triage-issue

par nvidia

Évaluer, classer et acheminer les problèmes soumis par la communauté. Prend un numéro de problème spécifique ou traite par lots tous les problèmes ouverts portant l'étiquette state:triage-needed.

npx skills add https://github.com/nvidia/openshell --skill triage-issue

Triage Issue

Triage establishes whether a reported OpenShell problem is technically valid and sufficiently evidenced. A maintainer decides whether the project accepts valid work and where it belongs on the roadmap. Inspect current GitHub label names and descriptions; the general issue lifecycle uses state:* labels, but their exact names may change.

Scope and authorization

For a specific issue, assess it when requested. For batch triage, first show the issue count and a sample of titles and obtain explicit authorization before posting comments or changing labels on multiple issues. Do not infer that a label alone authorizes bulk changes.

Do not apply an acceptance state, place issues on the roadmap, or make a product investment decision. Do not introduce agent:* workflow labels. Follow SECURITY.md if the report may disclose a vulnerability; do not copy sensitive details into a public comment.

Assess one issue

  1. Run gh issue view <id> --json number,title,body,state,labels,author,comments. Follow Label Discovery in CONTRIBUTING.md to retrieve every page of current state:* label definitions and resolve unclear meanings. Check for previous triage, new human evidence, an existing owner, and duplicate issues.
  2. Confirm the User Story attests that the human operator personally uses OpenShell and directly encountered the problem or needs the feature for a specific use case. If this is absent, request that first-hand context; do not invent it. Check the Problem Statement, impact, workaround and its limits, and observable acceptance criteria.
  3. For bugs, verify reproduction steps using only OpenShell deployments. Do not install third-party tools solely to demonstrate reproducibility. Check the OpenShell version and relevant deployment details. For features, check the user-facing workflow and alternatives. Consider applicable middleware, interceptors, providers, and other extension points; prefer an applicable extension when it satisfies the use case, and do not dismiss it merely because it runs another service.
  4. For proposed configuration, CLI, SDK, or other UX changes, request notional examples of the suggested interaction if missing. Keep the issue framed entirely in terms of OpenShell.
  5. Reproduce or investigate enough to distinguish a confirmed bug, feasible feature, missing evidence, duplicate, already-fixed behavior, or expected behavior. State what was observed and what remains uncertain. Do not turn a failed reproduction attempt alone into a dismissal.
  6. Post a concise comment beginning with > **📋 triage-agent**. Explain the evidence, any exact missing information, and the next human decision. Replace the previous assessment state with the appropriate current assessment state only after checking repository definitions. Preserve maintainer acceptance, execution state, roadmap decisions, and unrelated labels; do not accumulate assessment states.

If substantial technical uncertainty remains, recommend create-spike with specific questions to answer. A direct user request can separately authorize planning or implementation through build-from-issue; it does not change the issue's recorded disposition.

Plus de skills de nvidia

fhir-basics
nvidia
Apprend aux agents comment fonctionnent les API FHIR R4, quelles ressources sont disponibles, comment les interroger avec des paramètres de recherche, et comment analyser correctement tous les formats de réponse…
compileiq-validate-result
nvidia
Utiliser APRÈS qu'une recherche soit terminée et AVANT de réclamer un accélérateur ou d'expédier un ACF. Charge le CSV dump_results, extrait les K meilleurs candidats (mono-objectif)…
changelog-audit
nvidia
Auditer le CHANGELOG.md de Warp avant une publication : récupérer les entrées perdues, trier par impact utilisateur, affiner le langage des entrées, ajuster les retours à la ligne et (en mode branche de publication) mettre à jour la comparaison…
dgx-diagnose
nvidia
Diagnostiquer les problèmes courants du DGX Station GB300 — plantages CUDA, ciblage incorrect du GPU, bugs de conteneur vLLM/SGLang, problèmes d'état MIG, erreurs 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
À utiliser lors de la création d'un diaporama HTML autonome ou d'un support visuel pour un concept technique ou un flux de travail (par exemple un demos/*.html) — affiché en plein écran ou…
aicr-creating-guided-demos
nvidia
Génère un script de démonstration guidée interactive (demos/*.sh), en direct ou à son rythme, avec le modèle Frame → Tell → Show → Close. Se déclenche sur « script de démonstration », « guidé…
aicr-analyzing-snapshots
nvidia
À utiliser lors de l'analyse d'un fichier YAML de snapshot AICR, de l'examen de l'état du cluster, de la comparaison des caractéristiques des fournisseurs, de l'extraction d'informations sur la topologie GPU/réseau, ou…