Ist Maton sicher?
Maton — Nerq Trust Score 44.7/100 (Note E). Bewertung basierend auf 3 independent trust signals.
Maton ist ein software tool mit einem Nerq-Vertrauenswert von 44.7/100 (E), basierend auf 3 unabhängigen Datendimensionen. Wartung: 0/100. Beliebtheit: 0/100. Daten von mehreren öffentlichen Quellen einschließlich Paketregistern, GitHub, NVD, OSV.dev und OpenSSF Scorecard. Zuletzt aktualisiert: n/a. Maschinenlesbare Daten (JSON).
Ist Maton sicher?
Vertrauensbewertung im Detail — Maton has a Nerq Trust Score of 44.7/100 (E). Measured across 3 independent trust signals.
Was ist die Vertrauensbewertung von Maton?
Maton hat eine Nerq-Vertrauensbewertung von 44.7/100 und erhält die Note E. Diese Bewertung basiert auf 3 unabhängig gemessenen Dimensionen.
Was sind die wichtigsten Sicherheitsergebnisse für Maton?
Das stärkste Signal von Maton ist wartung mit 0/100. Es wurden keine bekannten Schwachstellen erkannt.
Was ist Maton und wer pflegt es?
| Autor | https://github.com/maton-ai/agent-toolkit/tree/HEAD/modelcontextprotocol |
| Kategorie | Other |
| Sterne | 36 |
| Quelle | https://github.com/maton-ai/agent-toolkit/tree/HEAD/modelcontextprotocol |
Beliebte Alternativen in other
What Is Maton?
Maton is a software tool in the other category: Integrate with Maton APIs through function calling.. It has 36 GitHub-Sternen. Nerq Trust Score: 45/100 (E).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including Sicherheit vulnerabilities, Wartung activity, license Konformität, and Community-Akzeptanz.
How Nerq Assesses Maton's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Maton performs in each:
- Wartung (0/100): Maton 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 Dokumentation, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Basierend auf GitHub-Sternen, forks, download counts, and ecosystem integrations.
The overall Trust Score of 44.7/100 (E) 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 Maton?
Maton 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: Maton's measured signals (Wartung 0/100, Dokumentation 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 Maton's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Überprüfen Sie das/die repository Sicherheit policy, open issues, and recent commits for signs of active Wartung.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Maton's dependency tree. - Bewertung permissions — Understand what access Maton requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Maton 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=Maton - Überprüfen Sie das/die license — Confirm that Maton'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 Sicherheit concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Maton
When evaluating whether Maton is safe, consider these category-specific risks:
Understand how Maton processes, stores, and transmits your data. Überprüfen Sie das/die tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Maton's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher Sicherheit risk.
Regularly check for updates to Maton. Sicherheit patches and bug fixes are only effective if you're running the latest version.
If Maton 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 Maton's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Maton in violation of its license can expose your organization to legal liability.
Best Practices for Using Maton Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Maton while minimizing risk:
Periodically review how Maton is used in your workflow. Check for unexpected behavior, permissions drift, and Konformität with your Sicherheit policies.
Ensure Maton and all its dependencies are running the latest stable versions to benefit from Sicherheit patches.
Grant Maton only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Maton's Sicherheit advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Maton is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Maton
Nerq's signals are one input. In the following situations, evaluate Maton'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 Maton's measured trust score of 44.7/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Maton is suitable for any particular use.
How Maton 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. Maton's score of 44.7/100 is below the category average of 62/100.
This suggests that Maton trails behind many comparable other tools. Organizations with strict Sicherheit 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 moderat 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 Maton 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 Wartung patterns change, Maton'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 Sicherheit and quality. Conversely, a downward trend may signal reduced Wartung, growing technical debt, or unresolved vulnerabilities. To track Maton's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Maton&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 — Sicherheit, Wartung, Dokumentation, Konformität, and community — has evolved independently, providing granular visibility into which aspects of Maton are strengthening or weakening over time.
Maton vs Alternativen
In the other category, Maton scores 44.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Maton vs cs-video-courses — Trust Score: 59.9/100
- Maton vs awesome-scalability — Trust Score: 59.4/100
- Maton vs superpowers — Trust Score: 62.4/100
Wichtigste Punkte
- Maton has a measured Nerq Trust Score of 44.7/100 (E) — a composite of independent signals, not a suitability judgment.
- Among other tools, Maton scores below the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — Sicherheit, Wartung, Dokumentation, Konformität, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Häufig gestellte Fragen
Ist Maton sicher?
Was ist die Vertrauensbewertung von Maton?
Was sind sicherere Alternativen zu Maton?
Wie oft wird die Sicherheitsbewertung von Maton aktualisiert?
Kann ich Maton in einer regulierten Umgebung verwenden?
Siehe auch
Disclaimer: Nerq-Vertrauensbewertungen sind automatisierte Bewertungen basierend auf öffentlich verfügbaren Signalen. Sie sind keine Empfehlungen oder Garantien. Führen Sie immer Ihre eigene Sorgfaltsprüfung durch.