Apakah Moltbot Main Aman?
Moltbot Main — Nerq Trust Score 64.0/100 (Nilai C). Skor berdasarkan 5 independent trust signals.
Moltbot Main adalah software tool dengan Skor Kepercayaan Nerq sebesar 64.0/100 (C), based on 5 dimensi data independen. 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: n/a. Data yang dapat dibaca mesin (JSON).
Apakah Moltbot Main Aman?
Rincian Skor Kepercayaan — Moltbot Main has a Nerq Trust Score of 64.0/100 (C). Measured across 5 independent trust signals.
Berapa skor kepercayaan Moltbot Main?
Moltbot Main memiliki Skor Kepercayaan Nerq 64.0/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Moltbot Main?
Sinyal terkuat Moltbot Main adalah kepatuhan pada 87/100. Tidak ada kerentanan yang diketahui terdeteksi.
Apa itu Moltbot Main dan siapa yang mengelolanya?
| Pembuat | james-3rdbrain |
| Kategori | Other |
| Sumber | https://github.com/james-3rdbrain/moltbot-main |
| Frameworks | anthropic |
| Protocols | rest |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di other
What Is Moltbot Main?
Moltbot Main is a software tool in the other category: An experimental personal AI assistant running on Cloudflare Workers.. Nerq Trust Score: 64/100 (C).
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 Main's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Moltbot Main performs in each:
- Keamanan (0/100): Moltbot Main's keamanan posture is poor. This score factors in known CVEs, dependency vulnerabilities, keamanan policy presence, and code signing practices.
- Pemeliharaan (1/100): Moltbot Main 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 dokumentasi, usage examples, and contribution guidelines.
- Compliance (87/100): Moltbot Main is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Berdasarkan GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.0/100 (C) 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 Moltbot Main?
Moltbot Main is commonly evaluated by:
- Developers and teams working with other tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Moltbot Main's measured signals (keamanan 0/100, pemeliharaan 1/100, dokumentasi 1/100, 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 Moltbot Main's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Moltbot Main's dependency tree. - Ulasan permissions — Understand what access Moltbot Main requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Moltbot Main 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=moltbot-main - Tinjau license — Confirm that Moltbot Main'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Moltbot Main
When evaluating whether Moltbot Main is safe, consider these category-specific risks:
Understand how Moltbot Main processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Moltbot Main's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Moltbot Main. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Moltbot Main 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 Moltbot Main'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 Main in violation of its license can expose your organization to legal liability.
Moltbot Main and the EU AI Act
Moltbot Main 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 Main Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Moltbot Main while minimizing risk:
Periodically review how Moltbot Main is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Moltbot Main and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Moltbot Main only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Moltbot Main's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Moltbot Main is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Moltbot Main
Nerq's signals are one input. In the following situations, evaluate Moltbot Main'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 Moltbot Main's measured trust score of 64.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Moltbot Main is suitable for any particular use.
How Moltbot Main Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among other tools, the average Trust Score is 62/100. Moltbot Main's score of 64.0/100 is above the category average of 62/100.
This positions Moltbot Main favorably among other tools. While it outperforms the average, there is still room for improvement in certain trust dimensi.
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 Main 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 Main'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 Main's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=moltbot-main&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 Main are strengthening or weakening over time.
Moltbot Main vs Alternatif
In the other category, Moltbot Main scores 64.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Moltbot Main vs cs-video-courses — Trust Score: 59.9/100
- Moltbot Main vs awesome-scalability — Trust Score: 59.4/100
- Moltbot Main vs superpowers — Trust Score: 62.4/100
Kesimpulan Utama
- Moltbot Main has a measured Nerq Trust Score of 64.0/100 (C) — a composite of independent signals, not a suitability judgment.
- Among other tools, Moltbot Main scores above the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — keamanan, pemeliharaan, dokumentasi, kepatuhan, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Pertanyaan yang Sering Diajukan
Apakah Moltbot Main Aman?
Berapa skor kepercayaan Moltbot Main?
Apa alternatif yang lebih aman dari Moltbot Main?
Seberapa sering skor keamanan Moltbot Main diperbarui?
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