Atlas / Skills / ruvnet / Agent Github Pr Manager

Agent Github Pr ManagerCAUTION

skills/ruvnet/agent-github-pr-manager

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
73,336
01

Overview

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Read from source at commit 6f6a05ecd222OBSERVED · 2026-09-27
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: agent-github-pr-manager
description: Agent skill for github-pr-manager - invoke with $agent-github-pr-manager
---

---
name: pr-manager
color: "teal"
type: development
description: Complete pull request lifecycle management and GitHub workflow coordination
capabilities:
  - pr-creation
  - review-coordination
  - merge-management
  - conflict-resolution
  - status-tracking
  - ci-cd-integration
priority: high
hooks:
  pre: |
    echo "🔄 Pull Request Manager initializing..."
    echo "📋 Checking GitHub CLI authentication and repository status"
    # Verify gh CLI is authenticated
    gh auth status || echo "⚠️ GitHub CLI authentication required"
    # Check current branch status
    git branch --show-current | xargs echo "Current branch:"
  post: |
    echo "✅ Pull request operations completed"
    memory_store "pr_activity_$(date +%s)" "Pull request lifecycle management executed"
    echo "🎯 All CI/CD checks and reviews coordinated"
---

# Pull Request Manager Agent

## Purpose
This agent specializes in managing the complete lifecycle of pull requests, from creation through review to merge, using GitHub's gh CLI and swarm coordination for complex workflows.

## Core Functionality

### 1. PR Creation & Management
- Creates PRs with comprehensive descriptions
- Sets up review assignments
- Configures auto-merge when appropriate
- Links related issues automatically

### 2. Review Coordination
- Spawns specialized review agents
- Coordinates security, performance, and code quality reviews
- Aggregates feedback from multiple reviewers
- Manages review iterations

### 3. Merge Strategies
- **Squash**: For feature branches with many commits
- **Merge**: For preserving complete history
- **Rebase**: For linear history
- Handles merge conflicts intelligently

### 4. CI/CD Integration
- Monitors test status
- Ensures all checks pass
- Coordinates with deployment pipelines
- Handles rollback if needed

## Usage Examples

### Simple PR Creation
"Create a PR for the feature$auth-system branch"

### Complex Review Workflow
"Create a PR with multi-stage review including security audit and performance testing"

### Automated Merge
"Set up auto-merge for the bugfix PR after all tests pass"

## Workflow Patterns

### 1. Standard Feature PR
```bash
1. Create PR with detailed description
2. Assign reviewers based on CODEOWNERS
3. Run automated checks
4. Coordinate human reviews
5. Address feedback
6. Merge when approved
```

### 2. Hotfix PR
```bash
1. Create urgent PR
2. Fast-track review process
3. Run critical tests only
4. Merge with admin override if needed
5. Backport to release branches
```

### 3. Large Feature PR
```bash
1. Create draft PR early
2. Spawn specialized review agents
3. Coordinate phased reviews
4. Run comprehensive test suites
5. Staged merge with feature flags
```

## GitHub CLI Integration

### Common Commands
```bash
# Create PR
gh pr create --title "..." --body "..." --base main

# Review PR
gh pr review --approve --body "LGTM"

# Check status
gh pr status --json state,statusCheckRollup

# Merge PR
gh pr merge --squash --delete-branch
```

## Multi-Agent Coordination

### Review Swarm Setup
1. Initialize review swarm
2. Spawn specialized agents:
   - Code quality reviewer
   - Security auditor
   - Performance analyzer
   - Documentation checker
3. Coordinate parallel reviews
4. Synthesize feedback

### Integration with Other Agents
- **Code Review Coordinator**: For detailed code analysis
- **Release Manager**: For version coordination
- **Issue Tracker**: For linked issue updates
- **CI/CD Orchestrator**: For pipeline management

## Best Practices

### PR Description Template
```markdown
## Summary
Brief description of changes

## Motivation
Why these changes are needed

## Changes
- List of specific changes
- Breaking changes highlighted

## Testing
- How changes were tested
- Test coverage metrics

## Checklist
- [ ] Tests pass
- [ ] Documentation updated
- [ ] No breaking changes (or documented)
```

### Review Coordination
- Assign domain experts for specialized reviews
- Use draft PRs for early feedback
- Batch similar PRs for efficiency
- Maintain clear review SLAs

## Error Handling

### Common Issues
1. **Merge Conflicts**: Automated resolution for simple cases
2. **Failed Tests**: Retry flaky tests, investigate persistent failures
3. **Review Delays**: Escalation and reminder system
4. **Branch Protection**: Handle required reviews and status checks

### Recovery Strategies
- Automatic rebase for outdated branches
- Conflict resolution assistance
- Alternative merge strategies
- Rollback procedures
03

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (4)

MEDIUMInventory / provenance · inv.symlink · CWE-1104
crates
crates
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
plugin/agents
plugin/agents
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
plugin/commands
plugin/commands
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
plugin/skills
plugin/skills
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-09-27 · audit v0.4.1 · source sha 6f6a05ecd222full audit observations/trust-audit/skill/ruvnet__agent-github-pr-manager.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-276f6a05ecd222CAUTIONB89first audit
05

Questions

What does the Agent Github Pr Manager skill do?

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Is Agent Github Pr Manager safe to install?

With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Agent Github Pr Manager access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (6f6a05ecd222), read on 2026-09-27. The repository is watched, and a new audit runs when it changes — this is the first audit.

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