Shalom è sicuro?

Shalom — Nerq Trust Score 58.4/100 (Grado D). Punteggio basato su 5 independent trust signals.

Shalom è un software tool con un Punteggio di fiducia Nerq di 58.4/100 (D), based on 5 dimensioni di dati indipendenti. Sicurezza: 0/100. Manutenzione: 0/100. Popolarità: 0/100. Dati provenienti da molteplici fonti pubbliche tra cui registri di pacchetti, GitHub, NVD, OSV.dev e OpenSSF Scorecard. Ultimo aggiornamento: n/a. Dati leggibili dalle macchine (JSON).

Shalom è sicuro?

Dettagli punteggio di fiducia — Shalom has a Nerq Trust Score of 58.4/100 (D). Measured across 5 independent trust signals.

Analisi di Sicurezza → Report sulla privacy di Shalom →

Qual è il punteggio di fiducia di Shalom?

Shalom ha un Nerq Trust Score di 58.4/100 con voto D. Questo punteggio si basa su 5 dimensioni misurate indipendentemente, tra cui sicurezza, manutenzione e adozione della community.

Sicurezza
0
Conformità
100
Manutenzione
0
Documentazione
0
Popolarità
0

Quali sono i risultati di sicurezza chiave per Shalom?

Il segnale più forte di Shalom è conformità a 100/100. Non sono state rilevate vulnerabilità note.

⚠Punteggio di sicurezza: 0/100 (debole)
⚠Manutenzione: 0/100 — bassa attività di manutenzione
⚠Conformità: 100/100 — covers 52 of 52 jurisdictions
⚠Documentazione: 0/100 — documentazione limitata
⚠Popolarità: 0/100 — adozione comunitaria

Cos'è Shalom e chi lo mantiene?

Autorehipo-son
CategoriaUncategorized
Fontehttps://github.com/hipo-son/SHALOM
Frameworksopenai · anthropic
Protocolsmcp · rest

Conformità normativa

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

What Is Shalom?

Shalom is a software tool in the uncategorized category: SHALOM: System of Hierarchical Agents for Logical Orchestration of Materials "Autonomous multi-agent framework for reasoning-driven materials discovery and systematic workflow orchestration.". Nerq Trust Score: 58/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sicurezza vulnerabilities, manutenzione activity, license conformità, and adozione della comunità.

How Nerq Assesses Shalom's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioni. Here is how Shalom performs in each:

The overall Trust Score of 58.4/100 (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 Shalom?

Shalom is commonly evaluated by:

How to read the signals: Shalom's measured signals (sicurezza 0/100, manutenzione 0/100, documentazione 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 Shalom's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Controlla repository's sicurezza policy, open issues, and recent commits for signs of active manutenzione.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Shalom's dependency tree.
  3. Recensione permissions — Understand what access Shalom requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Shalom in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=SHALOM
  6. Controlla license — Confirm that Shalom'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.
  7. 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 sicurezza concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Shalom

When evaluating whether Shalom is safe, consider these category-specific risks:

Data handling

Understand how Shalom processes, stores, and transmits your data. Controlla tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency sicurezza

Check Shalom's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sicurezza risk.

Update frequency

Regularly check for updates to Shalom. Sicurezza patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Shalom 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.

License and IP conformità

Verify that Shalom's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Shalom in violation of its license can expose your organization to legal liability.

Best Practices for Using Shalom Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Shalom while minimizing risk:

Conduct regular audits

Periodically review how Shalom is used in your workflow. Check for unexpected behavior, permissions drift, and conformità with your sicurezza policies.

Keep dependencies updated

Ensure Shalom and all its dependencies are running the latest stable versions to benefit from sicurezza patches.

Follow least privilege

Grant Shalom only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for sicurezza advisories

Subscribe to Shalom's sicurezza advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Shalom is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Shalom

Nerq's signals are one input. In the following situations, evaluate Shalom's measured signals against your own requirements before making a decision:

For each situation, compare Shalom's measured trust score of 58.4/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Shalom is suitable for any particular use.

How Shalom 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. Shalom's score of 58.4/100 is near the category average of 62/100.

This places Shalom 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 moderato 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 Shalom 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 manutenzione patterns change, Shalom'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 sicurezza and quality. Conversely, a downward trend may signal reduced manutenzione, growing technical debt, or unresolved vulnerabilities. To track Shalom's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SHALOM&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 — sicurezza, manutenzione, documentazione, conformità, and community — has evolved independently, providing granular visibility into which aspects of Shalom are strengthening or weakening over time.

Punti chiave

Domande frequenti

Shalom è sicuro?
SHALOM con un Punteggio di fiducia Nerq di 58.4/100 (D). Segnale più forte: conformità (100/100). Punteggio basato su Sicurezza (0/100), Manutenzione (0/100), Popolarità (0/100), Documentazione (0/100).
Qual è il punteggio di fiducia di Shalom?
SHALOM: 58.4/100 (D). Punteggio basato su Sicurezza (0/100), Manutenzione (0/100), Popolarità (0/100), Documentazione (0/100). Compliance: 100/100. I punteggi si aggiornano quando nuovi dati diventano disponibili. API: GET nerq.ai/v1/preflight?target=SHALOM
Quali sono alternative più sicure a Shalom?
Nella categoria Uncategorized, altri software tool sono in fase di analisi — ricontrolla presto. SHALOM scores 58.4/100.
Con che frequenza viene aggiornato il punteggio di Shalom?
Nerq recomputes Shalom's trust score as new data becomes available. Current: 58.4/100 (D). API: GET nerq.ai/v1/preflight?target=SHALOM
Posso usare Shalom in un ambiente regolamentato?
Shalom: 58.4/100 (D). Compliance: 52 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Vedi anche

Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.

Utilizziamo i cookie per analisi e caching. Privacy