[curriculum-eval] curriculum_assessment.py: checkpoint_quality — regex misses :white_check_mark: shortcode, 92/94 pages scored as having no checkp

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Issue 类型
缺陷
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github-actions, markdown, python
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documentation, tooling

调研方向

从 .github/skills/curriculum-quantitative-assessment/curriculum_assessment.py 开始，找到 CHECKPOINT_RE 和 has_prereq_section 正则表达式，它们只匹配字面 emoji。然后检查 Bloom 提示 activity:checkpoint 以及 NUMBERED_HDR_RE 是否也是同样的模式。验证时使用 workshop/04-github-actions-intro.md：第 138 行使用 ✅ 简码，应得出 has_checkpoint=true。当使用简码夹具的单元测试通过，并且重新运行评估时报告检查点存在，即为完成。

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描述

curriculum documentation quality

File: .github/skills/curriculum-quantitative-assessment/curriculum_assessment.py (affects every workshop/*.md)
Overall Score: 6.06 / 10.0 corpus mean (threshold 5.52)

Flagged Dimensions:

Dimension Score Benchmark Delta
checkpoint_quality 0.0 on 92/94 pages ≥ 4 items → 10 −10
scaffolding 5.0 on nearly all pages 10 when section present −5

Root Cause (≤ 2 sentences):
CHECKPOINT_RE = r"##\s+✅\s*Checkpoint" and the scaffolding regex ##\s+📋\s*Before You Start only match literal emoji, but the workshop (per AGENTS.md conventions) writes ## :white_check_mark: Checkpoint and ## :clipboard: Before You Start. Pages are therefore scored as lacking checkpoints and prerequisites despite having them, cutting ~2–3 points from each overall score.

Evidence (quoted from the file):

workshop/04-github-actions-intro.md line 138: ## :white_check_mark: Checkpoint followed by 5 checklist items (scored has_checkpoint: false, checkpoint_quality: 0.0); line 21: ## :clipboard: Before You Start (scored has_prereq_section: false).

Learning Science Rationale:
Valid measurement is a precondition for applying Bloom's, Cognitive Load, or Mayer-based feedback. A false-negative checkpoint metric hides the real signal (retrieval-practice checkpoints, per the testing effect, are present) and sends agents to "fix" pages that are fine, while masking real weaknesses such as low activity density and word count over 800 on side-quest-01-02-environment-reference.md and 05-agentic-workflows-intro.md.

Improvement Prompt (for an agent):

In .github/skills/curriculum-quantitative-assessment/curriculum_assessment.py, update CHECKPOINT_RE to match "## ✅ Checkpoint" OR "## :white_check_mark: Checkpoint" (e.g. r"##\s+(?:✅|:white_check_mark:)\s*Checkpoint", re.IGNORECASE), and update the has_prereq_section regex to accept "## 📋 Before You Start" OR "## :clipboard: Before You Start" OR "## Prerequisites". Also check NUMBERED_HDR_RE/other emoji-dependent patterns and the Bloom "activity:checkpoint" cue use the same updated regex. Add a unit test with a fixture using the shortcode form. Re-run the assessment and confirm that pages like workshop/04-github-actions-intro.md report has_checkpoint=true and checkpoint_quality=10.

Expected Score After Fix: 8.0 / 10.0 corpus mean (up from 6.06)

Generated by 🔬 Curriculum Quality Evaluator · copilot · auto · ~48 AIC · ⌖ ~1 AIC · ⊞ 5K · ◷

  • expires on Nov 14, 2026, 6:04 AM UTC
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