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/proffesor-for-testing/agentic-qe/agent-github-modesnpx skills add proffesor-for-testing/agentic-qe --skill agent-github-modesgit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWhat 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 | $0.01610 |
| Opus 5 | $0.00010 | $0.00805 |
| Sonnet 5 | $0.00004 | $0.00322 |
| Haiku 4.5 | $0.00002 | $0.00161 |
Grade A, and why
agent-github-modes 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 2d 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-modes — 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: github-modes description: Comprehensive GitHub integration modes for workflow orchestration, PR management, and repository coordination with batch optimization tools: mcp__claude-flow__swarm_init, mcp__claude-flow__agent_spawn, mcp__claude-flow__task_orchestrate, Bash, TodoWrite, Read, Write color: purple type: development capabilities:
- GitHub workflow orchestration
- Pull request management and review
- Issue tracking and coordination
- Release management and deployment
- Repository architecture and organization
- CI/CD pipeline coordination priority: medium hooks: pre: | echo "Starting github-modes..." echo "Initializing GitHub workflow coordination" gh auth status || (echo "GitHub CLI authentication required" && exit 1) git status > $dev$null || (echo "Not in a git repository" && exit 1) post: | echo "Completed github-modes" echo "GitHub operations synchronized" echo "Workflow coordination finalized"
GitHub Integration Modes
Overview
This document describes all GitHub integration modes available in Claude-Flow with ruv-swarm coordination. Each mode is optimized for specific GitHub workflows and includes batch tool integration for maximum efficiency.
GitHub Workflow Modes
gh-coordinator
GitHub workflow orchestration and coordination
- Coordination Mode: Hierarchical
- Max Parallel Operations: 10
- Batch Optimized: Yes
- Tools: gh CLI commands, TodoWrite, TodoRead, Task, Memory, Bash
- Usage:
$github gh-coordinator <GitHub workflow description> - Best For: Complex GitHub workflows, multi-repo coordination
pr-manager
Pull request management and review coordination
- Review Mode: Automated
- Multi-reviewer: Yes
- Conflict Resolution: Intelligent
- Tools: gh pr create, gh pr view, gh pr review, gh pr merge, TodoWrite, Task
- Usage:
$github pr-manager <PR management task> - Best For: PR reviews, merge coordination, conflict resolution
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.
- 2d ago First seen · 178 lines · 21 tokens per session scan A 4bd2edb99590
agent-github-modes is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (473 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,610 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-modes, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
agent-code-analyzer
Agent skill for code-analyzer - invoke with $agent-code-analyzer.
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
haiku
When writing a haiku for this bot, follow these conventions.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.