[curriculum-eval] side-quest-17-07-repo-poisoning.md: cognitive_load — 1234 words and concept overload in a single page
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Evaluación
- Dificultad
- 2/5
- Tiempo estimado
- 1-3 horas
- Aptitud para principiantes
- 82/100
- Tipo de issue
- Documentación
- Claridad
- Bien especificado
- Estado de actividad
- Activo
- Stack tecnológico
- github-actions, markdown
- Área
- content, documentation
Línea de trabajo
Read workshop/side-quest-17-07-repo-poisoning.md and the issue’s improvement prompt. Tighten the attack and rationale sections, then reduce concept overload by moving code samples into <details> blocks or pairing each defence with a short exercise. Keep the preparation section and a checkpoint with at least four specific items; aim for no more than 900 words and 15 new concepts, then run the stated markdownlint command.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
File: workshop/side-quest-17-07-repo-poisoning.md
Overall Score: 4.95 / 10.0 (corpus mean: 6.06)
Flagged Dimensions:
| Dimension | Score | Benchmark | Delta |
|---|---|---|---|
| cognitive_load | 5.8 (1234 words) | ≤ 800 words, ≤ 15 concepts | −434 words; concept_overload flagged |
| active_learning | 2.7 | density ≥ 3 | −0.3 |
| checkpoint_quality | 0.0 (rubric false negative; page has a 6-item checkpoint) | ≥ 4 items | see rubric issue |
Root Cause (≤ 2 sentences):
The page covers the attack, why it matters, four-plus defences (contents: read, safe-outputs, protected-files, network.allowed-domains) and two exercises in one sitting. This overloads working memory and sets the lowest score in Part 2.
Evidence (quoted from the file):
I can name the two gh-aw features (
contents: readandsafe-outputs: create-pull-request) that remove the direct-commit path
Learning Science Rationale:
Cognitive Load Theory (Sweller) holds that novices can process only a few new elements at once; worked-example research suggests introducing one defence, then letting learners apply it, before the next. Splitting the defences section from the exercises (segmenting, per Mayer) reduces extraneous load and lets each exercise directly follow the concept it practises.
Improvement Prompt (for an agent):
Edit workshop/side-quest-17-07-repo-poisoning.md. Reduce to ≤ 900 words and ≤ 15 new concepts: tighten "The Attack" and "Why This Matters", move the long "How AW Defends Against It" code samples into <details> blocks or interleave each defence with a one-step exercise, and remove duplicate explanations. Keep ":clipboard: Before You Start" and the "## :white_check_mark: Checkpoint" with ≥ 4 specific items. Do not number headings. Run `npx --yes markdownlint-cli2 "**/*.md"`.
Expected Score After Fix: 7.5 / 10.0 (after the checkpoint regex is also fixed)
Generated by 🔬 Curriculum Quality Evaluator · copilot · auto · ~42 AIC · ⌖ ~1 AIC · ⊞ 5K · ◷
- expires on Oct 28, 2026, 6:06 AM UTC
- Lenguaje dominante
- JavaScript
- Estrellas
- 56
- Forks
- 40
- Merge medio
- 2 d 7 h
- PR fusionados (30 d)
- 16
Preparar el entorno
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- Sin Dockerfile ni archivo de Docker Compose
- Sin plantilla de pull request
- Sin guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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