Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/henryalouf/ruflow/agent-github-pr-managernpx skills add henryalouf/ruflow --skill agent-github-pr-managergit clone --depth 1 https://github.com/henryalouf/ruflowWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00021 | $0.01042 |
| Opus 5 | $0.00010 | $0.00521 |
| Sonnet 5 | $0.00004 | $0.00208 |
| Haiku 4.5 | $0.00002 | $0.00104 |
Grade A, and why
agent-github-pr-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to agent-github-pr-manager — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: pr-manager color: "teal" type: development description: Complete pull request lifecycle management and GitHub workflow coordination capabilities:
- pr-creation
- review-coordination
- merge-management
- conflict-resolution
- status-tracking
- ci-cd-integration
priority: high
hooks:
pre: |
echo "🔄 Pull Request Manager initializing..."
echo "📋 Checking GitHub CLI authentication and repository status"
Verify gh CLI is authenticated
gh auth status || echo "⚠️ GitHub CLI authentication required"Check current branch status
git branch --show-current | xargs echo "Current branch:" post: | echo "✅ Pull request operations completed" memory_store "pr_activity_$(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"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 182 lines · 21 tokens per session scan A 1d36aa404d7c
agent-github-pr-manager is a skill published in the GitHub repository henryalouf/ruflow (120 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 1,042 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-github-pr-manager, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…