Compétences localaipicks
📩

localaipicks

v1.0.0 RĂ©vision du contenu r1 SĂ»r ⚙ Commandes externes🌐 AccĂšs rĂ©seau

Find Local AI Models for Your Hardware

Choosing an open-weight model can be difficult when hardware memory is limited. Local AI Picks helps compare model weights, memory needs, and sources for your device.

Prend en charge: Claude Codex Code(CC)
Maintain this Skill? Claim it đŸ„ˆ 80 Argent

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent
Review the Skillstore skill "localaipicks" from https://skillstore.io/skills/localaipicks-localaipicks.md and its manifest at https://skillstore.io/api/skills/localaipicks-localaipicks/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Tester

Utilisation de « localaipicks ». Find a text model for my 16 GB Mac.

Résultat attendu:

A result can list a model, a fitting weight option, its file size, estimated memory requirement, source link, and catalog date.

Utilisation de « localaipicks ». Compare two shortlisted models.

Résultat attendu:

A comparison can show each model's available weight options, file sizes, licenses, and context lengths.

Audit de sécurité

Sûr
v1 ‱ 27/10/2026 Ouvrir le rapport versionnĂ©

All nine static findings are false positives: the backticks mark Markdown identifiers, and the website links support model research. The instructions request relevant hardware memory and MCP queries, but contain no evidence of malicious reconnaissance or prompt injection.

1
Fichiers analysés
31
Lignes analysées
0
ÉlĂ©ments Ă  examiner
0
Faux positifs ignorés

Facteurs de risque

Le dernier audit statique et sĂ©mantique terminĂ© n’a dĂ©tectĂ© aucun constat de sĂ©curitĂ© confirmĂ©. Cela ne prouve pas que le skill est sans effets secondaires.
Audité par: codex
Partager et citer ce rapport

Partagez le rapport d’évaluation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.

Ouvrir le rapport versionné
Évaluation de sĂ©curitĂ©

Copier le lien du rapport

https://skillstore.io/skills/localaipicks-localaipicks/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/localaipicks-localaipicks/security.svg)](https://skillstore.io/skills/localaipicks-localaipicks?utm_source=security_passport_badge)

Badge HTML

<a href="https://skillstore.io/skills/localaipicks-localaipicks?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/localaipicks-localaipicks/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Carte intégrable

<iframe src="https://skillstore.io/embed/skills/localaipicks-localaipicks.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
Citations académiques (APA · BibTeX · CFF)

Citation APA

Local AI Picks. (2026). localaipicks security audit report (audit version 1) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/localaipicks-localaipicks/audits/1

Citation BibTeX

@techreport{local-ai-picks-localaipicks-localaipicks-2026, author = {Local AI Picks}, title = {localaipicks security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/localaipicks-localaipicks/audits/1}, note = {Author version 1.0.0} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "localaipicks security audit report (audit version 1)" version: "1.0.0" type: report authors: - name: "Local AI Picks" date-released: "2026-10-27" url: "https://skillstore.io/skills/localaipicks-localaipicks/audits/1" identifiers: - type: other value: "skillstore:localaipicks-localaipicks:audit:1" description: "Skillstore immutable audit report identifier"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen
55
Architecture
100
Maintenabilité
85
Contenu
65
Communauté
91
Conformité aux spécifications

Ce que vous pouvez créer

Choose a coding model

Find coding models that fit a GPU and compare their weight options.

Explore models for a Mac

Identify text models suited to the available unified memory.

Compare model details

Review memory requirements, licenses, and sources for shortlisted models.

Essayez ces prompts

Find a model
Find a local text model for a CPU with 16 GB of RAM.
Specify a task
Find coding models for an Apple Silicon computer with 32 GB of unified memory.
Compare options
Compare these models for a GPU with 12 GB of VRAM: [model names]. Include weight sizes, memory needs, and licenses.
Review a shortlist
Find image models for my GPU with [VRAM] GB. Compare suitable weight options and cite sources, catalog dates, and unknown memory requirements.

Bonnes pratiques

  • Provide the task, device type, and relevant available memory.
  • Check the source and catalog date before downloading model weights.
  • Verify the model license and leave memory available for system overhead.

Éviter

  • Do not assume disk file size equals runtime memory use.
  • Do not treat unknown memory requirements as confirmed compatibility.
  • Do not assume the catalog provides speed estimates or model ratings.

Foire aux questions

What models can I search for?
The skill covers open-weight models across tasks such as text, coding, speech, image, video, music, translation, and OCR.
What hardware details should I provide?
Provide your device type and relevant memory: unified memory, GPU VRAM, or system RAM.
Is the MCP server required?
The MCP server is required for tool-based searches and comparisons. Without it, the skill can link to website pages.
Are memory requirements always known?
No. Text model memory may be estimated, while other task requirements may come from vendors or be unknown.
Does the catalog estimate speed?
No. The instructions state that the site provides no speed estimates or ratings.
Does a memory match guarantee a model will run?
No. Runtime configuration and other system requirements can affect whether a model runs successfully.

Détails du développeur

Licence

MIT

Version de l’auteur

v1.0.0

Révision Skillstore

r1

Réf

525d9f82cedba8bd357400a37b4aac0138197a25

Récence de maintenance

27/10/2026

Utilisation

0 téléchargements · 0 vues

Structure de fichiers

📄 SKILL.md

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