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
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
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.
| Dimension | Reasoning | Score |
|---|---|---|
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.
| Dimension | Reasoning | Score |
|---|---|---|
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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.