pull-requests

pull-requests is a skill for Claude Code, Codex from pingdotgg/t3code. It costs 34 tokens per session (617 once invoked), scanned A, original, MIT.

A workflow for finishing a code change before opening or updating a pull request. It checks focused tests, simplifies the implementation, removes unrelated edits, and reviews the complete diff.

In plain words
What is it for?
Use it to prepare a completed change for review, continue an existing pull request, decide when tests are unnecessary, and verify the final diff.
Why use it?
It catches missing tests, unnecessary code, debugging leftovers, and changes that do not belong in the proposed contribution before reviewers see it.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents); mentions AGENTS.md.

Good fit Use it to prepare a completed change for review, continue an existing pull request, decide when tests are unnecessary, and verify the final diff.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pingdotgg/t3code/pull-requests
About the project

T3 Code is an app for controlling AI coding agents running on a user's computer through mobile, web, and desktop interfaces. Developers use it to work remotely with supported agents such as Codex, Claude Code, Cursor, Grok Build, OpenCode, and Antigravity. The catalogue add-ons support the T3 Code workflow.

pingdotgg/t3code · 48,373 stars · on GitHub · t3.codes

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 pingdotgg/t3code --skill pull-requests
Clone the repo
git clone --depth 1 https://github.com/pingdotgg/t3code

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 pull-requests

README.md
[![agentmods](https://agentmods.dev/badge/skills/pingdotgg/t3code/pull-requests/github.svg)](https://agentmods.dev/skills/pingdotgg/t3code/pull-requests)
Your own site
<a href="https://agentmods.dev/skills/pingdotgg/t3code/pull-requests"><img src="https://agentmods.dev/badge/skills/pingdotgg/t3code/pull-requests/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 pull-requests

Your own site · 80×15
<a href="https://agentmods.dev/skills/pingdotgg/t3code/pull-requests"><img src="https://agentmods.dev/badge/skills/pingdotgg/t3code/pull-requests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 617 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.
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 $0.00034 $0.00617
Opus 5.5 $0.00014 $0.00247
Sonnet 5.5 $0.00007 $0.00123
Haiku 4.5 $0.00003 $0.00062

Measured 2d ago against content hash d291556d75a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pull-requests 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 2d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.repos/effect/.agents/skills/pull-requests/SKILL.md · 51 lines

What it actually says

A pull request is ready when its tests, implementation, comments, and changeset are each the simplest that cover the intended behavior. Draft PRs can be used earlier; finishing means making the PR ready for review.

Workflow

Run each step in a fresh-context subagent when available; otherwise run it yourself. Pass along the task context and prior results so each step can check its gate.

  1. Keep tests focused. Read test-development for test placement and type. Cover each intended behavior once, in the existing test file for the module. For changes needing no tests, record why. Continue when removing any remaining case would leave intended behavior uncovered, or no tests are needed.
  2. Simplify the implementation. With the tests passing, look for a simpler or more idiomatic version: reuse helpers and patterns from nearby source and effect-development, and remove debugging code, scaffolding, and changes unrelated to the task. Continue when applicable targeted tests pass and every hunk in the diff from the merge base is required by the task.
  3. Review the full diff from the merge base as a maintainer would: correctness, failure and interruption paths, resource cleanup, naming and API consistency with neighboring modules, and documentation. Fix findings and review again. Continue when a review pass produces no findings.
  4. Clean up. Remove comments that restate code or narrate the change; keep the rest short and about why. Finalize the changeset with changesets. Continue when comments explain only what code cannot, and the changeset describes the final consumer impact or the no-changeset reason is recorded.
  5. Run the validation in the AGENTS.md validation table for each change type in the diff. Fix failures caused by the change; if fixes alter the diff, repeat the affected passes. Continue when applicable checks pass or commands that cannot run and their blockers are recorded.
  6. Open or update the pull request. Title: a short imperative summary. Description: the problem addressed, notable decisions, and Closes #<issue> for each GitHub issue resolved. Do not narrate the diff. Mark the PR ready for review. Continue when the final changes are pushed, the description matches the final diff, and the PR is ready for review.

The task is complete when each step's gate holds, validation has passed or been reported as not runnable with reasons, and the pull request is ready for review with a description matching the final diff.

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. 2d ago First seen · 51 lines · 34 tokens per session scan A d291556d75a7

Subscribe to this mod's changes

pull-requests is a skill published in the GitHub repository pingdotgg/t3code (48,373 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 617 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 2026-11-04.

Related

pull-requests compared with skills from other repositories

pull-requests next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pull-requestspingdotgg/t3codeSkill48kyesterdayMITA34Claude Code, Codex
test-reviewdatahub-project/datahubSkill13kyesterdayApache-2.0A0Claude Code, Codex
grade-testsdotnet/skillsSkill5.8kyesterdayMITA119Claude Code
go-testingGentleman-Programming/gentle-aiSkill8.4kyesterdayMITA26Claude Code, Codex
quality-checklista5c-ai/babysitterSkill1.9k5d agoMITA25Claude Code
brooks-testhyhmrright/brooks-lintSkill1.6kyesterdayMITA161Claude Code
dart-mechanical-refactordartsim/dartSkill1.2kyesterdayBSD-2-ClauseA20Claude Code