[curriculum-eval] side-quest-11-06-anthropic-key.md: cognitive_load — 26 new concepts in a 673-word setup task
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 88/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Active
- Tech stack
- github-actions, markdown
- Domain
- documentation
Research direction
Edit workshop/side-quest-11-06-anthropic-key.md, reducing the setup to at most 15 new concepts by linking to earlier explanations of secrets and compilation. Turn the four sections into numbered actions with a verification line while preserving the Checkpoint. Run markdownlint and confirm the revised structure.
Written by the indexing model from the issue text.
Description
File: workshop/side-quest-11-06-anthropic-key.md
Overall Score: 5.37 / 10.0 (corpus mean: 6.09)
Flagged Dimensions:
| Dimension | Score | Benchmark | Delta |
|---|---|---|---|
| cognitive_load | 7.2 | ≥ 8 (≤15 concepts) | -5.5 concepts over |
| active_learning | 3.4 | ≥ 7 | -3.6+ |
Root Cause (≤ 2 sentences):
A short procedural page introduces 26 distinct concepts (API key, secrets, frontmatter, engine, compile, etc.), 11 above the limit. Procedures rely on prior explanation rather than just-in-time cues.
Evidence (quoted from the file):
Get an Anthropic API key / Store the key as a repository secret / Update your workflow frontmatter / Compile your workflow
Learning Science Rationale:
Sweller's Cognitive Load Theory predicts that learners can hold only a few new elements in working memory; exceeding the concept and length budget raises extraneous load and reduces schema formation. Splitting content into focused, chunked pieces with practice between them restores germane load.
Improvement Prompt (for an agent):
Edit workshop/side-quest-11-06-anthropic-key.md: reduce new concepts to ≤ 15 by linking to earlier steps for secrets and compile instead of re-explaining them, and keep each of the four sections to numbered action steps with a verification line. Preserve the Checkpoint. Run markdownlint.
Expected Score After Fix: 6.2 / 10.0
Generated by 🔬 Curriculum Quality Evaluator · copilot · auto · 29.6 AIC · ⌖ 0.746 AIC · ⊞ 10.4K · ◷
- expires on Oct 19, 2026, 3:41 AM UTC
- Dominant language
- JavaScript
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- 53
- Forks
- 35
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 15
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