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performance-testing-review-multi-agent-review

Use when working with performance testing review multi agent review

32

Quality

26%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/performance-testing-review-multi-agent-review/SKILL.md

The canonical home for this skill is error-debugging-multi-agent-review in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

21%Scale 1-5

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

This skill is heavily verbose and conceptual, reading more like a design document or marketing overview than actionable guidance for Claude. The pseudocode examples reference undefined classes and functions, making them non-executable. The workflow lacks concrete validation steps and error recovery mechanisms despite describing a complex orchestration process.

Suggestions

Replace all pseudocode stubs with executable, copy-paste ready implementations or remove them entirely and provide concrete CLI commands or API calls Claude can actually run.

Remove all conceptual explanations (what multi-agent review is, why it's useful, marketing language) and focus only on the specific steps Claude should take when performing a review.

Add explicit validation checkpoints with concrete commands: e.g., after agent execution, verify results with a specific validation step before proceeding to synthesis.

Move the detailed agent coordination patterns and example implementations into a separate reference file and keep SKILL.md as a concise overview with clear step-by-step instructions.

DimensionReasoningScore

Conciseness

Extremely verbose with extensive conceptual explanations Claude already knows (what multi-agent coordination is, what context management means, what conflict resolution is). The document is heavily padded with marketing-style language ('sophisticated AI-powered', 'transcend traditional single-perspective review approaches') and explains basic programming concepts through pseudocode that adds no real value.

1 / 5

Actionability

The code examples are pseudocode stubs with placeholder logic (e.g., `ConflictResolutionEngine()`, `QualityScoreCalculator.compute()`, `ReviewOptimizer.allocate_resources()`) that reference undefined classes and functions. None of the code is executable or copy-paste ready — it describes abstract patterns rather than providing concrete, working implementations Claude could actually use.

2 / 5

Workflow Clarity

While there is a rough sequence implied (agent selection → context management → execution → aggregation → conflict resolution → validation), the steps are not clearly sequenced as an actionable workflow. There are no explicit validation checkpoints, no error recovery feedback loops, and no concrete verification steps despite this being a complex multi-step orchestration process.

2 / 5

Progressive Disclosure

The document references `resources/implementation-playbook.md` for detailed examples, which is appropriate, but no bundle files exist to support this reference. The content itself is a monolithic document with section headers providing some structure, but much of the content (200+ lines of pseudocode examples) should be split into separate reference files rather than inlined.

3 / 5

Total

8

/

20

Passed

Description

31%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.

This description is extremely weak. It lacks any concrete actions or capabilities, essentially only providing a vague 'Use when' clause with repetitive and unclear terminology. The description would fail to help Claude distinguish this skill from others or understand what it actually does.

Suggestions

Add concrete actions describing what the skill does, e.g., 'Orchestrates multi-agent performance test reviews, analyzing load test results, identifying bottlenecks, and generating summary reports.'

Expand the 'Use when' clause with specific trigger scenarios, e.g., 'Use when the user asks to review performance test results, analyze load testing output, or coordinate multi-agent code reviews for performance issues.'

Remove the redundant 'review' repetition and clarify whether 'multi agent review' refers to a multi-agent workflow pattern or reviewing multi-agent systems.

DimensionReasoningScore

Specificity

The description contains no concrete actions whatsoever. It does not describe what the skill does—only vaguely references 'performance testing review multi agent review' without specifying any capabilities.

1 / 5

Completeness

It has a 'Use when' clause but the 'what' is entirely missing—there is no description of what the skill actually does. The 'when' itself is also vague and repetitive ('review multi agent review').

2 / 5

Trigger Term Quality

It includes some relevant keywords like 'performance testing' and 'multi agent review,' which a user might naturally mention. However, it lacks synonyms, variations, or additional natural phrases users would say.

3 / 5

Distinctiveness Conflict Risk

The mention of 'performance testing' and 'multi agent review' provides some niche specificity, but the lack of concrete actions and the vague phrasing could cause overlap with other testing or review-related skills.

3 / 5

Total

9

/

20

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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