What is nemoclaw-maintainer-pr-comparator?

A workflow for comparing multiple open pull requests that address the same issue. It checks eligibility first, then evaluates correctness and code quality before recommending one.

Use it to inspect an issue's requirements, detect superseded changes, score candidate pull requests, and produce a recommendation with supporting evidence.

It provides a consistent way to choose between competing fixes and identifies useful work when no candidate passes the initial checks.

How NVIDIA/NemoClaw configures Claude Code

About the project

NVIDIA/NemoClaw is an open-source reference stack for running supported AI agents inside NVIDIA OpenShell sandboxes with managed inference, network policies, integrations, snapshots, and lifecycle controls. It is used to run agents such as OpenClaw, Hermes, and LangChain Deep Agents with administrative and security controls. Catalogue add-ons guide coding agents through NemoClaw workflows.

NVIDIA/NemoClaw · 22,427 stars · on GitHub · docs.nvidia.com

Reuse

Borrowing it

Nothing to install: this file belongs to NVIDIA/NemoClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/NVIDIA/NemoClaw/main/.agents/skills/nemoclaw-maintainer-pr-comparator/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/NVIDIA/NemoClaw

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-pr-comparator/github.svg)](https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-maintainer-pr-comparator)

Your own site

<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-maintainer-pr-comparator"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-pr-comparator/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-maintainer-pr-comparator"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-pr-comparator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,770 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

Snyk warn 7 Sept 2026
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.

Model	Per session	Once invoked
Fable 5.1	$0.00054	$0.01770
Opus 5	$0.00027	$0.00885
Sonnet 5	$0.00011	$0.00354
Haiku 4.5	$0.00005	$0.00177

Measured 11d ago against content hash a8f881177cfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nemoclaw-maintainer-pr-comparator 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 11d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/check-coderabbit-threads.sh, scripts/collect-gates.sh, scripts/find-candidates.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/nemoclaw-maintainer-pr-comparator/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Comparator

Compare PRs for one issue. Tier 0 determines eligibility. Tiers 1 and 2 score correctness and quality. Tier 3 resolves ties. If no PR passes Tier 0, rank eligible PRs for salvage.

Prerequisites

gh CLI installed and authenticated
A target repository with an issue that has two or more open PRs

Repo policy

The defaults use NemoClaw conventions for CODEOWNERS, DCO, CodeRabbit, and docs/. Read the canonical superseded-PR attribution policy in ../nemoclaw-maintainer-policies/references/workflow-policy.md. Edit repo-policy.md for another repository.

Workflow

Copy this checklist into your response and check off each step:

PR Comparison Progress:
- [ ] Step 1: Parse issue (body + comments) for acceptance criteria
- [ ] Step 2: Discover candidate PRs in the defined order
- [ ] Step 3: Detect supersession and classify transferred work
- [ ] Step 4: Run Tier 0 gates per PR
- [ ] Step 5: Run Tier 1 correctness checks per PR
- [ ] Step 6: Run Tier 2 quality checks per PR
- [ ] Step 7: Compute weighted scores
- [ ] Step 8: Apply Tier 3 ranking (happy path or degraded mode)
- [ ] Step 9: Emit verdict using templates/verdict.md

Step 1: Parse issue

Read the issue body and all comments. Extract each acceptance criterion:

gh issue view <issue-number> --json title,body,comments

Comments can add requirements that are absent from the issue body.

Step 2: Discover candidate PRs

scripts/find-candidates.sh <issue-number>

Applies a single default order with stop conditions.

Step 3: Detect supersession and transferred work

scripts/parse-supersession.sh <pr-number-1> <pr-number-2> ...

Parse the case-insensitive statement families implemented by scripts/parse-supersession.sh:

supersed[a-z]* before #N: supersedes #N points from the current PR to #N; superseded by #N points from #N to the current PR.
replac[a-z]* before #N: replaces #N points from the current PR to #N; replaced by #N points from #N to the current PR.
clos[a-z]* in favor of before #N: closes in favor of #N and closed in favor of #N point from #N to the current PR.
fold[a-z]* in before #N: folds in #N points from the current PR to #N; folded into #N points from #N to the current PR.

Read the full file on GitHub · 167 lines

Files

What ships with it

12 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.

11d ago First seen · 167 lines · 54 tokens per session scan A a8f881177cfb

Subscribe to this mod's changes

nemoclaw-maintainer-pr-comparator is a skill published in the GitHub repository NVIDIA/NemoClaw (22,427 stars, last pushed today), licensed Apache-2.0. It adds 54 tokens to every session and 1,770 once invoked, about $0.0003 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.

Git and workflow NVIDIA TypeScript ai-agents openclaw openshell sandboxing

update-skills

Create or update repository skills and instructions when major learnings are discovered during a session. Use when the user says "learn!", when a significant pattern or pitfall is identified, or when reusable domain knowledge should be captured for future sessions.

microsoft/vscode · 51 tokens

github-copilot-upgrader

Use this to update the Github Copilot CLI/SDK.

microsoft/vscode · 18 tokens

commit

Commit staged or unstaged changes with an AI-generated commit message that matches the repository's existing commit style. Use when the user asks to 'commit', 'commit changes', 'create a commit', 'save my work', or 'check in code'.

microsoft/vscode · 52 tokens

sync

Sync the current session branch with its upstream branch, or publish the current session branch to a remote. Use when the user asks to sync a branch, pull latest changes, rebase onto upstream, push current branch, publish branch, or set upstream.