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generating-practice-questions

Generate educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.

62

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./6.Creating Custom Skills(自定义skills)/generating-practice-questions/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-organized, actionable instruction skill that appropriately offloads templates and topic examples to real bundle files. Its weakest area is workflow clarity, which lacks explicit validation checkpoints despite generating batch output with a hard constraint ('never include answer key').

Suggestions

Add an explicit verification step before output, e.g. 'Before finalizing, verify no answer key or solutions are included and that every learning objective is covered by at least one question.'

De-duplicate the 'One per learning objective, or 3-5 covering main topics if no objectives' rule, which appears in both the Question Structure overview and the Type 1 Coverage section.

DimensionReasoningScore

Conciseness

The body is efficient and avoids explaining concepts Claude already knows (e.g. it just says 'Use pdfplumber for text extraction'), but contains minor trimmable redundancy such as the coverage rule 'One per learning objective, or 3-5 covering main topics' repeated in both the Question Structure and Type 1 sections, fitting 'efficient; minor instances of over-explanation that could be trimmed.'

4 / 5

Actionability

It provides concrete guidance — per-type question counts, required structures, and real example questions like 'Explain the bias-variance tradeoff...' — making the directions mostly executable, with only minor gaps (no inline code skeleton for the coding question), fitting 'mostly executable guidance; concrete code or commands with minor gaps.'

4 / 5

Workflow Clarity

A clear sequence exists (extract input content → generate questions in the ordered T/F, Explanatory, Coding, Use Case → format output), but there are no explicit validation checkpoints or feedback loops (e.g. verifying the answer key was omitted), fitting 'steps listed but validation gaps; sequence present but checkpoints missing or implicit.'

3 / 5

Progressive Disclosure

The body is well-structured with clearly signaled one-level-deep references to real bundle files — templates 'in `assets/` folder' and 'examples_by_topic.md' 'in `references/` folder' — with core guidance inline and bulk material split out, fitting 'good structure; most content is appropriately placed; references mostly clear.'

4 / 5

Total

15

/

20

Passed

Description

78%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is well-crafted, clearly answering both what the skill does and when to use it with natural trigger phrases and a distinct niche. Its main weakness is specificity, naming only one core action rather than enumerating the range of question types it generates.

Suggestions

Broaden the 'what' clause to enumerate concrete actions, e.g. 'Generate true/false, explanatory, coding, and use-case practice questions from lecture notes' to lift specificity.

Consider adding the supported source formats (LaTeX, PDF, Markdown, text) as trigger terms to improve keyword coverage and distinctiveness.

DimensionReasoningScore

Specificity

The phrase 'Generate educational practice questions from lecture notes to test student understanding' names the domain and one concrete action, but does not enumerate several specific actions, matching the anchor for 'names domain and 1-2 concrete actions, but not comprehensive.'

3 / 5

Completeness

It explicitly states what it does ('Generate educational practice questions from lecture notes to test student understanding') and when to use it with concrete trigger phrases, matching the anchor for 'clearly and explicitly answers both what AND when with concrete trigger phrases.'

5 / 5

Trigger Term Quality

The 'Use when' clause lists natural phrases users would say — 'practice questions, exam preparation materials, study guides, or assessment items' — giving good keyword coverage with only minor variations missing, fitting 'good keyword coverage; a few natural terms missing.'

4 / 5

Distinctiveness Conflict Risk

Generating practice questions from lecture notes is a clear niche with distinct triggers, though 'study guides' and 'exam preparation materials' could mildly overlap with general study-skills skills, fitting 'mostly distinct; minor overlap risk with closely related skills.'

4 / 5

Total

16

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
datawhalechina/agent-skills-with-anthropic
Reviewed

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