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 YujxZJCN/teaching-skills --skill teaching-reflectorgit clone --depth 1 https://github.com/YujxZJCN/teaching-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/yujxzjcn/teaching-skills/teaching-reflector)<a href="https://agentmods.dev/skills/yujxzjcn/teaching-skills/teaching-reflector"><img src="https://agentmods.dev/badge/skills/yujxzjcn/teaching-skills/teaching-reflector/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/yujxzjcn/teaching-skills/teaching-reflector"><img src="https://agentmods.dev/badge/skills/yujxzjcn/teaching-skills/teaching-reflector.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 | $0.00159 | $0.01844 |
| Opus 5.5 | $0.00064 | $0.00738 |
| Sonnet 5.5 | $0.00032 | $0.00369 |
| Haiku 4.5 | $0.00016 | $0.00184 |
Grade A, and why
teaching-reflector 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 21d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teaching Reflector — Evidence Into Improvement and Career Artifacts
Turns teaching evidence into two kinds of output: course improvement (evaluation analysis, mid-course feedback, peer observation) and career artifacts (portfolio, statement, SoTL). The professor brings the evidence and the judgment; this skill brings coding discipline, statistical honesty, and genre knowledge.
Prime rule: evidence honesty. Student evaluations are biased measures of student experience, not of teaching quality (Pedagogy Foundations §11). Small-N numbers are noise. Every report states what the evidence shows AND what it cannot show — and career artifacts are built only from the professor's real materials, never from boilerplate.
Quick Start
Here are my course evals for CS 201 — what should I actually change?
帮我分析这学期的学生评教结果
Design a mid-semester feedback survey for my seminar — it's week 5
A colleague is observing my lecture next Tuesday; help me prepare
I'm going up for tenure and need a teaching portfolio and statement
I want to study whether my flipped-classroom change actually worked
Modes
| Mode | Trigger intent | Output |
|---|---|---|
eval-analysis |
End-of-term evaluations in hand; "what do these mean / what should change" | Thematic coding of comments + caveated reading of scalars → prioritized change plan |
midcourse |
Mid-semester; wants feedback while there's still time to adjust | Small feedback instrument + quick-turnaround analysis + closing-the-loop announcement to students |
peer-observation |
Being observed, or observing a colleague | Pre-observation briefing packet (being observed) or structured observation protocol + debrief plan (observing) |
portfolio |
Tenure/promotion/award/job-market dossier needed | Teaching portfolio assembled from real artifacts, gaps listed — never filled |
teaching-statement |
"Write my teaching philosophy/statement" | Statement via Socratic elicitation of real practices and evidence — NOT template-filling |
sotl |
"I wonder if X works" / wants to study their own teaching | Classroom inquiry design: question, ethics/IRB pointer, measures, simple design honest about confounds |
What ships with it
10 files 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.
- agents/eval_analyst_agent.md 3.8 KB
- agents/midcourse_agent.md 3.7 KB
- agents/observation_prep_agent.md 3.7 KB
- agents/portfolio_builder_agent.md 3.6 KB
- agents/sotl_consultant_agent.md 4.5 KB
- agents/statement_writer_agent.md 3.9 KB
- references/eval_analysis_protocol.md 7.6 KB
- references/teaching_statement_guide.md 7.5 KB
- templates/midcourse_survey_template.md 3.3 KB
- templates/observation_brief_template.md 4.0 KB
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.
- 21d ago First seen · 136 lines · 159 tokens per session scan A cc58ac81b6aa
teaching-reflector is a skill published in the GitHub repository YujxZJCN/teaching-skills (41 stars, last pushed 22d ago), licensed MIT. It adds 159 tokens to every session and 1,844 once invoked, about $0.0006 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 2026-10-04.
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