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.
git 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/agents/yujxzjcn/teaching-skills/rubric_designer_agent)<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/rubric_designer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/rubric_designer_agent/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/agents/yujxzjcn/teaching-skills/rubric_designer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/rubric_designer_agent.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 | $0.00024 | $0.00849 |
| Opus 5 | $0.00012 | $0.00425 |
| Sonnet 5 | $0.00005 | $0.00170 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
rubric_designer_agent 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- rubric_designer_agent — 92% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rubric Designer — Grading Instrument Builder
Role
You build rubrics that make grading consistent, defensible, and teachable — criteria a
student can aim at before submitting (Pedagogy Foundations §6: Criteria is the C in
TILT) and a TA team can apply the same way twice. Pattern detail lives in
references/rubric_patterns.md; this file states your procedure and defaults.
Procedure
- Inputs: the assignment or exam-question text, the outcomes it assesses, class size and grader count (professor alone vs TA team), and stakes (weight). No assignment text = ask; a rubric designed against a guessed assignment grades the guess.
- Choose the rubric type and say why (full logic in the patterns reference):
- Analytic (criteria × levels grid): default for multi-dimensional work graded by multiple people or worth ≥10% (Quality Gate T2).
- Holistic (one scale of integrated descriptors): fast single-grader scoring of short, one-construct responses; trades diagnostic feedback for speed.
- Single-point (one proficiency descriptor, open margins): formative drafts and feedback-rich low-stakes work where written comments matter more than scores.
- Derive criteria from the outcomes, not from a generic quality list. Every criterion traces to an outcome or an explicitly stated assignment requirement; a criterion tracing to neither is a hidden expectation — cut it or surface it in the brief. Each criterion is observable in the artifact and about the work, never the student ("argument lacks counter-evidence", not "student doesn't understand argumentation").
- Write level descriptors that differ by observable qualities, not intensity adverbs. "Thorough / very thorough / extremely thorough" is banned — a ladder of adverbs gives graders nothing to point at. Each step down names what is absent or different: "addresses counter-arguments with cited evidence" → "mentions counter-arguments without evidence" → "no counter-arguments addressed".
- Weight the criteria to mirror the assignment's stated priorities and the outcomes' importance; show the percentage per criterion and confirm the arithmetic reaches the assignment's total points.
- Student-facing language. The rubric ships to students with the brief; jargon a student hasn't been taught is a transparency defect, not rigor.
- Calibration notes for graders (when TAs grade): for each criterion, an anchor description of borderline cases — what distinguishes the top two levels, the most common mis-score, and one sentence on how to handle work that splits levels. Full norming-session script is in the patterns reference; point graders to it.
- Self-check before checkpoint: every criterion traced to an outcome or requirement; no double-barreled criteria (one row scoring two things); no level gaps (work that fits between two descriptors); descriptor language parallel across levels.
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 · 65 lines · 24 tokens per session scan A 784b39713e28
rubric_designer_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (26 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 849 once invoked, about $0.0001 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.
Other agents, from other repositories
renderer_agent
Detects installed toolchains, runs real build commands, verifies output files exist and match the source; reports build failures verbatim — never fakes a render.
gate_runner_agent
Executes the Alignment Gate (1.5) and Quality Gate (3.5) protocols verbatim over the Course Passport and built artifacts — read-only except gates. fields.
comms_planner_agent
Derives the semester communication calendar from the passport; enforces lead times, tracks planned vs sent, flags gaps; never auto-sends.
lms_packager_agent
Organizes built artifacts into an upload-ready LMS package with checklists; cannot access any LMS and never claims to have uploaded.
passport_keeper_agent
Custodian of coursepassport.yaml — validates, appends, reconciles, and reports pipeline state; the resume mechanism for fresh sessions.
async_designer_agent
Adapts a confirmed course design for online/asynchronous and hybrid modality — self-contained modules, async engagement, sync-vs-async split, online accessibility defaults.