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ev-node-explainer

Explains ev-node architecture, components, and internal workings. Use when the user asks how ev-node works, wants to understand the block package, DA layer, sequencing, namespaces, or needs architecture explanations. Covers block production, syncing, DA submission, forced inclusion, single vs based sequencer, and censorship resistance.

88

1.56x
Quality

85%

Does it follow best practices?

Impact

91%

1.56x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Discovery

100%

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

This is a strong skill description that clearly defines its scope around ev-node architecture and internal workings. It includes an explicit 'Use when...' clause with multiple natural trigger terms, lists specific topics covered, and occupies a distinct niche that minimizes conflict risk with other skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and topics: block production, syncing, DA submission, forced inclusion, single vs based sequencer, censorship resistance, block package, DA layer, sequencing, namespaces.

3 / 3

Completeness

Clearly answers both 'what' (explains ev-node architecture, components, and internal workings) and 'when' (explicit 'Use when...' clause listing specific trigger scenarios like asking how ev-node works, understanding the block package, DA layer, etc.).

3 / 3

Trigger Term Quality

Includes natural keywords a user would say: 'ev-node', 'architecture', 'block package', 'DA layer', 'sequencing', 'namespaces', 'block production', 'syncing', 'DA submission', 'forced inclusion', 'sequencer', 'censorship resistance'. These are domain-specific but exactly what a user in this domain would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with domain-specific terms like 'ev-node', 'DA submission', 'forced inclusion', 'based sequencer', and 'censorship resistance'. Very unlikely to conflict with other skills due to the narrow, well-defined niche.

3 / 3

Total

12

/

12

Passed

Implementation

70%

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

This is a well-structured architecture explainer skill that effectively uses tables, ASCII diagrams, and progressive disclosure to convey ev-node's architecture. Its main strengths are clear workflow sequences, good file references, and appropriate content splitting. Minor weaknesses include some unnecessary filler sentences and the inherent limitation that as an explanatory skill, it's less directly actionable than task-oriented skills.

Suggestions

Remove filler sentences like 'The block package is the most complex part of ev-node' and 'The DA layer abstracts blob storage. ev-node uses Celestia but the interface is pluggable' — these don't add information Claude needs.

Consider adding a brief 'When to use this skill' or trigger section so Claude knows exactly when to reference this architecture knowledge vs. when to look at code directly.

DimensionReasoningScore

Conciseness

The content is mostly efficient and well-structured with tables and diagrams, but includes some unnecessary explanatory text (e.g., 'The block package is the most complex part of ev-node', 'The DA layer abstracts blob storage'). Some sections could be tightened, though overall it respects Claude's intelligence reasonably well.

2 / 3

Actionability

The skill provides concrete Go interface definitions, file paths, and architectural diagrams, which are useful for explaining architecture. However, since this is an explanatory/knowledge skill rather than a task skill, it lacks executable examples or specific commands. The guidance is concrete enough to answer architecture questions but doesn't provide copy-paste-ready code for doing anything.

2 / 3

Workflow Clarity

Multi-step processes like block production, syncing, DA submission failure handling, and crash recovery are clearly sequenced with explicit steps. The ASCII flow diagrams effectively communicate component interactions and data flow. The forced inclusion process has a clear numbered sequence with conditions.

3 / 3

Progressive Disclosure

Excellent progressive disclosure with a clear overview in the main file and well-signaled one-level-deep references to block-architecture.md and da-sequencing.md. The main file provides enough context (component summaries, interface signatures, key files) to answer most questions without needing to consult sub-files, while pointing to deeper dives for complex topics.

3 / 3

Total

10

/

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
evstack/ev-node
Reviewed

Table of Contents

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