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.

Use it to prepare, verify, push, and submit a focused change for review on GitHub.

It reduces missed review details and helps prevent pull requests from being opened with failing checks or the wrong target branch.

pr — Skill by EverMind-AI

Install

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.

agentmods

npx agentmods add skills/evermind-ai/everos/pr

Any agent

npx skills add EverMind-AI/EverOS --skill pr

Clone the repo

git clone --depth 1 https://github.com/EverMind-AI/EverOS

Made for: Claude Code, Codex.

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. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00015	$0.00356
Opus 5	$0.00008	$0.00178
Sonnet 5	$0.00003	$0.00071
Haiku 4.5	$0.00002	$0.00036

Measured 3d ago against content hash 30ec66359870, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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

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/*.
Ensure local checks pass first:
```
make ci
```
Do not open a PR with failing lint/tests.
Push the branch:
```
git push -u origin HEAD
```
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.

3d 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 (12,624 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. 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.

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