Learnskill Agent Foundrylocal est-il sûr ?
Learnskill Agent Foundrylocal — Nerq Trust Score 57.5/100 (Note C). Sur la base de l'analyse de 5 dimensions de confiance, il est a des préoccupations de sécurité notables. Dernière mise à jour : 2026-04-27.
Utilisez Learnskill Agent Foundrylocal avec précaution. Learnskill Agent Foundrylocal est un software tool avec un Nerq Trust Score de 57.5/100 (C), basé sur 5 dimensions de données indépendantes. En dessous du seuil vérifié Nerq Sécurité: 0/100. Maintenance: 1/100. Popularité: 0/100. Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: 2026-04-27. Données lisibles par machine (JSON).
Learnskill Agent Foundrylocal est-il sûr ?
CAUTION — Learnskill Agent Foundrylocal has a Nerq Trust Score of 57.5/100 (C). Il présente des signaux de confiance modérés mais montre certaines zones de préoccupation that warrant attention. Suitable for development use — review sécurité and maintenance signals before production deployment.
Quel est le score de confiance de Learnskill Agent Foundrylocal ?
Learnskill Agent Foundrylocal a un Score de Confiance Nerq de 57.5/100, obtenant la note C. Ce score est basé sur 5 dimensions mesurées indépendamment.
Quels sont les résultats de sécurité clés pour Learnskill Agent Foundrylocal ?
Le signal le plus fort de Learnskill Agent Foundrylocal est conformité à 100/100. Aucune vulnérabilité connue n'a été détectée. N'a pas encore atteint le seuil vérifié Nerq de 70+.
Qu'est-ce que Learnskill Agent Foundrylocal et qui le maintient ?
| Auteur | leestott |
| Catégorie | Content |
| Étoiles | 2 |
| Source | https://github.com/leestott/learnskill-agent-foundrylocal |
| Frameworks | openai · anthropic |
| Protocols | mcp · rest |
Conformité réglementaire
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatives populaires dans content
What Is Learnskill Agent Foundrylocal?
Learnskill Agent Foundrylocal is a software tool in the content category: Generates comprehensive onboarding documentation using a hybrid AI approach.. It has 2 GitHub stars. Nerq Trust Score: 58/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.
How Nerq Assesses Learnskill Agent Foundrylocal's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Learnskill Agent Foundrylocal performs in each:
- Sécurité (0/100): Learnskill Agent Foundrylocal's sécurité posture is poor. This score factors in known CVEs, dependency vulnerabilities, sécurité policy presence, and code signing practices.
- Maintenance (1/100): Learnskill Agent Foundrylocal is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Learnskill Agent Foundrylocal is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basé sur GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 57.5/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Learnskill Agent Foundrylocal?
Learnskill Agent Foundrylocal is designed for:
- Developers and teams working with content tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Learnskill Agent Foundrylocal is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sécurité posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Learnskill Agent Foundrylocal's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Examiner le/la repository's sécurité policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Learnskill Agent Foundrylocal's dependency tree. - Avis permissions — Understand what access Learnskill Agent Foundrylocal requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Learnskill Agent Foundrylocal in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=learnskill-agent-foundrylocal - Examiner le/la license — Confirm that Learnskill Agent Foundrylocal's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Learnskill Agent Foundrylocal
When evaluating whether Learnskill Agent Foundrylocal is safe, consider these category-specific risks:
Understand how Learnskill Agent Foundrylocal processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Learnskill Agent Foundrylocal's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sécurité risk.
Regularly check for updates to Learnskill Agent Foundrylocal. Sécurité patches and bug fixes are only effective if you're running the latest version.
If Learnskill Agent Foundrylocal connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Learnskill Agent Foundrylocal's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Learnskill Agent Foundrylocal in violation of its license can expose your organization to legal liability.
Learnskill Agent Foundrylocal and the EU AI Act
Learnskill Agent Foundrylocal is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's conformité assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal conformité.
Best Practices for Using Learnskill Agent Foundrylocal Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Learnskill Agent Foundrylocal while minimizing risk:
Periodically review how Learnskill Agent Foundrylocal is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.
Ensure Learnskill Agent Foundrylocal and all its dependencies are running the latest stable versions to benefit from sécurité patches.
Grant Learnskill Agent Foundrylocal only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Learnskill Agent Foundrylocal's sécurité advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Learnskill Agent Foundrylocal is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Learnskill Agent Foundrylocal?
Even promising tools aren't right for every situation. Consider avoiding Learnskill Agent Foundrylocal in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional conformité review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Learnskill Agent Foundrylocal's trust score of 57.5/100 meets your organization's risk tolerance. We recommend running a manual sécurité assessment alongside the automated Nerq score.
How Learnskill Agent Foundrylocal Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among content tools, the average Trust Score is 62/100. Learnskill Agent Foundrylocal's score of 57.5/100 is near the category average of 62/100.
This places Learnskill Agent Foundrylocal in line with the typical content tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks modéré in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Learnskill Agent Foundrylocal and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Learnskill Agent Foundrylocal's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to sécurité and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Learnskill Agent Foundrylocal's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=learnskill-agent-foundrylocal&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Learnskill Agent Foundrylocal are strengthening or weakening over time.
Learnskill Agent Foundrylocal vs Alternatives
In the content category, Learnskill Agent Foundrylocal scores 57.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Learnskill Agent Foundrylocal vs prompt-optimizer — Trust Score: 67.1/100
- Learnskill Agent Foundrylocal vs AudioGPT — Trust Score: 72.0/100
- Learnskill Agent Foundrylocal vs magika — Trust Score: 61.6/100
Points Essentiels
- Learnskill Agent Foundrylocal has a Trust Score of 57.5/100 (C) and is not yet Nerq Verified.
- Learnskill Agent Foundrylocal shows modéré trust signals. Conduct thorough due diligence before deploying to production environments.
- Among content tools, Learnskill Agent Foundrylocal scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Analyse détaillée du score
| Dimension | Score |
|---|---|
| Sécurité | 0/100 |
| Maintenance | 1/100 |
| Popularité | 0/100 |
Basé sur 3 dimensions. Data from plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard.
Quelles données Learnskill Agent Foundrylocal collecte-t-il ?
Confidentialité assessment for Learnskill Agent Foundrylocal is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Learnskill Agent Foundrylocal est-il sécurisé ?
Sécurité score: 0/100. Review sécurité practices and consider alternatives with higher sécurité scores for sensitive use cases.
Nerq surveille cette entité par rapport à NVD, OSV.dev et aux bases de données de vulnérabilités spécifiques aux registres pour une évaluation de sécurité continue.
Analyse complète : Rapport de sécurité de Learnskill Agent Foundrylocal
Comment nous avons calculé ce score
Learnskill Agent Foundrylocal's trust score of 57.5/100 (C) est calculé à partir de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Le score reflète 3 dimensions indépendantes: sécurité (0/100), maintenance (1/100), popularité (0/100). Chaque dimension est pondérée de manière égale pour produire le score de confiance composite.
Nerq analyse plus de 7,5 millions d'entités dans 26 registres en utilisant la même méthodologie, permettant une comparaison directe entre entités. Les scores sont mis à jour en continu dès que de nouvelles données sont disponibles.
Cette page a été révisée pour la dernière fois le April 27, 2026. Version des données: 1.0.
Documentation complète de la méthodologie · Données lisibles par machine (API JSON)
Questions fréquentes
Learnskill Agent Foundrylocal est-il sûr ?
Quel est le score de confiance de Learnskill Agent Foundrylocal ?
Quelles sont les alternatives plus sûres à Learnskill Agent Foundrylocal ?
À quelle fréquence le score de sécurité de Learnskill Agent Foundrylocal est-il mis à jour ?
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Voir aussi
Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.