loopx-pr-review

loopx-pr-review is a skill for Codex from huangruiteng/loopx. It costs 79 tokens per session (2,429 once invoked), scanned A, original, Apache-2.0.

A LoopX workflow for reviewing pull requests, which are proposed code changes submitted for review before merging. It gathers review evidence and produces a full Chinese review with a concise English verdict.

In plain words
What is it for?
Use it to review pull-request queues, filter them by repository, date, or state, inspect selected changes, record evidence-backed findings, and produce the required review verdict.
Why use it?
It helps keep pull-request reviews complete and tied to the exact code version being reviewed, while separating review from merge approval.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review pull-request queues, filter them by repository, date, or state, inspect selected changes, record evidence-backed findings, and produce the required review verdict.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huangruiteng/loopx/loopx-pr-review
About the project

LoopX is a provider-neutral control plane that gives long-running AI-agent work persistent state, decisions, governance, recovery, and handoffs across different agent harnesses. It is for managing and reviewing durable work performed by Codex, Claude Code, Cursor, dsh, or custom agent systems.

huangruiteng/loopx · 6,356 stars · on GitHub · huangruiteng.github.io

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 huangruiteng/loopx --skill loopx-pr-review
Clone the repo
git clone --depth 1 https://github.com/huangruiteng/loopx

Made for: 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 loopx-pr-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/huangruiteng/loopx/loopx-pr-review"><img src="https://agentmods.dev/badge/skills/huangruiteng/loopx/loopx-pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,429 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 $0.00079 $0.02429
Opus 5.5 $0.00032 $0.00972
Sonnet 5.5 $0.00016 $0.00486
Haiku 4.5 $0.00008 $0.00243

Measured 1mo ago against content hash 752a90c3e00f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

loopx-pr-review 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.

skills/loopx-pr-review/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LoopX PR Review

This skill is a thin host adapter. The built-in pull-request-review capability owns review depth, evidence requirements, completeness, and verdict policy through the CLI packet. Do not copy those rules into this skill or replace them with a host-specific checklist.

Route

Use this skill for /loopx-pr-review, explicit PR reviews, or review queues by state or time window. Route approval, merge, self-merge, and admin bypass to loopx-pr-merge (optional repo-kept workflow, not installed by default) after the evidence review is complete; it never replaces this skill's exact-head gate.

Run loopx --format json pr-review --state all before ad hoc GitHub reads.

Translate only explicit filters:

  • --repo owner/repo
  • --since ISO
  • --state open|merged|all
  • --limit N
  • --review-priority other-developers-first|owner-first (default other-developers-first; use owner-first to opt into owner priority) When omitted, the CLI resolves pull_request_review from the standard machine capability editor; an absent namespace keeps the default other-developers-first. Words such as today, open, or merged are filters, not permission to return a table only; stats-only output needs an explicit opt-out such as 只统计 or stats only.

Preserve The Packet

Save the full first JSON packet before printing a compact projection. Keep all paths named by agent_response_contract.required_packet_fields_to_preserve:

  • agent_response_contract.review_execution_contract
  • result_completeness and scheduling_policy
  • review_groups
  • pull_requests[review_action_kind!=null].review_plan
  • pull_requests[review_action_kind!=null].review_template
  • pull_requests[review_action_kind!=null].evidence_commands

Do not pipe the only copy through jq. When an exhaustive request has result_completeness.complete=false, rerun with its recommended_limit before reviewing.

Require execution policy_revision == 7; a schema name alone is insufficient. If missing or unequal, do not publish APPROVE; a conservative REQUEST_CHANGES is allowed only when it names the incompatible-policy evidence gap. Do not retain expired temporary worktree overrides. Honor explicit runtime pins, but report incompatible policy instead of silently downgrading the review.

Read the full file on GitHub · 181 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed 752a90c3e00f
  2. 1mo ago Changed 64c5464e3af4
  3. 1mo ago Changed d1f2c2b0e568
  4. 1mo ago Changed · +1 lines f0931a3e82e8
  5. 1mo ago Changed a428012b9483
  6. 1mo ago Changed · -1 lines 863ab5c172a7
  7. 1mo ago Changed 287fa34606ec
  8. 1mo ago Changed · +1 lines 2a5f69f31982
  9. 1mo ago Changed · -9 lines da5068899d1a
  10. 1mo ago First seen · 189 lines · 79 tokens per session scan A 67c7f2d8cf11

Subscribe to this mod's changes

loopx-pr-review is a skill published in the GitHub repository huangruiteng/loopx (6,356 stars, last pushed 6d ago), licensed Apache-2.0. It adds 79 tokens to every session and 2,429 once invoked, about $0.0003 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.

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