19,479 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Runs a structured rigor check over code before it ships, with a specific mode for AI-generated output. Covers problem framing, edge cases, failure modes, explainability, and AI-specific failure patterns — hallucinated APIs, plausible-but-wrong library behavior, tests that mirror the code, defensive scaffolding that…
Review a GitLab Merge Request using the ai-review CLI. Fetches the MR diff, analyses it as a senior software engineer, produces structured inline comments by severity, and optionally posts them back to GitLab. Use when the user wants to review, analyse, or post feedback on a GitLab MR.
Action GitHub pull request review feedback. Use when the user wants to address PR review comments, respond to code review feedback, fix review issues, or says things like "action the review", "address feedback", "handle review comments", or "go through the PR comments". Fetches all unresolved review threads, triages…
Use when writing, reviewing, or refactoring Java code to enforce baseline conventions for imports, nullability, immutability, exceptions, resource handling, naming, and concurrency.
Transform any software repository into a contributor-friendly, production-ready open source project. Analyzes repo health, generates documentation, creates GitHub community files, identifies contribution opportunities, and produces a readiness report. Agent-independent and technology-agnostic.
Development practices and workflows for quality-driven software engineering. Provides TDD, session completion, molecular task execution with formula-based atom graphs, multi-agent code review, entity test remediation, obligation-driven test derivation, test source-of-truth auditing, and obligation reclassification.…
★not rated 2 8d agoA
tokens not measured
originalMIT
Multi-agent code review using 3 parallel subagents (Claude, GPT, Gemini) to review branch changes against origin/main. Validates findings against actual diffs and posts consolidated report to GitHub PR. Use before opening a PR, when wanting multiple AI perspectives on code changes, or for large changesets that might…
Walk through pull request review comments one at a time with the user before making or resolving changes. Uses one orchestrator agent that spawns a fresh subagent per comment with isolated context. Presents click-to-choose polls (AskQuestion) at every decision point so the user picks an approach instead of typing. Two…
Respond to code-review comments on a GitHub PR end to end — fetch unresolved threads, triage real reviewers from CI/bot noise, fix or reason-and-push-back on each, then get one go-ahead on the real diff before pushing, replying to every thread, and resolving the ones no human is waiting on. Use when a PR has review…
Run a Gauntlet Loop on a goal: split work into independent pieces, fan out builder + fresh-context critic pairs, score each piece out of 10 against a concrete bar (reference and/or acceptance criteria), and keep looping until every critical piece is 10/10 or the user stops. Use when the user runs /gauntlet, or says…
Use when refactoring TypeScript code that is hard to read because intent is buried - deeply nested conditionals, complex boolean expressions, magic numbers, long functions whose sections are labeled by comments, or mixed levels of abstraction in one body. Trigger on requests like "this function is unreadable"…
Manage the user's external GitHub PR workflow from project name to fork/clone, multi-agent bug hunting, PR-value validation, formal PR creation, reviewer feedback, and detailed PR comment section expansion. Use when the user asks to fork or clone a GitHub project, find small fixable PR opportunities, launch…
Decides how much review a change has earned before reviewing it: selects quick, standard, or deep from stated signals (changed lines, directory spread, trust-boundary flags, blast radius, docs-only scope), reports the signal table and the rule that fired, then runs house-review at that depth. Use when a change is…
A workflow for preparing and submitting Git pull requests, which are proposals to merge code changes into a repository. It writes a Conventional Commits-style title and explains each issue from business and technical perspectives.
Read-first wrapper around the GitHub REST API — one-call PR/branch overviews (state + checks + reviews + runs), name-resolved PRs and issues, --wait on async flows, --json on lists. Zero token leakage. One write: pr comment.
★not rated 2 5mo agoA
tokens not measured
originalMIT
Open a pull request the safe way and handle review comments on it. Use when creating a branch, pushing work, opening a PR, or working through bot/human review threads. Encodes branch hygiene, an explicit-refspec push that can't accidentally advance main, "open the PR but never merge — bots/maintainer review," and the…
Addresses comments made on the GitHub Pull Request tracking changes of the current branch. What this does is read all Pull Requests comments addressed to the agent, improve or fix the code based on those comments, and reply too each one of those comments. Use this when the user is asking you to address the comments…
Spawn a subagent to perform the quality review. Pass it.
★not rated 2 5mo agoA44 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: