Llmio est-il sûr ?
Llmio — Nerq Trust Score 54.1/100 (Note D). Score basé sur 5 independent trust signals.
Llmio est un software tool avec un Nerq Trust Score de 54.1/100 (D), basé sur 5 dimensions de données indépendantes. Sécurité: 0/100. Maintenance: 0/100. Popularité: 0/100. Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: n/a. Données lisibles par machine (JSON).
Llmio est-il sûr ?
Détail du score de confiance — Llmio has a Nerq Trust Score of 54.1/100 (D). Measured across 5 independent trust signals.
Quel est le score de confiance de Llmio ?
Llmio a un Score de Confiance Nerq de 54.1/100, obtenant la note D. Ce score est basé sur 5 dimensions mesurées indépendamment.
Quels sont les résultats de sécurité clés pour Llmio ?
Le signal le plus fort de Llmio est conformité à 100/100. Aucune vulnérabilité connue n'a été détectée.
Qu'est-ce que Llmio et qui le maintient ?
| Auteur | atopos31 |
| Catégorie | Uncategorized |
| Source | https://hub.docker.com/r/atopos31/llmio |
| Protocols | docker |
Conformité réglementaire
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
What Is Llmio?
Llmio is a software tool in the uncategorized category: llm负载均衡网关. Nerq Trust Score: 54/100 (D).
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 Llmio's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Llmio performs in each:
- Sécurité (0/100): Llmio's sécurité posture is poor. This score factors in known CVEs, dependency vulnerabilities, sécurité policy presence, and code signing practices.
- Maintenance (0/100): Llmio is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Llmio 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 54.1/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Llmio?
Llmio is commonly evaluated by:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Llmio's measured signals (sécurité 0/100, maintenance 0/100, documentation 0/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify Llmio'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 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 Llmio's dependency tree. - Avis permissions — Understand what access Llmio requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Llmio 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=llmio - Examiner le/la license — Confirm that Llmio'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 Llmio
When evaluating whether Llmio is safe, consider these category-specific risks:
Understand how Llmio processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Llmio's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sécurité risk.
Regularly check for updates to Llmio. Sécurité patches and bug fixes are only effective if you're running the latest version.
If Llmio 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 Llmio's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Llmio in violation of its license can expose your organization to legal liability.
Best Practices for Using Llmio Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Llmio while minimizing risk:
Periodically review how Llmio is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.
Ensure Llmio and all its dependencies are running the latest stable versions to benefit from sécurité patches.
Grant Llmio only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Llmio's sécurité advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Llmio is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Llmio
Nerq's signals are one input. In the following situations, evaluate Llmio's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Llmio's measured trust score of 54.1/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Llmio is suitable for any particular use.
How Llmio Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Llmio's score of 54.1/100 is near the category average of 62/100.
This places Llmio in line with the typical uncategorized 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 Llmio 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, Llmio'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 Llmio's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=llmio&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 Llmio are strengthening or weakening over time.
Points Essentiels
- Llmio has a measured Nerq Trust Score of 54.1/100 (D) — a composite of independent signals, not a suitability judgment.
- Among uncategorized tools, Llmio scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — sécurité, maintenance, documentation, conformité, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Questions fréquentes
Llmio est-il sûr ?
Quel est le score de confiance de Llmio ?
Quelles sont les alternatives plus sûres à Llmio ?
À quelle fréquence le score de sécurité de Llmio est-il mis à jour ?
Puis-je utiliser Llmio dans un environnement réglementé ?
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.