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 skills add gongyijie85/dsh-ecc --skill git-workflowgit clone --depth 1 https://github.com/gongyijie85/dsh-eccWrote 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/gongyijie85/dsh-ecc/git-workflow)<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/git-workflow"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/git-workflow/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/git-workflow"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/git-workflow.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00054 | $0.03907 |
| Opus 5.5 | $0.00022 | $0.01563 |
| Sonnet 5.5 | $0.00011 | $0.00781 |
| Haiku 4.5 | $0.00005 | $0.00391 |
Grade A, and why
git-workflow 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 1mo 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
95% identical to git-workflow — 5 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 — 717 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git Workflow Patterns
Best practices for Git version control, branching strategies, and collaborative development.
When to Activate
- Setting up Git workflow for a new project
- Deciding on branching strategy (GitFlow, trunk-based, GitHub flow)
- Writing commit messages and PR descriptions
- Resolving merge conflicts
- Managing releases and version tags
- Onboarding new team members to Git practices
Branching Strategies
GitHub Flow (Simple, Recommended for Most)
Best for continuous deployment and small-to-medium teams.
main (protected, always deployable)
│
├── feature/user-auth → PR → merge to main
├── feature/payment-flow → PR → merge to main
└── fix/login-bug → PR → merge to main
Rules:
mainis always deployable- Create feature branches from
main - Open Pull Request when ready for review
- After approval and CI passes, merge to
main - Deploy immediately after merge
Trunk-Based Development (High-Velocity Teams)
Best for teams with strong CI/CD and feature flags.
main (trunk)
│
├── short-lived feature (1-2 days max)
├── short-lived feature
└── short-lived feature
Rules:
- Everyone commits to
mainor very short-lived branches - Feature flags hide incomplete work
- CI must pass before merge
- Deploy multiple times per day
GitFlow (Complex, Release-Cycle Driven)
Best for scheduled releases and enterprise projects.
main (production releases)
│
└── develop (integration branch)
│
├── feature/user-auth
├── feature/payment
│
├── release/1.0.0 → merge to main and develop
│
└── hotfix/critical → merge to main and develop
Rules:
maincontains production-ready code onlydevelopis the integration branch- Feature branches from
develop, merge back todevelop - Release branches from
develop, merge tomainanddevelop - Hotfix branches from
main, merge to bothmainanddevelop
When to Use Which
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.
- 1mo ago First seen · 717 lines · 54 tokens per session scan A d34cfc7114b4
git-workflow is a skill published in the GitHub repository gongyijie85/dsh-ecc (10 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 3,907 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to git-workflow, differing in 5 lines, and is treated as a copy.
Other skills, from other repositories
changelog-writing
A writing guide for maintaining a CHANGELOG.md file, which records user-visible changes between software versions. It also covers the release notes taken from the current version section.
code-review-zh
A Git-based code review workflow that compares changes from a chosen commit, branch, tag, or merge point. It checks both whether the code follows the repository's written standards and whether it implements the requested specification.
release-deploy
A release and deployment skill for preparing a software project for GitHub publication and putting it online.
commit
Use when starting implementation work on a task, or when the user asks you to commit changes to the repository.
kirocrew-prepare-pr
LOAD THIS FOR EVERY KIRO CREW PR you open or update (Kiro Crew repo only; not other repos or CRs). Runs the whole loop — issue + tier, commit, sync, squash, push, drive CI and AI review to green, fix a red main, arm auto-merge and watch it land (24h). 'push my changes' = prepare-only.
manage-taskboard
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept…