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answers-ask-user-input

Use when a small amount of missing context would materially improve the answer and tappable options plus a free-text answer can gather it efficiently.

69

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is a lean, highly actionable reference: terse instructions, a concrete JSON invocation example, a typed args schema, and clear positive/negative decision guidance, all well-organized for a self-contained simple skill.

DimensionReasoningScore

Conciseness

The body is terse, lowercase, and instruction-dense with no padding of concepts Claude already knows (e.g., no explanation of what buttons or JSON are); every section earns its place, matching the lean-and-efficient anchor 3.

3 / 3

Actionability

It provides a copy-paste-ready genui invocation example, a fully typed args schema, concrete question examples with options and placeholders, and specific numeric guidance (<=3 questions, 2-4 options), reaching the fully-executable anchor 3.

3 / 3

Workflow Clarity

As a simple single-purpose skill it gives an unambiguous sequence (brief conversational message -> present options -> call tool -> turn done) with no destructive or batch operations requiring validation checkpoints, satisfying the simple-skill anchor 3.

3 / 3

Progressive Disclosure

No bundle files exist; the skill is a self-contained SKILL.md organized into clear, well-labeled sections with no nested references and nothing that should be split out, matching the well-organized anchor 3.

3 / 3

Total

12

/

12

Passed

Description

67%

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 explicitly covers both what the tool does and when to use it with a present 'Use when' clause, but its capability list is abstract and its trigger phrasing leans on widget jargon rather than natural user keywords.

Suggestions

Replace widget jargon ('tappable options', 'free-text answer') with user-natural trigger terms like 'preferences', 'choices', 'constraints', or 'ask the user'.

Add one or two concrete example triggers users would actually say (e.g., 'when the user asks for a recommendation but hasn't stated their preferences') to sharpen distinctiveness and trigger quality.

Tighten the abstract action phrasing ('gather it efficiently') into a concrete capability statement.

DimensionReasoningScore

Specificity

Names the mechanism ('tappable options', 'free-text answer') and the action ('gather it efficiently'), but these are abstract rather than a comprehensive list of concrete actions, matching anchor 2.

2 / 3

Completeness

An explicit 'Use when...' clause answers when, and 'tappable options plus a free-text answer can gather it efficiently' answers what, clearly covering both with an explicit trigger (anchor 3).

3 / 3

Trigger Term Quality

Has a natural-ish trigger ('a small amount of missing context would materially improve the answer') but 'tappable options plus a free-text answer' is widget jargon rather than user-natural language, and common variations like 'preferences' or 'choices' are missing, so it stops at anchor 2.

2 / 3

Distinctiveness Conflict Risk

The tappable-options-plus-free-text mechanism is a fairly distinct niche, but the trigger condition ('missing context would materially improve the answer') is broad enough to overlap with prose-clarifying skills, fitting anchor 2.

2 / 3

Total

9

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
XiaomiMiMo/MiMo-Code
Reviewed

Table of Contents

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