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panel-majority-vote

Runs 3 isolated reviewer sub-agents and consolidates a PASS/BLOCK verdict by majority. Use when the user requests an independent review of code changes, pull requests, design documents, or release notes.

100

Quality

100%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

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 description that clearly communicates a unique multi-agent review mechanism, specifies concrete actions and outputs (PASS/BLOCK verdict), and provides explicit trigger guidance with natural user terms. The description is concise, uses third person voice correctly, and would be easily distinguishable from other skills in a large skill library.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Runs 3 isolated reviewer sub-agents', 'consolidates a PASS/BLOCK verdict by majority'. These are concrete, specific mechanisms describing what the skill does.

3 / 3

Completeness

Clearly answers both what ('Runs 3 isolated reviewer sub-agents and consolidates a PASS/BLOCK verdict by majority') and when ('Use when the user requests an independent review of code changes, pull requests, design documents, or release notes').

3 / 3

Trigger Term Quality

Includes natural keywords users would say: 'review', 'code changes', 'pull requests', 'design documents', 'release notes', 'independent review'. These cover common variations of review-related requests.

3 / 3

Distinctiveness Conflict Risk

The description is highly distinctive with its specific mechanism (3 sub-agents, majority verdict, PASS/BLOCK) and targets a clear niche of independent multi-agent review. The term 'independent review' and the specific architecture make it unlikely to conflict with a simple code review or linting skill.

3 / 3

Total

12

/

12

Passed

Implementation

100%

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

This is a high-quality skill that efficiently describes a multi-agent review panel workflow. It combines concrete executable code, clear step sequencing with validation gates, and well-organized references to supporting materials. The content respects Claude's intelligence while providing all the specific details needed for correct execution.

DimensionReasoningScore

Conciseness

The skill is lean and efficient. Every section serves a purpose—no explanation of what code reviews are, no padding about why majority voting works. The table format for inputs/outputs and related resources is compact and informative.

3 / 3

Actionability

The procedure provides concrete, executable steps including a bash code block for counting verdicts and generating JSON summaries. Reviewer output sections are explicitly enumerated, the consolidation logic is specific (pass_count ≥ 2), and file paths are clearly templated.

3 / 3

Workflow Clarity

The 7-step procedure is clearly sequenced with explicit validation (step 1 validates scope, step 7 is a hard gate for logging). There are feedback loops for BLOCK verdicts (re-run with changed work) and an escalation path after 3 consecutive BLOCKs. The deduplication and annotation step is well-specified.

3 / 3

Progressive Disclosure

The skill provides a clear overview with well-signaled one-level-deep references: a Related Resources table points to a report template, REFERENCE.md for weighted consensus details, and two other skills for logging and model routing. Content is appropriately split between this overview and referenced materials.

3 / 3

Total

12

/

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
monkilabs/opencastle
Reviewed

Table of Contents

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