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EverOS: Skill for Claude Code

.claude/skills/pr/SKILL.md

pr is a skill for Claude Code from EverMind-AI/EverOS. It costs 15 tokens per session (356 once invoked), scanned A, original, Apache-2.0.

A workflow for opening a GitHub pull request, which is a request for others to review and merge a branch into the main code line. It checks the branch, runs project checks, pushes the branch, and fills in the repository's template.

In plain words
What is it for?
Use it to prepare, verify, push, and submit a focused change for review on GitHub.
Why use it?
It reduces missed review details and helps prevent pull requests from being opened with failing checks or the wrong target branch.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is EverMind-AI/EverOS's own configuration. It tells Claude Code how to work on EverOS itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything EverOS configures →

not rated 14krepo +98 yesterday A scan SkillSpector: pass 15 tokens original Apache-2.0
View source ↗ EverMind-AI/EverOS evermind.ai
About the project

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.

EverMind-AI/EverOS · 13,824 stars · on GitHub · evermind.ai

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/EverMind-AI/EverOS/main/.claude/skills/pr/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/EverMind-AI/EverOS

Made for: Claude Code.

Wrote 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.

agentmods badge for pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/evermind-ai/everos/pr/github.svg)](https://agentmods.dev/skills/evermind-ai/everos/pr)
Your own site
<a href="https://agentmods.dev/skills/evermind-ai/everos/pr"><img src="https://agentmods.dev/badge/skills/evermind-ai/everos/pr/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.

agentmods 80×15 button for pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/evermind-ai/everos/pr"><img src="https://agentmods.dev/badge/skills/evermind-ai/everos/pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 356 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.00356
Opus 5.5 $0.00006 $0.00142
Sonnet 5.5 $0.00003 $0.00071
Haiku 4.5 $0.00002 $0.00036

Measured 2mo ago against content hash 30ec66359870, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr 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.

.claude/skills/pr/SKILL.md · 44 lines

What it actually says

/pr

Open a pull request on GitHub using the gh CLI and the repo's PR template.

Steps

  1. Confirm the branch and target:
    • Base branch is main.
    • Head branch should be a scoped branch such as feat/*, fix/*, docs/*, ci/*, chore/*, or refactor/*.
  2. Ensure local checks pass first: 
    make ci
    Do not open a PR with failing lint/tests.
  3. Push the branch: 
    git push -u origin HEAD
  4. Create the PR, filling the template (.github/PULL_REQUEST_TEMPLATE.md): 
    gh pr create --base main --fill-first
    Then edit the body to complete each section:
    • Summary — what changed and why.
    • Area — tick the relevant box (architecture / benchmark / use case / docs / DX / CI-build-release).
    • Verification — paste the commands you ran (make ci, manual checks).
    • Checklist — tick honestly; don't tick boxes you didn't satisfy.
    • Notes for Reviewers — anything subtle.

Notes

  • Keep the PR scoped to one area. Split unrelated changes.
  • If make ci was not fully run, say so in Verification rather than implying it passed.
  • Never retarget a community PR away from main unless a maintainer explicitly asks for it.
Changes

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.

  1. 2mo ago First seen · 44 lines · 15 tokens per session scan A 30ec66359870

Subscribe to this mod's changes

pr is a skill published in the GitHub repository EverMind-AI/EverOS (13,824 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 356 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.

Git and workflowLLMMemory and contextagentic-aiaichatslong-term-memory
Related

pr compared with skills from other repositories

pr next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
prEverMind-AI/EverOSSkill14kyesterdayApache-2.0A15Claude Code
githubMemTensor/memmy-agentSkill2.2ktodayMITA44Claude Code, Codex
computer-historyMemTensor/memmy-agentSkill2.2ktodayMITA42Claude Code, Codex
docxMemTensor/memmy-agentSkill2.2ktodayMITA40Claude Code, Codex
update-setupMemTensor/memmy-agentSkill2.2ktodayMITA0Claude Code, Codex
skill-creatorMemTensor/memmy-agentSkill2.2ktodayMITA28Claude Code, Codex
memmy-memoryMemTensor/memmy-agentSkill2.2ktodayMITA34Claude Code, Codex