Apakah Moltbot Mk Aman?

Moltbot Mk — Nerq Trust Score 72.6/100 (Nilai B). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-06-17.

Ya, Moltbot Mk aman digunakan. Moltbot Mk adalah software tool dengan Skor Kepercayaan Nerq sebesar 72.6/100 (B), based on 5 dimensi data independen. Direkomendasikan untuk digunakan. Keamanan: 0/100. Pemeliharaan: 1/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-06-17. Data yang dapat dibaca mesin (JSON).

Apakah Moltbot Mk Aman?

YES — Moltbot Mk has a Nerq Trust Score of 72.6/100 (B). Memenuhi ambang batas kepercayaan Nerq dengan sinyal kuat di keamanan, pemeliharaan, dan adopsi komunitas. Direkomendasikan untuk digunakan — tinjau laporan lengkap di bawah untuk pertimbangan spesifik.

Analisis Keamanan → Laporan Privasi Moltbot Mk →

Berapa skor kepercayaan Moltbot Mk?

Moltbot Mk memiliki Skor Kepercayaan Nerq 72.6/100 dengan nilai B. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
84
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Moltbot Mk?

Sinyal terkuat Moltbot Mk adalah kepatuhan pada 84/100. Tidak ada kerentanan yang diketahui terdeteksi. Memenuhi ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
Kepatuhan: 84/100 — covers 43 of 52 jurisdictions
Dokumentasi: 1/100 — dokumentasi terbatas
Popularitas: 0/100 — adopsi komunitas

Apa itu Moltbot Mk dan siapa yang mengelolanya?

Pembuatcheungmankwan
KategoriCoding
Sumberhttps://github.com/cheungmankwan/moltbot-mk
Frameworksanthropic
Protocolsrest

Kepatuhan Regulasi

EU AI Act Risk ClassMINIMAL
Compliance Score84/100
JurisdictionsAssessed across 52 jurisdictions

Alternatif Populer di coding

Significant-Gravitas/AutoGPT
61.8/100 · C+
github
ollama/ollama
56.5/100 · C
github
langchain-ai/langchain
69.8/100 · B-
github
x1xhlol/system-prompts-and-models-of-ai-tools
55.0/100 · C
github
anomalyco/opencode
62.6/100 · C+
github

What Is Moltbot Mk?

Moltbot Mk is a software tool in the coding category: Runs OpenClaw personal AI assistant in Cloudflare Sandbox.. Nerq Trust Score: 73/100 (B).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Moltbot Mk's Safety

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

The overall Trust Score of 72.6/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.

Who Should Use Moltbot Mk?

Moltbot Mk is designed for:

Risk guidance: Moltbot Mk meets the minimum threshold for production use, but we recommend monitoring for keamanan advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.

How to Verify Moltbot Mk's Safety Yourself

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

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

Common Safety Concerns with Moltbot Mk

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

Data handling

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

Dependency keamanan

Check Moltbot Mk's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.

Update frequency

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

Third-party integrations

If Moltbot Mk 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 kepatuhan

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

Moltbot Mk and the EU AI Act

Moltbot Mk 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 kepatuhan assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal kepatuhan.

Best Practices for Using Moltbot Mk Safely

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

Conduct regular audits

Periodically review how Moltbot Mk is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.

Keep dependencies updated

Ensure Moltbot Mk and all its dependencies are running the latest stable versions to benefit from keamanan patches.

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Moltbot Mk's keamanan 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 Moltbot Mk is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Moltbot Mk?

Even well-trusted tools aren't right for every situation. Consider avoiding Moltbot Mk in these scenarios:

For each scenario, evaluate whether Moltbot Mk's trust score of 72.6/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Moltbot Mk Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Moltbot Mk's score of 72.6/100 is significantly above the category average of 62/100.

This places Moltbot Mk in the top tier of coding tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature keamanan practices, consistent release cadence, and broad adopsi komunitas.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 Moltbot Mk 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 pemeliharaan patterns change, Moltbot Mk'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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track Moltbot Mk's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=moltbot-mk&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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Moltbot Mk are strengthening or weakening over time.

Moltbot Mk vs Alternatif

In the coding category, Moltbot Mk scores 72.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Moltbot Mk Aman?
Ya, aman digunakan. moltbot-mk dengan Skor Kepercayaan Nerq sebesar 72.6/100 (B). Sinyal terkuat: kepatuhan (84/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Moltbot Mk?
moltbot-mk: 72.6/100 (B). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 84/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=moltbot-mk
Apa alternatif yang lebih aman dari Moltbot Mk?
Dalam kategori Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (62/100), ollama/ollama (56/100), langchain-ai/langchain (70/100). moltbot-mk scores 72.6/100.
Seberapa sering skor keamanan Moltbot Mk diperbarui?
Nerq continuously monitors Moltbot Mk and updates its trust score as new data becomes available. Current: 72.6/100 (B), last terverifikasi 2026-06-17. API: GET nerq.ai/v1/preflight?target=moltbot-mk
Bisakah saya menggunakan Moltbot Mk di lingkungan yang diatur?
Moltbot Mk memenuhi ambang verifikasi Nerq (70+). Aman untuk penggunaan produksi.
API: /v1/preflight Trust Badge API Docs

Lihat juga

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