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/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/evermind-ai/everos/new-branch"><img src="https://agentmods.dev/badge/skills/evermind-ai/everos/new-branch.svg" alt="Reviewed on agentmods" width="80" 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 5.5 | $0.00006 | $0.00116 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (13,824 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 290 once invoked, about $0.0001 per session on Opus 5.5. 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.
new-branch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| new-branchEverMind-AI/EverOS | Skill | 14k | yesterday | Apache-2.0 | A | 16 | Claude Code |
| githubMemTensor/memmy-agent | Skill | 2.2k | today | MIT | A | 44 | Claude Code, Codex |
| computer-historyMemTensor/memmy-agent | Skill | 2.2k | today | MIT | A | 42 | Claude Code, Codex |
| docxMemTensor/memmy-agent | Skill | 2.2k | today | MIT | A | 40 | Claude Code, Codex |
| update-setupMemTensor/memmy-agent | Skill | 2.2k | today | MIT | A | 0 | Claude Code, Codex |
| skill-creatorMemTensor/memmy-agent | Skill | 2.2k | today | MIT | A | 28 | Claude Code, Codex |
| memmy-memoryMemTensor/memmy-agent | Skill | 2.2k | today | MIT | A | 34 | Claude Code, Codex |