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github-code-review

Comprehensive GitHub code review with AI-powered swarm coordination

Install with Tessl CLI

npx tessl i github:ruvnet/agentic-flow --skill github-code-review
What are skills?

38

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

94%

60%

Automated Code Review Infrastructure for a Fintech Repository

Repository review infrastructure setup

Criteria
Without context
With context

Required agents in config

37%

100%

Optional agents in config

0%

100%

Security threshold blocks

100%

100%

Performance threshold warns

100%

100%

Style threshold suggests

0%

100%

Auth/payment/admin trigger

62%

100%

API/database/cache trigger

62%

100%

UI path trigger

0%

0%

review-all in workflow

0%

100%

Workflow fetches PR data and diff

50%

100%

Conditional approve or request-changes

0%

100%

PR template swarm config section

0%

100%

PR template tasks checklist

0%

100%

Setup script fetches PR context

50%

100%

Setup script posts initial status

0%

66%

Without context: $0.7700 · 3m 30s · 28 turns · 34 in / 13,747 out tokens

With context: $0.8477 · 3m 14s · 24 turns · 281 in / 12,494 out tokens

68%

68%

Security Code Review Script for Sensitive Code Paths

Security severity-based PR handling

Criteria
Without context
With context

Uses review-security command

0%

100%

Full check suite

0%

100%

Suggest-fixes flag

0%

100%

Fetches changed files via gh

0%

100%

Critical issues request changes

0%

100%

Security label on critical

0%

100%

Non-critical posts comment

0%

100%

No-color diff flag

0%

0%

Inline comment via gh api

0%

0%

Constructive comment style

0%

0%

Without context: $0.4139 · 2m 32s · 19 turns · 25 in / 8,557 out tokens

With context: $0.5775 · 1m 57s · 21 turns · 278 in / 6,171 out tokens

94%

59%

Smart PR Orchestration with Custom API Versioning Reviewer

Dynamic swarm topology and custom review agent

Criteria
Without context
With context

Ring topology for small PRs

0%

100%

Mesh topology for medium PRs

50%

100%

Hierarchical topology for large PRs

100%

100%

Label-to-agent mapping

37%

75%

Auto-merge checks swarm status

0%

100%

Auto-merge requires 2 reviews

100%

62%

Auto-merge uses squash

100%

100%

Custom agent async review method

25%

100%

Issue objects have required fields

25%

100%

Register agent with ruv-swarm

0%

100%

Create swarm from PR via pipe

0%

88%

Auto-spawn from labels

0%

100%

Without context: $1.1868 · 4m 26s · 46 turns · 2,521 in / 15,661 out tokens

With context: $0.6718 · 2m 13s · 24 turns · 281 in / 7,407 out tokens

Evaluated
Agent
Claude Code

Table of Contents

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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.