Je Mcp Skill Server bezpečný?
Mcp Skill Server — Nerq Trust Score 52.8/100 (Stupeň D). Skóre založeno na 1 independent trust signals.
Mcp Skill Server je software tool se skóre důvěryhodnosti Nerq 52.8/100 (D), based on 3 nezávislých datových dimenzích. Data pocházejí z více veřejných zdrojů včetně registrů balíčků, GitHubu, NVD, OSV.dev a OpenSSF Scorecard. Naposledy aktualizováno: n/a. Strojově čitelná data (JSON).
Je Mcp Skill Server bezpečný?
Rozpis skóre důvěryhodnosti — Mcp Skill Server has a Nerq Trust Score of 52.8/100 (D). Measured across 1 independent trust signal.
Jaké je skóre důvěryhodnosti Mcp Skill Server?
Mcp Skill Server má Nerq skóre důvěryhodnosti 52.8/100 se stupněm D. Toto skóre je založeno na 1 nezávisle měřených dimenzích.
Jaká jsou klíčová bezpečnostní zjištění pro Mcp Skill Server?
Nejsilnější signál Mcp Skill Server je shoda na 100/100. Nebyly zjištěny žádné známé zranitelnosti.
Co je Mcp Skill Server a kdo jej spravuje?
| Autor | Janine Cheng |
| Kategorie | Uncategorized |
| Zdroj | https://pypi.org/project/mcp-skill-server/ |
Regulační shoda
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
What Is Mcp Skill Server?
Mcp Skill Server is a software tool in the uncategorized category: Develop AI skills locally in your editor, deploy to production when ready. Nerq Trust Score: 53/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including bezpečnost vulnerabilities, údržba activity, license shoda, and přijetí komunitou.
How Nerq Assesses Mcp Skill Server's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimenzích. Here is how Mcp Skill Server performs in each:
- Compliance (100/100): Mcp Skill Server is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 52.8/100 (D) 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 Mcp Skill Server?
Mcp Skill Server is commonly evaluated by:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Mcp Skill Server's measured signals (the trust signals above) 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 Mcp Skill Server's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Zkontrolujte repository bezpečnost policy, open issues, and recent commits for signs of active údržba.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Mcp Skill Server's dependency tree. - Recenze permissions — Understand what access Mcp Skill Server requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mcp Skill Server 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=mcp-skill-server - Zkontrolujte license — Confirm that Mcp Skill Server'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 bezpečnost concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Mcp Skill Server
When evaluating whether Mcp Skill Server is safe, consider these category-specific risks:
Understand how Mcp Skill Server processes, stores, and transmits your data. Zkontrolujte tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mcp Skill Server's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher bezpečnost risk.
Regularly check for updates to Mcp Skill Server. Bezpečnost patches and bug fixes are only effective if you're running the latest version.
If Mcp Skill Server 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 Mcp Skill Server's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mcp Skill Server in violation of its license can expose your organization to legal liability.
Best Practices for Using Mcp Skill Server Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcp Skill Server while minimizing risk:
Periodically review how Mcp Skill Server is used in your workflow. Check for unexpected behavior, permissions drift, and shoda with your bezpečnost policies.
Ensure Mcp Skill Server and all its dependencies are running the latest stable versions to benefit from bezpečnost patches.
Grant Mcp Skill Server only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mcp Skill Server's bezpečnost advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mcp Skill Server is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Mcp Skill Server
Nerq's signals are one input. In the following situations, evaluate Mcp Skill Server'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 Mcp Skill Server's measured trust score of 52.8/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcp Skill Server is suitable for any particular use.
How Mcp Skill Server Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Mcp Skill Server's score of 52.8/100 is near the category average of 62/100.
This places Mcp Skill Server in line with the typical uncategorized 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 střední 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 Mcp Skill Server 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 údržba patterns change, Mcp Skill Server'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 bezpečnost and quality. Conversely, a downward trend may signal reduced údržba, growing technical debt, or unresolved vulnerabilities. To track Mcp Skill Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-skill-server&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 — bezpečnost, údržba, dokumentace, shoda, and community — has evolved independently, providing granular visibility into which aspects of Mcp Skill Server are strengthening or weakening over time.
Hlavní závěry
- Mcp Skill Server has a measured Nerq Trust Score of 52.8/100 (D) — a composite of independent signals, not a suitability judgment.
- Among uncategorized tools, Mcp Skill Server scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — bezpečnost, údržba, dokumentace, shoda, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Často kladené otázky
Je Mcp Skill Server bezpečný?
Jaké je skóre důvěryhodnosti Mcp Skill Server?
Jaké jsou bezpečnější alternativy k Mcp Skill Server?
Jak často se aktualizuje bezpečnostní skóre Mcp Skill Server?
Mohu používat Mcp Skill Server v regulovaném prostředí?
Viz také
Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.