Czy Auto Mihomo jest bezpieczny?
Auto Mihomo — Nerq Trust Score 61.5/100 (Ocena C). Wynik oparty na 5 independent trust signals.
Auto Mihomo to software tool z wynikiem zaufania Nerq 61.5/100 (C), based on 5 niezależnych wymiarów danych. Bezpieczeństwo: 0/100. Konserwacja: 1/100. Popularność: 0/100. Dane pochodzą z wiele źródeł publicznych, w tym rejestry pakietów, GitHub, NVD, OSV.dev i OpenSSF Scorecard. Ostatnia aktualizacja: n/a. Dane odczytywalne maszynowo (JSON).
Czy Auto Mihomo jest bezpieczny?
Szczegóły wyniku zaufania — Auto Mihomo has a Nerq Trust Score of 61.5/100 (C). Measured across 5 independent trust signals.
Jaki jest wynik zaufania Auto Mihomo?
Auto Mihomo ma Nerq Trust Score 61.5/100 z oceną C. Ten wynik opiera się na 5 niezależnie mierzonych wymiarach, w tym bezpieczeństwie, konserwacji i adopcji społeczności.
Jakie są kluczowe ustalenia bezpieczeństwa dla Auto Mihomo?
Najsilniejszy sygnał Auto Mihomo to zgodność na poziomie 100/100. Nie wykryto znanych luk w zabezpieczeniach.
Czym jest Auto Mihomo i kto go utrzymuje?
| Autor | rushwing |
| Kategoria | Devops |
| Źródło | https://github.com/rushwing/auto-mihomo |
| Frameworks | autogen · mcp |
| Protocols | mcp · rest |
Zgodność z przepisami
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popularne alternatywy w devops
What Is Auto Mihomo?
Auto Mihomo is a DevOps tool: Automates Mihomo (Clash Meta) subscription management and node selection for Raspberry Pi 5.. Nerq Trust Score: 62/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including bezpieczeństwo vulnerabilities, konserwacja activity, license zgodność, and przyjęcie przez społeczność.
How Nerq Assesses Auto Mihomo's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five wymiarów. Here is how Auto Mihomo performs in each:
- Bezpieczeństwo (0/100): Auto Mihomo's bezpieczeństwo posture is poor. This score factors in known CVEs, dependency vulnerabilities, bezpieczeństwo policy presence, and code signing practices.
- Konserwacja (1/100): Auto Mihomo 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 dokumentacja, usage examples, and contribution guidelines.
- Compliance (100/100): Auto Mihomo is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Na podstawie GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 61.5/100 (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 Auto Mihomo?
Auto Mihomo is commonly evaluated by:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Auto Mihomo's measured signals (bezpieczeństwo 0/100, konserwacja 1/100, dokumentacja 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 Auto Mihomo's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Sprawdź repository's bezpieczeństwo policy, open issues, and recent commits for signs of active konserwacja.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Auto Mihomo's dependency tree. - Opinia permissions — Understand what access Auto Mihomo requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Auto Mihomo 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=auto-mihomo - Sprawdź license — Confirm that Auto Mihomo'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 bezpieczeństwo concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Auto Mihomo
When evaluating whether Auto Mihomo is safe, consider these category-specific risks:
Understand how Auto Mihomo processes, stores, and transmits your data. Sprawdź tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Auto Mihomo's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher bezpieczeństwo risk.
Regularly check for updates to Auto Mihomo. Bezpieczeństwo patches and bug fixes are only effective if you're running the latest version.
If Auto Mihomo 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 Auto Mihomo's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Auto Mihomo in violation of its license can expose your organization to legal liability.
Auto Mihomo and the EU AI Act
Auto Mihomo 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 zgodność assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal zgodność.
Best Practices for Using Auto Mihomo Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Auto Mihomo while minimizing risk:
Periodically review how Auto Mihomo is used in your workflow. Check for unexpected behavior, permissions drift, and zgodność with your bezpieczeństwo policies.
Ensure Auto Mihomo and all its dependencies are running the latest stable versions to benefit from bezpieczeństwo patches.
Grant Auto Mihomo only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Auto Mihomo's bezpieczeństwo advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Auto Mihomo is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Auto Mihomo
Nerq's signals are one input. In the following situations, evaluate Auto Mihomo'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 Auto Mihomo's measured trust score of 61.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Auto Mihomo is suitable for any particular use.
How Auto Mihomo Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Auto Mihomo's score of 61.5/100 is near the category average of 63/100.
This places Auto Mihomo in line with the typical DevOps 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 umiarkowany 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 Auto Mihomo 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 konserwacja patterns change, Auto Mihomo'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 bezpieczeństwo and quality. Conversely, a downward trend may signal reduced konserwacja, growing technical debt, or unresolved vulnerabilities. To track Auto Mihomo's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=auto-mihomo&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 — bezpieczeństwo, konserwacja, dokumentacja, zgodność, and community — has evolved independently, providing granular visibility into which aspects of Auto Mihomo are strengthening or weakening over time.
Auto Mihomo vs Alternatywy
In the devops category, Auto Mihomo scores 61.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Auto Mihomo vs ansible — Trust Score: 74.9/100
- Auto Mihomo vs Flowise — Trust Score: 67.5/100
- Auto Mihomo vs learn-claude-code — Trust Score: 72.1/100
Kluczowe wnioski
- Auto Mihomo has a measured Nerq Trust Score of 61.5/100 (C) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Auto Mihomo scores near the category average of 63/100 (a positional measurement relative to peers).
- The individual signals — bezpieczeństwo, konserwacja, dokumentacja, zgodność, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Często zadawane pytania
Czy Auto Mihomo jest bezpieczny?
Jaki jest wynik zaufania Auto Mihomo?
Jakie są bezpieczniejsze alternatywy dla Auto Mihomo?
Jak często aktualizowana jest ocena bezpieczeństwa Auto Mihomo?
Czy mogę używać Auto Mihomo w środowisku regulowanym?
Zobacz także
Disclaimer: Wyniki zaufania Nerq to zautomatyzowane oceny oparte na publicznie dostępnych sygnałach. Nie stanowią rekomendacji ani gwarancji. Zawsze przeprowadzaj własną weryfikację.