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performance-testing-review-multi-agent-review

Use when working with performance testing review multi agent review

Quality

46%

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 ./plugins/AI-Agents-Safe-Coding-Skills/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

32%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.

The skill body reads as marketing-style documentation of a hypothetical tool rather than operational guidance: it is padded with abstract buzzwords, all code examples are non-executable stubs calling undefined functions, and there is no concrete workflow a reviewer could follow. Its one progressive-disclosure reference points to a nonexistent file, leaving the long inlined detail as the only content.

Suggestions

Replace the stub code (undefined `is_web_application`, `ConflictResolutionEngine`, `QualityScoreCalculator`, `multi_agent_review`) with a concrete, followable workflow for orchestrating a multi-agent review: how to select agents, dispatch them, and merge results with explicit validation checkpoints (e.g. verify findings against the diff before reporting).

Cut the buzzword prose ("transcend traditional single-perspective review approaches", "Contextual Intelligence", "Intelligent Consolidation") and the generic concept restatements; keep only instructions Claude could not infer on its own.

Fix the dangling `resources/implementation-playbook.md` reference (the file does not exist in the bundle) and move the inlined implementation detail — routing logic, context model, examples — into that or similar one-level-deep reference files, clearly linked from a lean SKILL.md overview.

DimensionReasoningScore

Conciseness

The body is padded with buzzword-heavy abstraction Claude needs no help with — "a sophisticated AI-powered code review system designed to provide comprehensive, multi-perspective analysis... that transcend traditional single-perspective review approaches", "Contextual Intelligence", "Smart Conflict Handling", "Intelligent Consolidation" — plus bullet lists restating obvious concepts like parallel vs sequential execution. This matches "Noticeably verbose; several unnecessary explanations or padded sections"; it is above level 1 only because the structure is clear and some content is domain-specific rather than generic filler.

2 / 5

Actionability

The code blocks are structurally concrete but are stubs/pseudocode: `route_agents` calls undefined `is_web_application()`, `synthesize_review_insights` contains the literal placeholder comment "# Intelligent merging logic", and `ConflictResolutionEngine`, `QualityScoreCalculator`, `ReviewOptimizer`, `QUALITY_THRESHOLD`, and `multi_agent_review()` are all referenced but never defined or executable. This matches the level-3 anchor "pseudocode instead of executable code; missing key details"; it is above level 2 because the snippets do convey concrete orchestration patterns (agent weighting, phase sequencing), and below level 4 because nothing in the body can actually be run or directly followed to perform a review.

3 / 5

Workflow Clarity

There is a rough topical sequence (sections 1–7: routing → context → execution → aggregation → conflict resolution → optimization → validation) but no executable sequence of steps for actually conducting a review, and validation exists only as an abstract "Quality Validation Framework" with no checkpoint telling the reviewer how or when to verify results. This matches "Rough sequence present but many gaps; steps poorly defined; validation absent" rather than level 3, which requires a concrete listed step sequence with only checkpoint gaps.

2 / 5

Progressive Disclosure

The body inlines roughly 200 lines of implementation detail (agent routing code, context classes, synthesis stubs, example scenarios) that clearly belongs in separate reference files, and its single disclosure pointer — "open `resources/implementation-playbook.md`" — references a file that does not exist in the bundle (no references/, scripts/, or assets/ directories are present), so navigation leads nowhere. This matches "content that clearly belongs in separate files is inlined; or references are buried" rather than level 3, whose structure-and-reference pattern at least points to a real file.

2 / 5

Total

9

/

20

Passed

Description

36%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.

The description is effectively a trigger-only fragment: it says when to use the skill but never what the skill does, and its domain phrasing is a garbled keyword string rather than natural language. It is distinguishable enough to avoid universal conflicts but would fail to inform a user or model of the skill's actual capabilities.

Suggestions

Add a concrete 'what' statement naming specific capabilities, e.g. "Orchestrates specialized review agents (security, architecture, performance) to produce a consolidated, prioritized review report for a codebase."

Fix the run-on domain phrase and add natural trigger terms users would actually say, such as "code review", "multi-agent review", "performance analysis", or "PR review".

Follow the pattern of the good examples: one sentence of concrete actions, then an explicit "Use when..." trigger clause.

DimensionReasoningScore

Specificity

The description only names a domain ("performance testing review multi agent review") with zero concrete actions or capabilities — there is no statement of what the skill does. It is not pure abstract fluff like "Helps with documents" since it does name a (garbled) domain, matching the level-2 anchor "Names the domain but actions are minimal or generic"; it cannot score 3 because no action verbs or capability statements appear at all.

2 / 5

Completeness

Only the 'when' is present ("Use when working with...") with no 'what' — the description never states what the skill does, exactly matching the level-2 anchor "only 'when' is present without 'what'". It cannot score 3 because that anchor requires a clear 'what', which is entirely absent here.

2 / 5

Trigger Term Quality

It contains some genuinely relevant phrases a user might say — "performance testing", "multi agent review" — but misses common variations and synonyms such as "code review", "multi-agent", or "PR review", and the run-on phrasing "performance testing review multi agent review" is unnatural. This fits the level-3 anchor ("Some relevant keywords but missing common variations or synonyms") rather than 4, which requires good keyword coverage.

3 / 5

Distinctiveness Conflict Risk

The domain is niche (multi-agent review orchestration) but the awkward compound phrase blurs whether it targets code review, performance testing, or both, creating overlap risk with generic code-review and performance-testing skills. This matches "Somewhat specific but could still overlap with similar skills" rather than 4, which requires a clearly distinct niche with minimal overlap.

3 / 5

Total

10

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills/skills/performance-testing-review-multi-agent-review/SKILL.md

Reviewed

Table of Contents

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