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build-interactive-explainers

构建、改造或诊断由可执行模型驱动的交互解释器、计算器与仿真。适用于用户通过参数、状态、步骤或事件理解规律的任务;负责主型分路、reference model、独立 oracle、状态复现、表示忠实、学习任务、专业工具选择及限定 claim,不用于以外部数据分析、持续生产工作流或计分挑战为主的产物。

67

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

73%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.

A well-structured, gated workflow body with strong sequencing, validation, and feedback loops, plus correctly signaled reference files. It is held back by abstract, non-executable guidance in places and dense inline gate prose.

Suggestions

Add at least one worked mini-example (e.g., a concrete archetype-routing or reference-model contract) so the abstract gate directives become actionable.

Consider extracting the per-gate schema details (trigger/inputs/actions/evidence_refs/claim_ceiling/failure_return) into a reference file to reduce inline density and aid navigation.

Provide a concrete checklist or template for the '专业工具与authority接口' selection row so the routing steps are executable rather than descriptive.

DimensionReasoningScore

Conciseness

The body is dense and assumes Claude's competence without explaining basic concepts; nearly every line carries a rule. It is efficient, though a few abstract directive clauses could be tightened.

4 / 5

Actionability

Provides some concrete templates ("用户改变什么 → 模型执行什么 → 观察什么证据 → 最多能解释什么") and a typed archetype table, but most guidance is abstract directives about gates and claim ceilings with no executable specifics or worked examples.

3 / 5

Workflow Clarity

The G1–G8 gates form an explicit ordered sequence, each with 输入与动作/晋升证据/失败返回/Ceiling — concrete validation checkpoints and feedback loops back to earlier gates, plus a 停止与交接 termination section.

5 / 5

Progressive Disclosure

Clear section structure with two well-signaled, one-level-deep references (references/tool-profiles.md, references/patterns.md) that exist as real files; minor organization gaps remain in the dense inline gate descriptions.

4 / 5

Total

16

/

20

Passed

Description

87%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.

A dense, well-bounded description that clearly states what the skill does, when to use it, and when not to. Its only weakness is jargon-laden phrasing in the responsibility list that slightly weakens natural trigger terms.

DimensionReasoningScore

Specificity

Names the domain ("交互解释器、计算器与仿真") and lists several concrete responsibilities (主型分路、reference model、独立 oracle、状态复现、表示忠实), though these read as concerns rather than discrete user-facing actions, leaving minor coverage gaps.

4 / 5

Completeness

Explicitly answers both what ("构建、改造或诊断...") and when ("适用于...任务") plus a negative boundary ("不用于..."), with concrete trigger phrasing in both directions.

5 / 5

Trigger Term Quality

Includes natural terms a user would say ("计算器", "仿真", "交互解释器", "参数、状态、步骤或事件") with good coverage, but the middle clause is heavy on internal jargon (oracle, claim ceiling) that users would not naturally utter.

4 / 5

Distinctiveness Conflict Risk

Clear niche (executable-model-driven explainers/calculators/simulations) with explicit exclusions (外部数据分析、持续生产工作流、计分挑战), giving minimal overlap with adjacent skills.

5 / 5

Total

18

/

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
EverMind-AI/Raven
Reviewed

Table of Contents

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