[curriculum-eval] side-quest-11-06-anthropic-key.md: cognitive_load — common-mistakes list duplicates concepts instead of inline verification
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评估
- 难度
- 1/5
- 预计耗时
- 1-3 小时
- 新手友好度
- 78/100
- Issue 类型
- 文档
- 描述清晰度
- 描述清楚
- 活跃度
- 活跃
- 技术栈
- github-actions, javascript, markdown
- 领域
- content, documentation
调研方向
打开 workshop/side-quest-11-06-anthropic-key.md，阅读“Store the key as a repository secret”部分、其中的五个步骤、常见错误区块和 Checkpoint 检查清单。将每个相关错误移到对应步骤之后，作为内联“Verify:”提示，并将关闭标签页的警告放在步骤 1 之前。删除冗余区块，然后运行 issue 中指定的 markdownlint 命令；命令通过且现有检查清单仍原样适用时，即为完成。
由索引模型根据 Issue 内容生成。
描述
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 |
≤15 new concepts → 10.0 |
-2.8 (26 new concepts in 673 words — highest concept density in the flagged set) |
| active_learning | 3.4 |
activity density ≥ 3 → 10.0 |
-6.6 |
Root Cause (≤ 2 sentences):
In only 673 words the page introduces 26 distinct bolded/code terms — secret name, frontmatter keys (engine: claude, network.allowed), four named "common mistakes," and three UI click-paths — giving it the highest concept-per-word ratio among the flagged files (26 concepts / 673 words ≈ 1 new term per 26 words). The content is mostly step-by-step instructions and a "common mistakes" list rather than code the learner writes or checks the learner verifies as they go, so activity_density stays low despite the page's procedural nature.
Evidence (quoted from the file):
- Wrong name: any variation (
anthropic_api_key,ANTHROPIC-API-KEY,CLAUDE_API_KEY) will cause a silent auth failure. The name must be exactlyANTHROPIC_API_KEY.- Copied with extra whitespace: pasting from some tools adds a leading space...
- Closed the Anthropic tab before saving...
- Network allow-list missing...
Learning Science Rationale:
Sweller's Cognitive Load Theory distinguishes intrinsic load (task complexity) from extraneous load (presentation); the four-item "Common mistakes" bullet list immediately after the secret-creation steps adds extraneous load by presenting four hypothetical failure modes before the learner has even completed the primary task once, rather than surfacing them as inline verification checks at the exact step where each mistake could occur. Bloom's taxonomy also places this page at "apply," but none of its instructions ask the learner to self-verify a step's outcome before moving to the next — a missed opportunity for formative checking that would both raise activity_density and reduce the error rate the "Common mistakes" list is trying to prevent.
Improvement Prompt (for an agent):
Open workshop/side-quest-11-06-anthropic-key.md. The "Store the key as a repository secret"
section has a 5-step numbered list followed by a separate "Common mistakes with this secret"
<details> block listing 4 failure modes. Do the following:
1. Move each relevant "common mistake" bullet inline, directly after the numbered step where
that mistake could occur, as a one-line "Verify:" callout instead of a separate end-of-section
list, e.g. after step 4 ("Set the name to ANTHROPIC_API_KEY..."):
Verify: the name is exactly `ANTHROPIC_API_KEY` (no hyphens, no lowercase) and has no leading
or trailing whitespace.
2. Keep the "Closed the Anthropic tab before saving" mistake as a warning before step 1 of key
creation (it must be read before the tab is closed, not after).
3. Remove the now-redundant "Common mistakes with this secret" <details> block once its content
has been distributed inline, so the page doesn't repeat the same guidance twice.
4. Re-run `npx --yes markdownlint-cli2 "workshop/side-quest-11-06-anthropic-key.md"` after
editing and confirm the existing Checkpoint checklist items still apply unchanged.
Expected Score After Fix: 6.4 / 10.0 (active_learning improves via inline verification steps; cognitive_load improves via reduced duplicate concept listing).
Generated by 🔬 Curriculum Quality Evaluator · copilot · auto · 124.3 AIC · ⌖ 8.34 AIC · ⊞ 10.4K · ◷
- expires on Oct 14, 2026, 4:56 AM UTC
- 主要语言
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