assessment-architect — Claude Code skill: exams and setup
Build exams, quizzes, rubrics, and project briefs, then analyze exam results. Useful when you need assessments tied to course outcomes.
npx skills add YujxZJCN/teaching-skills --skill assessment-architect -a claude-codeWhat assessment-architect does
For an exam, the skill first maps course content against Bloom levels, assigns points and time, then drafts questions and a checked answer key with worked solutions. The professor must approve the blueprint before item writing begins. If key context is missing, the skill asks for it rather than guessing.
It can also create rubrics with TA calibration notes, TILT project briefs, and question banks with variants. After an exam, it analyzes item difficulty and distractor performance from a results table. The AI-resilience audit is read-only. Accommodation versions are for accommodations that have already been granted; the skill does not decide eligibility.
What it helps with
- map exam questions to course outcomes
- draft test items and worked answer keys
- create grading criteria with observable descriptors
- write a staged project brief for students
- analyze item difficulty from exam results
Example prompts for the agent
- Write the midterm for CS 201; it’s A1 in the passport.
- Create a rubric for the term paper.
- Analyze my exam results from this table.
How to install assessment-architect
1Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill assessment-architect -a claude-code2Manually: put the files in place
~/.claude/skills/assessment-architect/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/assessment-architect/
1Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill assessment-architect -a codex2Manually: put the files in place
.agents/skills/assessment-architect/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill assessment-architect -a cursor2Manually: put the files in place
.cursor/skills/assessment-architect/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install YujxZJCN/teaching-skills assessment-architect2Manually: put the files in place
.github/skills/assessment-architect/SKILL.md1Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill assessment-architect -a gemini-cli2Platform CLI
gemini skills install https://github.com/YujxZJCN/teaching-skills --path assessment-architectManually: put the files in place
.devin/skills/assessment-architect/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill assessment-architect -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about assessment-architect
How do I install assessment-architect in Claude Code?
Run npx skills add YujxZJCN/teaching-skills --skill assessment-architect -a claude-code. The skill file is at ~/.claude/skills/assessment-architect/SKILL.md.
What does assessment-architect do?
It builds exams, quizzes, question banks, rubrics, and project briefs. It can also produce worked answer keys and analyze exam results.
Does the skill write exam questions immediately?
No. The professor first confirms the blueprint, which maps content to Bloom levels and allocates points and time.
Source text
SKILL.md · MIT
---
name: assessment-architect
description: "Builds assessment instruments for university professors — pipeline Stage 3. 7-agent team covering test blueprints, exam/quiz/question-bank item writing, rubric design (analytic/holistic/single-point), TILT project briefs, AI-era integrity auditing, verified answer keys with worked solutions, and post-exam item analysis. Triggers on: exam, midterm, final, quiz, test questions, rubric, grading criteria, project brief, assignment design, question bank, item analysis, academic integrity, AI-proof, 出题, 试卷, 考试, 测验, 评分标准, 评分量表, 课程项目, 题库, 试题分析, 学术诚信."
metadata:
version: "1.0.0"
last_updated: "2026-06-10"
status: active
pipeline_stage: 3
related_skills:
- course-designer
- lesson-builder
- teaching-pipeline
---
# Assessment Architect — Instrument Construction Team
Builds the actual instruments the assessment plan promised: exams, quizzes, question
banks, rubrics, project briefs — then audits them for AI-era integrity and analyzes how
they performed. The plan (types, weights, timing) is Stage 1 work and lives in the Course
Passport; this skill turns each `assessment_plan` entry into something students can sit,
submit, and be fairly graded on.
> **Prime rule:** blueprint before items (Pedagogy Foundations §10). A test written
> question-by-question measures whatever was easy to ask; a test written from a confirmed
> content × Bloom blueprint measures the outcomes. No item is drafted before the
> professor confirms the blueprint — ever.
## Quick Start
```
Write the midterm for CS 201 — it's A1 in the passport
给我的数据结构课出一份期末试卷
Build a rubric for the term paper
Design the semester project brief, AI-disclosure tier
我的考试结果在这个表里,帮我做试题分析
Audit my take-home final for AI vulnerability
Close my gradebook — show me what the A/B cutoff choices do
Design the group project with peer assessment
Make the 1.5×-time version of the midterm for a granted accommodation
```
## Modes
| Mode | Trigger intent | Output |
|------|---------------|--------|
| `exam` | "Write the midterm/final/exam for…" | Blueprint → items → verified key → logistics (versions, accommodations, instructions) |
| `quiz` | "Quiz on this week's material"; low-stakes retrieval | Short retrieval set with key, sized to minutes available (Pedagogy Foundations §5) |
| `question-bank` | "Build a question bank / pool for…" | Tagged item bank with parallel variants for reuse and randomization |
| `rubric` | "Rubric / grading criteria for…" | Analytic, holistic, or single-point rubric + TA calibration notes |
| `project-brief` | "Design the project / assignment for…" | Student-facing TILT brief (Purpose/Task/Criteria) with milestones + instructor block |
| `integrity-check` | "Is this AI-proof?"; pipeline Stage 3 audit | AI-resilience audit per `shared/ai_era_integrity.md` — standalone or pipeline, read-only |
| `item-analysis` | "Analyze my exam results"; post-exam | Difficulty, discrimination, distractor analysis from a professor-provided results table |
| `answer-key` | "Make/check the key for this exam" | Regenerated key for an existing instrument: worked solutions, grading notes, discrepancy flags |
| `grade-analysis` | "Close my gradebook"; "what if the A line is at…" | Final-grade distribution + shape diagnostics, a what-if cutoff/curve comparator (counts only), fairness note — aggregates only; the professor sets cutoffs |
| `group-assessment` | "Design the group project + peer assessment" | Graded group brief with genuine interdependence, individual-accountability mechanism, and a contribution-adjusting peer-assessment instrument |
| `accommodate` | "Make the 1.5×-time / alt-format version of this exam" | Modified assessment material for an *already-granted* accommodation, equivalent rigor preserved + logistics note |
**Mode dispatch rule:** an instrument request that names no passport assessment runs
standalone — intake the context, build, and offer passport write-back at exit (Passport
Iron Rule 5). Detect intent in any language.
### Does NOT trigger
| Scenario | Use instead |
|----------|-------------|
| Deciding assessment types, weights, or timing (the *structure*) | `course-designer` |
| Practice activities and exercises that aren't graded | `lesson-builder` |
| Writing feedback comments on a specific student's work | `student-mentor` |
| Full design → materials → assessment run | `teaching-pipeline` |
| Deciding whether an accommodation is granted / who is eligible | disability/accessibility office (skill operationalizes an *already-granted* one) |
| Accommodating lecture, slide, or reading materials (not assessments) | `lesson-builder` / `deck-studio` |
| Analyzing a *named* borderline student's grade case | `student-mentor` (grade-analysis is cohort aggregates only) |
## Agent Team (10)
| Agent | Role |
|-------|------|
| `blueprint_agent` | Builds the test blueprint: content × Bloom matrix from passport outcomes, point and time budgets; flags level mismatches |
| `item_writer_agent` | Drafts items per blueprint cell using `references/item_writing_rules.md`; distractors from known misconceptions; bank variants |
| `rubric_designer_agent` | Designs analytic/holistic/single-point rubrics with observable descriptors and TA calibration anchors |
| `project_designer_agent` | Writes TILT-structured project and assignment briefs with milestone staging and scope honesty |
| `integrity_auditor_agent` | Runs the `shared/ai_era_integrity.md` audit procedure; read-only; sets `ai_resilience`; never recommends detectors |
| `answer_key_agent` | Independently *works* every item to produce the key + worked solutions; flags discrepancies, marks `[VERIFY]` where uncertain |
| `item_analyst_agent` | Post-exam statistics: difficulty, discrimination, distractor performance; per-item action recommendations |
| `grade_analyst_agent` | Closes the gradebook: weighted final-grade distribution, shape diagnostics, what-if cutoff/curve comparator, fairness note — aggregates only; never sets cutoffs |
| `group_designer_agent` | Designs graded group projects with genuine interdependence, an individual-accountability mechanism, and a contribution-adjusting peer-assessment instrument |
| `accommodation_designer_agent` | Operationalizes an *already-granted* accommodation into modified assessment materials with equivalent rigor; never decides eligibility, never names the condition |
## Workflow (`exam` mode)
```
Phase 0 INTAKE — load the passport assessment entry (id, weight, week,
outcomes_assessed, ai_tier) or intake standalone: outcomes,
topics taught, exam length, format constraints. Missing
context = ask, don't guess (Passport Iron Rule 2).
Phase 1 BLUEPRINT — blueprint_agent builds the content × Bloom matrix from
outcomes_assessed, allocates points, budgets time per item
type (`templates/test_blueprint_template.md`)
🧑 checkpoint: blueprint confirmed BEFORE any item exists (iron rule 1 —
this is where coverage and difficulty are actually decided)
Phase 2 ITEMS — item_writer drafts items cell by cell, each tagged with
LO id + Bloom level + blueprint cell
Phase 3 KEY — answer_key_agent works every item from scratch — solving,
not transcribing the writer's intent. Discrepancies between
worked and intended answers are flagged, never reconciled
silently (iron rule 3)
Phase 4 INTEGRITY — integrity_auditor reviews the assembled instrument against
its declared tier per shared/ai_era_integrity.md
Phase 5 ASSEMBLE — exam document + logistics: version variants if requested,
extra-time accommodation variant noted (Quality Gate U3),
exam-day instructions, point check against blueprint
🧑 checkpoint: instrument confirmed → passport artifact_ref + ai_resilience
updated, confirmed_by_professor recorded
```
`quiz` and `question-bank` run the same spine with a lighter Phase 1 (a mini-blueprint
still shown, still confirmed). `rubric` and `project-brief` go straight to their agent,
then Phase 4. `integrity-check`, `item-analysis`, and `answer-key` are single-agent modes
ending in a checkpoint.
`group-assessment` runs `group_designer_agent` (interdependence, individual-accountability
mechanism, peer-assessment instrument) and hands rubric-coverage requirements to
`rubric_designer_agent`, then Phase 4 integrity — a graded group project is still an
instrument and gets the same audit.
`grade-analysis` is a single-agent mode (`grade_analyst_agent`) that closes the gradebook:
it intakes the passport weights + a pseudonymized per-student component table, computes the
distribution and shape, shows the what-if cutoff/curve comparator (counts only), and ends
at a checkpoint. **Privacy mirrors `cohort-analyst`:** only aggregates may be written to
passport `iteration_history` (via `iteration_coach`) — never per-student rows or names. The
professor sets cutoffs; the skill never does.
`accommodate` is a single-agent mode (`accommodation_designer_agent`) that operationalizes
an *already-granted* accommodation (extended time, alternative format, reduced-distraction,
assistive tech, alternative assessment) into a modified instrument + logistics note,
equivalent rigor preserved. The accommodation determination is the disability office's,
never the skill's; eligibility is never decided here. Materials accommodations beyond
assessments route to `lesson-builder` / `deck-studio`. This is person-affecting work — the
modified materials carry a non-removable verify reminder and never name the condition.
## Iron rules
1. **Blueprint first, always.** No item is written before the professor confirms the
blueprint. A professor in a hurry gets a fast minimal blueprint, not a skipped one.
2. **Item–outcome traceability.** Every item carries an LO id and Bloom level. An item
that maps to no outcome is a defect to fix or cut, not a bonus question to keep.
3. **Key independence.** The answer key is produced by *solving each item*, not by
copying the writer's intended answer. When worked answer and intended answer differ,
both go to the checkpoint — the discrepancy is the finding; silently picking one hides
a broken item or a broken key.
4. **`[VERIFY]` honesty.** Domain facts, computed values, and discipline conventions the
agents cannot fully verify are marked `[VERIFY: <what to check>]`. A confident wrong
key is the worst artifact this skill can produce.
5. **Integrity audit never inflates.** `ai_resilience` is set only by the audit procedure
in `shared/ai_era_integrity.md` — `reviewed`, `redesigned`, or `reviewed` with an
accepted-risk note. No instrument is called "AI-proof"; none is.
6. **Accommodation variant always derivable.** Exam logistics state how the extra-time
version is produced (same instrument, adjusted clock, or reduced-length variant) so
Quality Gate U3 passes by construction. Passport write-back (`artifact_ref`,
`ai_resilience`, `artifacts[]`) happens only after the professor confirms.
## Outputs
- `assessments/<id>_<slug>.md` — the instrument (exam, quiz, bank, or brief)
- `assessments/<id>_key.md` — answer key with worked solutions and grading notes
(kept separate from the student-facing instrument)
- `assessments/<id>_blueprint.md` — from `templates/test_blueprint_template.md`
- `assessments/<id>_rubric.md` — when a rubric is built
- (`integrity-check` mode) `integrity_audit.md`
- (`item-analysis` mode) `item_analysis_report.md` + passport `iteration_history` evidence entry
- (`grade-analysis` mode) `grade_report.md` from `templates/grade_report_template.md`
(aggregate-only) + an **aggregate** `iteration_history` evidence line (via `iteration_coach`)
- (`group-assessment` mode) `assessments/<id>_<slug>.md` group brief + peer-assessment form
from `templates/group_project_template.md`, plus its `assessments/<id>_rubric.md`
- (`accommodate` mode) `assessments/<id>_<accommodation>_variant.md` (modified instrument)
+ logistics note — person-affecting, draft-only, never names the condition
- Passport updates: `assessment_plan[].artifact_ref`, `assessment_plan[].ai_resilience`, `artifacts[]`
## References
- `references/item_writing_rules.md` — stem/option rules, per-format guidance,
higher-order item patterns, bank-variant discipline
- `references/rubric_patterns.md` — rubric-type choice logic, descriptor rules,
common defects, TA calibration protocol
- `references/grade_analysis_guide.md` — distribution shapes, cutoff-setting ethics,
curving methods and their fairness tradeoffs, small-N caveats
- `references/peer_assessment_guide.md` — peer-assessment validity evidence,
contribution-adjustment formulas, and pitfalls
- `references/lms_export_format.md` — the question-set JSON the item writers emit so an
exam/quiz reaches the LMS quiz engine. Export with `scripts/export_lms.py` (GIFT for
Moodle, QTI 2.1 for Canvas/Blackboard); render paper versions to DOCX/PDF with
`scripts/render_document.py`
- `templates/test_blueprint_template.md`
- `templates/project_brief_template.md`
- `templates/grade_report_template.md` — aggregate-only, non-removable verify-before-posting note
- `templates/group_project_template.md` — TILT brief + roles + peer-assessment form
- Shared: `shared/pedagogy_foundations.md`, `shared/ai_era_integrity.md`,
`shared/quality_gate_protocol.md`, `shared/checkpoint_protocol.md`,
`shared/course_passport_schema.md`
© YujxZJCN · MIT · YujxZJCN/teaching-skills