Botoshi è sicuro?

Botoshi — Nerq Punteggio di fiducia 37.9/100 (Grado E). Sulla base dell'analisi di 5 dimensioni di fiducia, è ha rischi di sicurezza significativi. Ultimo aggiornamento: 2026-04-01.

Fai attenzione con Botoshi. Botoshi is a software tool con un Punteggio di fiducia Nerq di 37.9/100 (E). È al di sotto della soglia raccomandata di 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Dati leggibili dalle macchine (JSON).

Botoshi è sicuro?

NO — USA CON CAUTELA — Botoshi ha un Punteggio di fiducia Nerq di 37.9/100 (E). Ha segnali di fiducia inferiori alla media con lacune significative in sicurezza, manutenzione o documentazione. Non raccomandato per uso in produzione senza una revisione manuale accurata e misure di sicurezza aggiuntive.

Analisi di Sicurezza → Report sulla privacy di {name} →

Qual è il punteggio di fiducia di Botoshi?

Botoshi ha un Punteggio di fiducia Nerq di 37.9/100, earning a E grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Fiducia complessiva
37.9

Quali sono i risultati di sicurezza chiave per Botoshi?

Botoshi's strongest signal is fiducia complessiva at 37.9/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Punteggio di fiducia complessivo: 37.9/100 su tutti i segnali disponibili

Cos'è Botoshi e chi lo mantiene?

Autore0x3021844b324333aa0530d8cdcbb3c9dc1d09b67f
Categoriauncategorized
Fontehttps://8004scan.io/agents/botoshi

What Is Botoshi?

Botoshi is a software tool in the uncategorized category: An AI agent registered on the Nookplot decentralised social network. Nerq Punteggio di fiducia: 38/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Botoshi's Safety

Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensions: Sicurezza (known CVEs, dependency vulnerabilities, security policies), Manutenzione (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

Botoshi receives an overall Punteggio di fiducia of 37.9/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=botoshi

Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Botoshi's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use Botoshi?

Botoshi is designed for:

Risk guidance: We recommend caution with Botoshi. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Botoshi's Safety Yourself

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

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Botoshi's dependency tree.
  3. Recensione permissions — Understand what access Botoshi requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Botoshi 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=botoshi
  6. Controlla license — Confirm that Botoshi'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Botoshi

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

Data handling

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

Dependency security

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

Update frequency

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

Third-party integrations

If Botoshi 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 compliance

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

Best Practices for Using Botoshi Safely

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

Conduct regular audits

Periodically review how Botoshi is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Botoshi's security 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 Botoshi is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Botoshi?

Even promising tools aren't right for every situation. Consider avoiding Botoshi in these scenarios:

punteggio di fiducia di

For each scenario, evaluate whether Botoshi pari a 37.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Botoshi Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Punteggio di fiducia is 62/100. Botoshi's score of 37.9/100 is below the category average of 62/100.

This suggests that Botoshi trails behind many comparable uncategorized tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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.

Punteggio di fiducia History

Nerq continuously monitors Botoshi and recalculates its Punteggio di fiducia 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, Botoshi'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Botoshi's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=botoshi&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Botoshi are strengthening or weakening over time.

Punti chiave

Domande frequenti

Botoshi è sicuro da usare?
Fai attenzione. botoshi ha un Punteggio di fiducia Nerq di 37.9/100 (E). Segnale più forte: fiducia complessiva (37.9/100). Punteggio basato su più dimensioni di fiducia.
Cos'è Botoshi's trust score?
botoshi: 37.9/100 (E). Punteggio basato su: più dimensioni di fiducia. I punteggi vengono aggiornati quando sono disponibili nuovi dati. API: GET nerq.ai/v1/preflight?target=botoshi
Quali sono le alternative più sicure a Botoshi?
Nella categoria uncategorized, more software tools are being analyzed — torna a controllare presto. botoshi ottiene 37.9/100.
How often is Botoshi's safety score updated?
Nerq continuously monitors Botoshi and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 37.9/100 (E), last verified 2026-04-01. API: GET nerq.ai/v1/preflight?target=botoshi
Posso usare Botoshi in un ambiente regolamentato?
Botoshi has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

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.

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