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multi-ai-code-review

Multi-perspective code review using Claude, Gemini, and Codex as specialized agents. 5-dimensional analysis (security, performance, maintainability, correctness, style) with LLM-as-judge consensus, quality scoring, and CI/CD integration. Use when reviewing PRs, auditing code quality, preparing production releases, or establishing code review workflows.

Quality

79%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/multi-ai-code-review/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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 body is well-organized into distinct operations with concrete prompts, commands, and configuration, making it genuinely usable. Its weaknesses are efficiency and structure: it explains security concepts Claude already knows, inlines CI/CD and checklist detail that duplicates its own reference files, and cites a reference file that does not exist.

Suggestions

Remove or relocate the 'Anti-Patterns to Detect' list, 'Key Principles', and 'Quality Targets' sections — Claude already knows these concepts; keep only the skill-specific severity mapping and scoring formula.

Move the full GitHub Actions workflow and quality-gate YAML into `references/ci-cd-integration.md` and keep only a brief pointer in the body; verify all listed references exist by creating the missing `references/performance-patterns.md` or removing it from the References section.

Make the parallel-agent step executable by showing the actual Task tool invocation syntax (e.g., a concrete agent prompt with tool name and arguments) instead of placeholder templates and shell comments.

DimensionReasoningScore

Conciseness

Much of the body is operational (prompt templates, CLI commands, YAML), but it includes unnecessary explanation Claude does not need: a 10-item 'Anti-Patterns to Detect' list (SQL injection, XSS, race conditions, memory leaks, N+1 queries, god objects), a conceptual 'Key Principles' section, and time-sensitive framing ('Based on 2024-2025 best practices', 'claude-sonnet-4-5-20250929', 'OWASP Top 10 (2024)') outside any deprecated section. This fits anchor 3 (mostly efficient with some unnecessary explanation) better than anchor 4, which requires only minor trims — the anti-patterns and principles sections alone are a sizable padded block.

3 / 5

Actionability

Mostly executable guidance: concrete git diff commands, runnable `gemini -p ...` and `codex ...` CLI invocations, a complete GitHub Actions workflow, a quality-gate config, and a concrete scoring formula with per-dimension weights. It falls short of anchor 5 because key sections are templates rather than executable instructions — the multi-agent launch section ('Launch 3 parallel review agents') never shows the actual Task tool invocation, and 'Coordination Commands' contains only shell comments ('# Using Task tool for parallel execution') with no command.

4 / 5

Workflow Clarity

Each of the five operations has a clear numbered sequence with Time/Automation/Purpose metadata, and validation checkpoints exist in places (Gemini false-positive verification in Operation 1, deduplication and consensus ranking in Operation 2/3, pass/fail checklist in Operation 5). This fits anchor 4 (clear sequence, most checkpoints present, minor gaps) rather than anchor 5 — Operations 2 and 4 lack explicit validate-fix-retry feedback loops, and the parallel-agent step has no guidance for handling failed or empty agent output. The destructive/batch cap does not apply since review is read-only.

4 / 5

Progressive Disclosure

The 530-line body inlines substantial content that belongs in the existing bundle files — a full GitHub Actions workflow that duplicates `references/ci-cd-integration.md` and security-check material overlapping `references/security-checklist.md` — and the References section points to `references/performance-patterns.md`, which does not exist in the bundle (a broken navigation path). This fits anchor 3 (some structure, content that should be separate is inline) better than anchor 4, where content placement is mostly appropriate and references are reliable.

3 / 5

Total

14

/

20

Passed

Description

88%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.

A strong description that clearly and concisely states what the skill does and when to use it, with concrete multi-model capabilities and an explicit 'Use when' clause. Its only weaknesses are modest: a few natural trigger synonyms are missing, and the broad code-review triggers create some overlap risk with generic review skills.

DimensionReasoningScore

Specificity

The description lists multiple concrete capabilities — 'Multi-perspective code review using Claude, Gemini, and Codex as specialized agents', '5-dimensional analysis (security, performance, maintainability, correctness, style)', 'LLM-as-judge consensus, quality scoring, and CI/CD integration' — giving comprehensive coverage of what the skill does. This matches the anchor for multiple specific concrete actions with comprehensive coverage rather than anchor 4, since no significant capability from the body is omitted from the description.

5 / 5

Completeness

It explicitly answers both questions: the 'what' ('Multi-perspective code review... 5-dimensional analysis... LLM-as-judge consensus, quality scoring, and CI/CD integration') and the 'when' with a concrete 'Use when' clause listing four specific triggers. This matches the anchor for clearly and explicitly answering both with concrete trigger phrases, not anchor 4 where the 'when' could be more specific.

5 / 5

Trigger Term Quality

Natural trigger phrases are present: 'reviewing PRs', 'auditing code quality', 'preparing production releases', 'establishing code review workflows' — terms users would actually say. It falls short of anchor 5 because common synonyms and variations are missing (e.g., 'diff review', 'security audit', 'merge checks', 'pull request' spelled out).

4 / 5

Distinctiveness Conflict Risk

The multi-model ensemble framing ('using Claude, Gemini, and Codex', 'LLM-as-judge consensus') carves a mostly distinct niche, but generic triggers like 'reviewing PRs' and 'auditing code quality' overlap with common single-model code-review skills. This fits anchor 4 (mostly distinct, minor overlap risk with closely related skills) better than anchor 5, whose example has triggers unlikely to fire any other skill.

4 / 5

Total

18

/

20

Passed

Validation

81%

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

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (537 lines); consider splitting into references/ and linking

Warning

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

13

/

16

Passed

Repository

fernandezbaptiste/Skrillz

Path

skills/multi-ai-code-review/SKILL.md

Reviewed

Table of Contents

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