nemoclaw-maintainer-pr-comparator

por nvidia

Compara PRs competidoras que apuntan al mismo problema y recomienda cuál fusionar. Ejecuta comprobaciones de puerta, corrección y calidad; genera un resultado determinista…

npx skills add https://github.com/nvidia/nemoclaw --skill nemoclaw-maintainer-pr-comparator

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 Read the canonical superseded-PR attribution policy in ../nemoclaw-maintainer-policies/references/workflow-policy.md.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.

Execute comparator helpers from a fetched canonical NVIDIA/NemoClaw main checkout, or verify their executable code and dependencies against that revision before use. Candidate-modified helpers must not receive GitHub credentials. Inspect helper source when needed; a section heading does not establish trust.

Workflow

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  • supersed[a-z]* before #N: supersedes #N points from the current PR to #N; superseded by #N points from #N to the current PR.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.

The bracket expressions describe the parser grammar; they are not literal PR body text. A follow-up to #N statement is a related-PR signal, not a supersession declaration, unless one of these phrases also appears. These statements record a relationship. They do not rank a candidate or prove that its diff contains another contributor's work.

For each declared or suspected replacement, compare the commits and diffs and classify the relationship:

  • independent: The PR implements the issue without carrying material code, tests, or documentation from another contributor.
  • transferred: The PR carries material work from another contributor.
  • unclear: The available evidence does not establish whether another contributor's work remains.

For transferred, apply the canonical superseded-PR attribution policy before setting a winner or recommending that the source PR be closed. For unclear, leave winner null and request maintainer judgment.

Step 4: Tier 0 gates

scripts/collect-gates.sh <pr-number>
scripts/check-coderabbit-threads.sh <pr-number>
git fetch --no-tags origin refs/heads/main:refs/remotes/origin/main
bash <(git show origin/main:.agents/skills/nemoclaw-maintainer-day/scripts/run-trusted-check-gates.sh) <pr-number>

All six gates are required. Gate 3 accepts BEHIND, but fails closed on transient UNSTABLE evidence and on BLOCKED because the comparator cannot prove a stable merge result or every GitHub branch-protection condition. Separately confirm whether an active rule requires an up-to-date branch. If so, integrate the base and rerun all candidate evidence before declaring the PR eligible to merge. Treat PR Review Advisor output as input for maintainer review. Do not treat it as merge authorization. See checks/tier-0-gates.md.

Step 5: Tier 1 correctness

Apply the six model checks in checks/tier-1-correctness.md.

Step 6: Tier 2 quality

Apply the four model checks in checks/tier-2-quality.md.

Step 7: Weighted score

  • Build the Tier 0 eligibility set from these Boolean keys: state_open, ci_green_sha, mergeable, contributor_compliance, branch_protection, and coderabbit_threads_resolved.
  • Stop if a candidate omits a required key, has an unknown key, or has a value that is not Boolean.
  • Only PRs for which all six gates are true enter happy-path scoring.
  • Each pass = full points
  • Each yellow = half points
  • Each fail = zero
  • Tier 1 weight: 2.0× per check
  • Tier 2 weight: 1.0× per check

Step 8: Tier 3 ranking

Compute the mode from the Tier 0 results. Do not accept a mode from the caller. In happy mode, set winner only to an eligible PR and set closest_to_ready to null. Leave winner null when the evidence does not support a merge recommendation. Do not set winner for a replacement with transferred work until the required attribution is present and verified. In degraded mode, set winner to null. Set closest_to_ready only to an open PR that passes contributor requirements. See tiebreakers.md.

Step 9: Emit verdict

Use templates/verdict.md and render the result with scripts/render-verdict.py. Stop if the renderer exits with a nonzero status. Do not recommend a merge. The renderer validates the gate schema, mode, winner eligibility, and salvage-candidate eligibility. The reviewer remains responsible for the score, ranking, and evidence. For each judgment, include evidence, the inference, and the score.

Reference files

Scripts

  • scripts/find-candidates.sh — PR discovery
  • scripts/collect-gates.sh — Tier 0 gate evaluation
  • scripts/check-coderabbit-threads.sh — GraphQL thread-resolution check
  • scripts/parse-supersession.sh — body parsing for supersession refs
  • scripts/render-verdict.py — verdict scorecard renderer

Limits

Run nemoclaw-maintainer-cross-issue-sweep separately when you need related-issue evidence.

This skill does not:

  • run PR code against adversarial inputs
  • scan other issues for related behavior
  • simulate reverts against related PRs
  • run static analyzers such as CodeQL or Semgrep

Más skills de nvidia

fhir-basics
nvidia
Enseña a los agentes cómo funcionan las APIs de FHIR R4, qué recursos están disponibles, cómo consultarlos con parámetros de búsqueda y cómo analizar correctamente todos los formatos de respuesta…
compileiq-validate-result
nvidia
Usar DESPUÉS de que una Búsqueda haya finalizado y ANTES de reclamar cualquier aceleración o enviar un ACF. Carga el CSV de dump_results, extrae los mejores K candidatos (de un solo objetivo)…
changelog-audit
nvidia
Auditar el CHANGELOG.md de Warp antes de un lanzamiento: recuperar entradas perdidas, ordenar por impacto en el usuario, refinar el lenguaje de las entradas, ajustar saltos de línea y (en modo rama de lanzamiento) incrementar comparación…
dgx-diagnose
nvidia
Diagnostica problemas comunes de la DGX Station GB300: fallos de CUDA, direccionamiento incorrecto de GPU, errores de contenedores vLLM/SGLang, problemas de estado MIG, errores de NVLink/Fabric Manager,…
aicr-managing-openvex
nvidia
Use when adding, updating, or removing CVE/GHSA suppressions in `.openvex.json` — the OpenVEX document consumed by the daily image vulnerability scan workflow.…
aicr-creating-slide-decks
nvidia
Úsalo al crear una presentación de diapositivas HTML autónoma o un punto visual de discusión para un concepto técnico o flujo de trabajo (por ejemplo, un demos/*.html) — que se muestra a pantalla completa o…
aicr-creating-guided-demos
nvidia
Genera un guion de demostración interactiva guiada (demos/*.sh), en vivo o a tu propio ritmo, con el patrón Marco → Cuenta → Muestra → Cierra. Se activa con "guion de demo", "guiada…
aicr-analyzing-snapshots
nvidia
Úsalo al analizar un archivo YAML de instantánea de AICR, revisar el estado del clúster, comparar características de proveedores, extraer información de topología de GPU/red, o…