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/github-release-managementnpx skills add proffesor-for-testing/agentic-qe --skill github-release-managementgit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/github-release-management)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/github-release-management"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/github-release-management.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00027 | $0.07416 |
| Opus 5 | $0.00014 | $0.03708 |
| Sonnet 5 | $0.00005 | $0.01483 |
| Haiku 4.5 | $0.00003 | $0.00742 |
Grade A, and why
github-release-management 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 1,082 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Release Management Skill
Intelligent release automation and orchestration using AI swarms for comprehensive software releases - from changelog generation to multi-platform deployment with rollback capabilities.
Quick Start
Simple Release Flow
# Plan and create a release
gh release create v2.0.0 \
--draft \
--generate-notes \
--title "Release v2.0.0"
# Orchestrate with swarm
npx claude-flow github release-create \
--version "2.0.0" \
--build-artifacts \
--deploy-targets "npm,docker,github"
Full Automated Release
# Initialize release swarm
npx claude-flow swarm init --topology hierarchical
# Execute complete release pipeline
npx claude-flow sparc pipeline "Release v2.0.0 with full validation"
Core Capabilities
1. Release Planning & Version Management
- Semantic version analysis and suggestion
- Breaking change detection from commits
- Release timeline generation
- Multi-package version coordination
2. Automated Testing & Validation
- Multi-stage test orchestration
- Cross-platform compatibility testing
- Performance regression detection
- Security vulnerability scanning
3. Build & Deployment Orchestration
- Multi-platform build coordination
- Parallel artifact generation
- Progressive deployment strategies
- Automated rollback mechanisms
4. Documentation & Communication
- Automated changelog generation
- Release notes with categorization
- Migration guide creation
- Stakeholder notification
Progressive Disclosure: Level 1 - Basic Usage
Essential Release Commands
Create Release Draft
# Get last release tag
LAST_TAG=$(gh release list --limit 1 --json tagName -q '.[0].tagName')
# Generate changelog from commits
CHANGELOG=$(gh api repos/:owner/:repo$compare/${LAST_TAG}...HEAD \
--jq '.commits[].commit.message')
# Create draft release
gh release create v2.0.0 \
--draft \
--title "Release v2.0.0" \
--notes "$CHANGELOG" \
--target main
Basic Version Bump
# Update package.json version
npm version patch # or minor, major
# Push version tag
git push --follow-tags
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.
- today First seen · 1,082 lines · 27 tokens per session scan A 689a2bee064f
github-release-management is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (473 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 7,416 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.
github-release-management
GitHub release orchestration — automated versioning, testing, deployment, and rollback. Use when cutting a release, tagging a version, drafting release notes, or coordinating a deploy/rollback workflow.
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.