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create-pr

create-pr is a skill for Claude Code, Codex from PyModel/pythinker-cli. It costs 25 tokens per session (194 once invoked), scanned A, original, Apache-2.0.

A guide for preparing a pull request, the proposed code change that teammates review before it is merged. It produces a summary of the changes, checks performed, risks, and guidance for reviewers.

In plain words
What is it for?
It helps inspect the branch and recent commits, draft a title and pull-request body, record exact verification commands and results, and note screenshots or other review material that may be needed.
Why use it?
It turns a branch's code changes into a clear review document without claiming checks were run when they were not.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 21repo 3d ago A scan SkillSpector: pass 25 tokens original Apache-2.0

Good fit It helps inspect the branch and recent commits, draft a title and pull-request body, record exact verification commands and results, and note screenshots or other review material that may be needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pymodel/pythinker-cli/create-pr
View source ↗ PyModel/pythinker-cli pythinker.com
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.

Any agent
npx skills add PyModel/pythinker-cli --skill create-pr
Clone the repo
git clone --depth 1 https://github.com/PyModel/pythinker-cli

Made for: Claude Code, Codex.

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 create-pr

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/pymodel/pythinker-cli/create-pr"><img src="https://agentmods.dev/badge/skills/pymodel/pythinker-cli/create-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 194 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 $0.00025 $0.00194
Opus 5.5 $0.00010 $0.00078
Sonnet 5.5 $0.00005 $0.00039
Haiku 4.5 $0.00003 $0.00019

Measured 1mo ago against content hash 2408d59a9382, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-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 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.

src/pythinker_code/skills/create-pr/SKILL.md · 34 lines

What it actually says

Create PR

Use when the user asks to prepare or draft a pull request, PR description, or review-ready summary.

Workflow

  1. Inspect the branch diff and recent commits.
  2. Identify user-visible changes, tests run, and risks.
  3. Draft a concise PR title and body using the repository's PR template when available.
  4. Include exact verification commands and results.
  5. Call out screenshots/videos needed for user-visible changes.

Rules

  • Do not add AI-generated footers or co-author trailers.
  • Do not push, open, or publish a PR unless explicitly asked.
  • Do not claim tests passed unless they were run.
  • Keep changelog entries aligned with repository conventions.

Output

TITLE
SUMMARY
TEST PLAN
RISKS
PR BODY
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. 1mo ago First seen · 34 lines · 25 tokens per session scan A 2408d59a9382

Subscribe to this mod's changes

create-pr is a skill published in the GitHub repository PyModel/pythinker-cli (21 stars, last pushed 3d ago), licensed Apache-2.0. It adds 25 tokens to every session and 194 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.

Code reviewGit and workflowacpaiai-agentclideveloper-tools
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