accreditation-mapper — скилл для Claude Code
Скилл для преподавателей: связывает цели курса с результатами программы и критериями стандарта, проверяет доказательства и пишет черновик самообследования.
npx skills add YujxZJCN/teaching-skills --skill accreditation-mapper -a claude-codeЧто делает accreditation-mapper
Скилл собирает документацию по аккредитации программы. Он проходит четыре режима: map строит матрицу «цель курса × результат программы × критерий стандарта», evidence собирает индекс доказательств, gap ищет критерии без подтверждённых ячеек, self-study пишет раздел о непрерывном улучшении. Режимы evidence, gap и self-study работают только с уже подтверждённой матрицей — без неё сначала запускается map.
Внутри команда из четырёх субагентов. standards_analyst_agent превращает текст стандарта в реестр критериев, matrix_builder_agent строит матрицу и помечает каждую ячейку как CLAIMED, EVIDENCED или HOLLOW, evidence_assembler_agent описывает, какие артефакты реально есть и чего не хватает, selfstudy_writer_agent пишет текст, где сила утверждения не выше статуса доказательств. Пустые ячейки остаются пустыми.
Текст стандарта и результаты программы преподаватель даёт сам, дословно и в актуальной версии. Обобщённые структуры из references/accreditation_frameworks.md годятся только для ориентира, подставлять их вместо настоящего текста нельзя. Скилл документирует и помечает пробелы, но не перестраивает программу: пересдача курсов и смена требований к диплому вне его задач.
Какие задачи решает
- связать цели курса с результатами программы и критериями стандарта
- проверить, за какой ячейкой матрицы стоит реальное доказательство
- собрать индекс доказательств к визиту комиссии
- найти критерии без подтверждённого покрытия
- написать раздел самообследования, не завышая выводы
Примеры запросов агенту
- Свяжи цели курса CS 201 с результатами программы по ABET и построй матрицу
- Собери пакет доказательств для отчёта об оценке программы
- По каким результатам программы покрытие доказательствами слабое?
Как установить accreditation-mapper
1Через Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill accreditation-mapper -a claude-code2Вручную: положить файлы
~/.claude/skills/accreditation-mapper/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/accreditation-mapper/
1Через Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill accreditation-mapper -a codex2Вручную: положить файлы
.agents/skills/accreditation-mapper/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill accreditation-mapper -a cursor2Вручную: положить файлы
.cursor/skills/accreditation-mapper/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install YujxZJCN/teaching-skills accreditation-mapper2Вручную: положить файлы
.github/skills/accreditation-mapper/SKILL.md1Через Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill accreditation-mapper -a gemini-cli2Командой платформы
gemini skills install https://github.com/YujxZJCN/teaching-skills --path accreditation-mapperВручную: положить файлы
.devin/skills/accreditation-mapper/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add YujxZJCN/teaching-skills --skill accreditation-mapper -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о accreditation-mapper
Как установить accreditation-mapper в Claude Code?
Выполните npx skills add YujxZJCN/teaching-skills --skill accreditation-mapper -a claude-code. Скилл встанет в ~/.claude/skills/accreditation-mapper/SKILL.md.
Что делает accreditation-mapper?
Строит матрицу соответствия целей курса результатам программы и критериям стандарта, собирает доказательства под каждое утверждение, ищет пробелы и пишет черновик самообследования.
Можно ли запустить режим self-study без матрицы?
Нет. Режимы evidence, gap и self-study работают только с подтверждённой матрицей, поэтому сначала запускается map.
Исходный текст
SKILL.md · MIT
---
name: accreditation-mapper
description: "Accreditation and program-assessment documentation for university professors. 4-agent team covering outcome mapping (course LO → program outcome → standard criterion), evidence package assembly, gap analysis, and self-study drafting that never overstates what the evidence shows. Triggers on: accreditation, ABET, AACSB, program outcomes, curriculum map, self-study, assessment report, learning outcomes assessment, continuous improvement report, 专业认证, 工程教育认证, 培养方案, 毕业要求, 课程目标达成, 自评报告, 持续改进, 课程矩阵."
metadata:
version: "1.0.0"
last_updated: "2026-06-10"
status: active
pipeline_stage: 1
related_skills:
- course-designer
- teaching-pipeline
- teaching-reflector
---
# Accreditation Mapper — Outcomes-to-Standards Documentation Team
Handles the compliance layer above the course: mapping course outcomes to program
outcomes to an accreditation standard's criteria, assembling the evidence behind each
mapping, finding the gaps, and drafting self-study prose that a review panel can trust.
This skill extends the suite's alignment idea one level up — the Alignment Gate checks
outcome ↔ assessment ↔ schedule *within* a course; this skill checks course ↔ program ↔
standard, with the same discipline: claims are verified against artifacts, not accepted
because they look complete.
> **Prime rule:** the mapping is the professor's claim; the evidence check is this
> skill's job. A matrix cell saying "LO2 supports Program Outcome 3" is asserted by the
> professor — the skill then verifies whether assessment evidence actually exists behind
> it and labels the cell honestly. A beautiful matrix with hollow cells is documentation
> theater, and review panels can smell it.
## Quick Start
```
Map my CS 201 outcomes to our ABET student outcomes
帮我把课程目标对应到毕业要求,做工程教育认证的课程矩阵
Assemble the evidence package for our program assessment report
Which of our program outcomes have weak assessment coverage?
Draft the continuous-improvement section of our self-study from last year's changes
```
## Modes
| Mode | Trigger intent | Output |
|------|---------------|--------|
| `map` | "Map my course to the program outcomes / standard"; building a curriculum map | Course-LO × program-outcome × criterion matrix with professor-claimed strength and per-cell evidence status (CLAIMED / EVIDENCED / HOLLOW) |
| `evidence` | "Assemble the evidence for…"; preparing for a review visit or assessment report | Evidence package index for a confirmed matrix: what exists (from passport `artifacts[]` + `iteration_history`), provenance per item, what's missing |
| `gap` | "Where is our coverage weak?"; pre-review self-check | Gap analysis: criteria with no or weak coverage across the mapped course(s), prioritized remediation suggestions routed to `course-designer` `redesign` |
| `self-study` | "Draft the self-study section…"; continuous-improvement narrative | Self-study / continuous-improvement section drafted FROM the confirmed matrix + evidence index — every claim footnoted to evidence; thin evidence becomes a hedged claim or an explicit gap statement, never inflation |
**Mode dispatch rule:** `evidence`, `gap`, and `self-study` all consume a confirmed
matrix. If none exists, run `map` first — drafting compliance prose from an unverified
mapping is exactly the failure mode this skill exists to prevent. Detect intent in any
language.
### Does NOT trigger
| Scenario | Use instead |
|----------|-------------|
| Designing or revising the learning outcomes themselves | `course-designer` |
| Analyzing student evaluations or teaching evidence for its own sake | `teaching-reflector` |
| Program-level curriculum redesign (re-sequencing courses, changing degree requirements) | Out of scope — a possible future skill; this skill documents and flags, it does not restructure programs |
## Agent Team (4)
| Agent | Role |
|-------|------|
| `standards_analyst_agent` | Normalizes professor-supplied standards and program outcomes into a criteria register: id, verbatim text, evidence type each criterion demands; flags vague criteria for the professor's interpretation |
| `matrix_builder_agent` | Builds the mapping matrix: LO rows × outcome/criterion columns, professor-claimed strength (I/R/M), per-cell evidence status computed from the passport; flags hollow cells and over-mapping |
| `evidence_assembler_agent` | Inventories what evidence actually exists per confirmed claim, with provenance; lists what's missing with the cheapest honest fix; never fabricates data |
| `selfstudy_writer_agent` | Drafts self-study / continuous-improvement prose from the confirmed matrix + evidence index; claim strength capped by evidence status |
## Workflow (`map` mode)
```
Phase 0 INTAKE — professor supplies the program outcomes AND the standard's
criteria as actual current text (verbatim, with version/year).
The generic structures in references/accreditation_frameworks.md
are scaffolding for orientation only — never a substitute.
Missing standard text = [NEEDS PROFESSOR INPUT], full stop.
🧑 checkpoint: standard version + text confirmed
Phase 1 REGISTER — standards_analyst normalizes criteria into a register: ids,
verbatim text, evidence type demanded (direct / indirect /
process), measurability notes, vague-criterion flags
🧑 checkpoint: register confirmed (incl. professor's reading of vague criteria)
Phase 2 MATRIX — matrix_builder builds course-LO × program-outcome × criterion
matrix; professor claims each cell's strength (Introduce /
Reinforce / Master, or the institution's own scale)
Phase 3 VERIFY — per-cell evidence status from the passport: LO.assessed_by →
assessment_plan → artifacts[] — does the evidence chain exist?
CLAIMED / EVIDENCED / HOLLOW per cell
🧑 checkpoint: matrix + hollow-cell flags + over-mapping counts presented;
professor confirms, revises claims, or accepts gaps knowingly
Phase 4 RECORD — confirmed matrix saved from templates/outcome_matrix_template.md,
pinned to the standard version; this is the artifact the
`evidence`, `gap`, and `self-study` modes consume
```
`evidence` mode runs evidence_assembler over the confirmed matrix →
`templates/evidence_index_template.md`. `gap` mode reads the matrix column-wise
(criteria with no EVIDENCED cells across the mapped courses) and hands remediation
candidates to `course-designer` `redesign`. `self-study` mode requires both the matrix
and the evidence index and runs selfstudy_writer.
## Iron rules
1. **The standard's text comes from the professor — current and verbatim.** Bodies
revise criteria; the reference file's generic structures are labeled
possibly-outdated scaffolding. No current text from the professor → the mapping
target is `[NEEDS PROFESSOR INPUT]`, and no matrix is built against a guess.
2. **Claims and evidence are separated.** The professor claims mappings; the skill
verifies evidence existence. Every cell carries CLAIMED (asserted, chain not yet
checked), EVIDENCED (assessment evidence chain exists in the passport), or HOLLOW
(claimed, no evidence chain). The skill never upgrades a label as a courtesy.
3. **No compliance inflation.** Self-study prose strength is capped by evidence status:
"students demonstrate X" requires an artifact showing it. HOLLOW cells cannot
generate "students demonstrate" sentences — they generate gap statements with
remediation plans, which is what honest continuous improvement looks like.
4. **Read-only on the course design.** Gaps route to `course-designer`; this skill
never edits outcomes to fit a standard. An auditor that rewrites what it audits
stops being an audit — same rule as Gate 1.5, one level up.
5. **Version pinning.** The matrix records which version/year of the standard it maps
against. A standard revision invalidates the matrix loudly — the skill refuses to
reuse a matrix pinned to a superseded version without re-confirmation — never
silently.
## Outputs
- `outcome_matrix.md` — from `templates/outcome_matrix_template.md`; the mapping of
record, version-pinned to the standard
- `evidence_index.md` — from `templates/evidence_index_template.md` (`evidence` mode)
- `gap_analysis.md` — prioritized coverage gaps with remediation routing (`gap` mode)
- `self_study_section.md` — footnoted draft, every factual sentence traceable
(`self-study` mode)
## References
- `references/accreditation_frameworks.md` — generic shapes of ABET, AACSB,
institutional review, and 工程教育认证; evidence-type taxonomy; mapping anti-patterns.
Orientation only — carries its own version warning.
- `templates/outcome_matrix_template.md`
- `templates/evidence_index_template.md`
- Shared: `shared/course_passport_schema.md`, `shared/alignment_gate_protocol.md`,
`shared/checkpoint_protocol.md`
© YujxZJCN · MIT · YujxZJCN/teaching-skills