Agent skill

Multi Reviewer Patterns

by wshobson in wshobson/agents

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting.

MITAuto-check passedDevelopment

Install Multi Reviewer Patterns

skills CLI
$ npx skills add wshobson/agents --skill multi-reviewer-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wshobson/agents multi-reviewer-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agent-teams/skills/multi-reviewer-patterns .claude/skills/multi-reviewer-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
multi-reviewer-patterns
GitHub stars
40k
Token cost
~1.3k tokens
SKILL.md length
310 words
Files
2 (incl. references)
Skills in repo
142
Repo updated
First seen
Licence
MIT

At a glance

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting.

  • Works in 5 steps: Same file:line, same issue — Merge into… → Same file:line, different issues — Keep… → Same issue, different locations — Keep… → …
  • Organizing multi-reviewer code reviews
  • SKILL.md covers When to Use This Skill, Review Dimension Allocation, Finding Deduplication and Severity Calibration, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Multi Reviewer Patterns is an agent skill from wshobson/agents. Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/review-dimensions.md`).

It sits in Development, covering Code review, Data cleaning and Performance reviews. The repository describes itself as: Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi. The licence is MIT.

When your agent uses it

  • Organizing multi-reviewer code reviews
  • Calibrating finding severity
  • Consolidating review results

Example prompts

  • “/multi-reviewer-patterns”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Same file:line, same issue — Merge into one finding, credit all reviewers
  2. Same file:line, different issues — Keep as separate findings
  3. Same issue, different locations — Keep separate but cross-reference
  4. Conflicting severity — Use the higher severity rating
  5. Conflicting recommendations — Include both with reviewer attribution

What it can do on your machine

Read from SKILL.md and the folder at commit 46891e7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Multi Reviewer Patterns loads about 1.3k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 310 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wshobson/agents at commit 46891e7, republished under its MIT licence (© wshobson). 310 words, ~1,296 tokens.

Download SKILL.mdSave it as .claude/skills/multi-reviewer-patterns/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
multi-reviewer-patterns
description
Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
version
1.0.2

Multi-Reviewer Patterns

Patterns for coordinating parallel code reviews across multiple quality dimensions, deduplicating findings, calibrating severity, and producing consolidated reports.

When to Use This Skill

  • Organizing a multi-dimensional code review
  • Deciding which review dimensions to assign
  • Deduplicating findings from multiple reviewers
  • Calibrating severity ratings consistently
  • Producing a consolidated review report

Review Dimension Allocation

Available Dimensions
DimensionFocusWhen to Include
SecurityVulnerabilities, auth, input validationAlways for code handling user input or auth
PerformanceQuery efficiency, memory, cachingWhen changing data access or hot paths
ArchitectureSOLID, coupling, patternsFor structural changes or new modules
TestingCoverage, quality, edge casesWhen adding new functionality
AccessibilityWCAG, ARIA, keyboard navFor UI/frontend changes
ScenarioDimensions
API endpoint changesSecurity, Performance, Architecture
Frontend componentArchitecture, Testing, Accessibility
Database migrationPerformance, Architecture
Authentication changesSecurity, Testing
Full feature reviewSecurity, Performance, Architecture, Testing

Finding Deduplication

When multiple reviewers report issues at the same location:

Merge Rules
  1. Same file:line, same issue — Merge into one finding, credit all reviewers
  2. Same file:line, different issues — Keep as separate findings
  3. Same issue, different locations — Keep separate but cross-reference
  4. Conflicting severity — Use the higher severity rating
  5. Conflicting recommendations — Include both with reviewer attribution
Deduplication Process
For each finding in all reviewer reports:
  1. Check if another finding references the same file:line
  2. If yes, check if they describe the same issue
  3. If same issue: merge, keeping the more detailed description
  4. If different issue: keep both, tag as "co-located"
  5. Use highest severity among merged findings

Severity Calibration

Severity Criteria
SeverityImpactLikelihoodExamples
CriticalData loss, security breach, complete failureCertain or very likelySQL injection, auth bypass, data corruption
HighSignificant functionality impact, degradationLikelyMemory leak, missing validation, broken flow
MediumPartial impact, workaround existsPossibleN+1 query, missing edge case, unclear error
LowMinimal impact, cosmeticUnlikelyStyle issue, minor optimization, naming
Calibration Rules
  • Security vulnerabilities exploitable by external users: always Critical or High
  • Performance issues in hot paths: at least Medium
  • Missing tests for critical paths: at least Medium
  • Accessibility violations for core functionality: at least Medium
  • Code style issues with no functional impact: Low

Consolidated Report Template

markdown
## Code Review Report

**Target**: {files/PR/directory}
**Reviewers**: {dimension-1}, {dimension-2}, {dimension-3}
**Date**: {date}
**Files Reviewed**: {count}

### Critical Findings ({count})

#### [CR-001] {Title}

**Location**: `{file}:{line}`
**Dimension**: {Security/Performance/etc.}
**Description**: {what was found}
**Impact**: {what could happen}
**Fix**: {recommended remediation}

### High Findings ({count})

...

### Medium Findings ({count})

...

### Low Findings ({count})

...

### Summary

| Dimension    | Critical | High  | Medium | Low   | Total  |
| ------------ | -------- | ----- | ------ | ----- | ------ |
| Security     | 1        | 2     | 3      | 0     | 6      |
| Performance  | 0        | 1     | 4      | 2     | 7      |
| Architecture | 0        | 0     | 2      | 3     | 5      |
| **Total**    | **1**    | **3** | **9**  | **5** | **18** |

### Recommendation

{Overall assessment and prioritized action items}

© wshobson, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/agent-teams/skills/multi-reviewer-patterns of wshobson/agents.

  • SKILL.md
  • references/review-dimensions.md

Open the folder on GitHubat commit 46891e7

Compare with similar skills

Multi Reviewer Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Multi Reviewer Patterns compared with similar skills
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Multi Reviewer Patterns this skillwshobson/agents40k—~1.3kAutomated safety check: PassMIT
Code Review Skillawesome-skills/code-review-skill2.1k—~2.8kAutomated safety check: NotesMIT
Scholar Code Reviewjoshzyj/open-scholar-skill168—~8.8kAutomated safety check: PassCustom licence
Wp Performance Reviewelvismdev/claude-wordpress-skills2351 repos~4.5kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Multi Reviewer Patterns

What does Multi Reviewer Patterns do?

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Multi Reviewer Patterns is an agent skill from wshobson/agents. Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting.

When should I use Multi Reviewer Patterns?

Multi Reviewer Patterns fits situations like: organizing multi-reviewer code reviews; calibrating finding severity; consolidating review results.

How do I install Multi Reviewer Patterns in Claude Code?

Run `npx skills add wshobson/agents --skill multi-reviewer-patterns -a claude-code`. Or copy the skill folder (plugins/agent-teams/skills/multi-reviewer-patterns in wshobson/agents) into .claude/skills/multi-reviewer-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Multi Reviewer Patterns in Codex?

Run `npx skills add wshobson/agents --skill multi-reviewer-patterns -a codex`. Or copy the skill folder (plugins/agent-teams/skills/multi-reviewer-patterns in wshobson/agents) into .agents/skills/multi-reviewer-patterns in your project. Codex loads it when a task matches its description.

Can I use Multi Reviewer Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wshobson/agents --skill multi-reviewer-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-reviewer-patterns, .gemini/skills/multi-reviewer-patterns, .github/skills/multi-reviewer-patterns and .opencode/skills/multi-reviewer-patterns in your project.

What does Multi Reviewer Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: Multi Reviewer Patterns is instructions for the agent only.

Does Multi Reviewer Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Multi Reviewer Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Multi Reviewer Patterns use?

Multi Reviewer Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Multi Reviewer Patterns use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Multi Reviewer Patterns?

Skills that share tags, products or a category with Multi Reviewer Patterns: Code Review Skill (awesome-skills/code-review-skill, 2.1k stars), Scholar Code Review (joshzyj/open-scholar-skill, 168 stars), Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multi Reviewer Patterns?

wshobson (a GitHub user) maintains it in wshobson/agents, which has 40,287 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 5, 2026.

Source: wshobson/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.