EverOS is a Python library and local-first memory runtime that gives AI agents a portable memory layer across apps, devices, and workflows. It stores conversations, files, and agent activity as readable Markdown while maintaining local indexes for retrieval and reuse. The catalogue add-ons provide commands, skills, hooks, and settings for using EverOS with coding agents.
Borrowing it
Nothing to install: this file belongs to EverMind-AI/EverOS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EverMind-AI/EverOS/main/.claude/skills/new-branch/SKILL.mdgit clone --depth 1 https://github.com/EverMind-AI/EverOSWrote 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/evermind-ai/everos/new-branch)<a href="https://agentmods.dev/skills/evermind-ai/everos/new-branch"><img src="https://agentmods.dev/badge/skills/evermind-ai/everos/new-branch.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00290 |
| Opus 5 | $0.00008 | $0.00145 |
| Sonnet 5 | $0.00003 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
new-branch 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 8d 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.
What it actually says
/new-branch
Cut a new branch for the GitHub repository.
Branch model
main = default and protected branch
feat/* = feature work
fix/* = bug fixes
docs/* = documentation-only changes
ci/* = CI, build, and developer-experience changes
chore/* = repository maintenance
refactor/* = behavior-preserving code structure changes
Steps
- Ask (or infer) the change type:
feat,fix,docs,ci,chore, orrefactor. - Update
mainfirst:git checkout main git pull --ff-only - Create the branch with a kebab-case slug:
git checkout -b <type>/<short-slug> - Keep the branch scoped to one purpose and open a pull request back to
main.
Naming
feat/add-agentic-rerank,fix/empty-profile-crash,docs/quickstart-config,ci/check-github-docs.- Lowercase, hyphen-separated, no spaces, concise.
Never commit directly to main — always use a branch and pull request.
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.
- 8d ago First seen · 45 lines · 16 tokens per session scan A 83652a1f679c
new-branch is a skill published in the GitHub repository EverMind-AI/EverOS (12,774 stars, last pushed today), licensed Apache-2.0. It adds 16 tokens to every session and 290 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 2026-08-30.
Other skills, from other repositories
github
Interact with GitHub using the gh CLI. Use gh issue, gh pr, gh run, and gh api for issues, PRs, CI runs, and advanced queries.
update-setup
A one-time setup wizard for creating a personalised upgrade guide for a workspace. It checks for an existing guide, identifies the current version and installation clues, and requires confirmation of the installation method before writing a new guide.
skill-creator
Create, edit, improve, tidy, review, audit, or restructure memmy-agent skills and SKILL.md files.
memmy-memory
Use the shared Memmy memory service to retrieve relevant prior context and persist durable Agent turns, facts, decisions, preferences, procedures, and follow-ups.
ui-craft
Design, build, redesign, or modify browser-visible web interfaces with product-quality composition, visual systems, interaction states, responsive behavior, accessibility, and browser visual QA. Use for HTML, CSS, JavaScript, React, Vue, or Svelte pages and components, landing pages, dashboards, admin tools, settings…
memmy-memory
Use the memmy-memory CLI when an agent needs to check the Memory service, open or close agent sessions, start or complete turns, search, add, read, or delete memories, or call uncommon HTTP routes through raw requests.