule | delete_schedule (requires auth) |
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 · 100 lines · 87 tokens per session scan A abb857c2bd2d
penn-course-planning is a skill published in the GitHub repository grantdehoog/penn-course-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 1,542 once invoked, about $0.0004 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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