Je Agness bezpečný?

Agness — Nerq Trust Score 32.3/100 (Stupeň E). Na základě analýzy 5 dimenzí důvěryhodnosti je má významná bezpečnostní rizika. Naposledy aktualizováno: 2026-04-02.

Buďte opatrní s Agness. Agness is a software tool se skóre důvěryhodnosti Nerq 32.3/100 (E). Je pod doporučeným prahem 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-02. Strojově čitelná data (JSON).

Je Agness bezpečný?

NE — POUŽÍVEJTE S OPATRNOSTÍ — Agness má skóre důvěryhodnosti Nerq 32.3/100 (E). Má podprůměrné signály důvěryhodnosti s významnými mezerami v bezpečnosti, údržbě nebo dokumentaci. Nedoporučeno pro produkční použití bez důkladné ruční kontroly a dalších bezpečnostních opatření.

Bezpečnostní analýza → Zpráva o soukromí {name} →

Jaké je skóre důvěryhodnosti Agness?

Agness má Nerq skóre důvěryhodnosti 32.3/100 se stupněm E. Toto skóre je založeno na 5 nezávisle měřených dimenzích.

Celková důvěryhodnost
32.3

Jaká jsou klíčová bezpečnostní zjištění pro Agness?

Nejsilnější signál Agness je celková důvěryhodnost na 32.3/100. Nebyly zjištěny žádné známé zranitelnosti. Dosud nedosáhl ověřeného prahu Nerq 70+.

Souhrnné skóre důvěryhodnosti: 32.3/100 ze všech dostupných signálů

Co je Agness a kdo jej spravuje?

Autor0x9a64933499df22c2ae8ac5099ddf4e874f9ae666
Kategorieuncategorized
Zdrojhttps://8004scan.io/agents/agness
Protocolsx402

What Is Agness?

Agness is a software tool in the uncategorized category: AGNESS isn’t just another AI token. She is the system. Built as an advanced autonomous agent on Solana, AGNESS operates with precision, strategy, and calculated dominance. She observes the market, adapts to volatility, and executes with cold efficiency.. Nerq Trust Score: 32/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Agness's Safety

Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensions: Bezpečnost (known CVEs, dependency vulnerabilities, security policies), Údržba (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

Agness receives an overall Trust Score of 32.3/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=AGNESS

Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Agness's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use Agness?

Agness is designed for:

Risk guidance: We recommend caution with Agness. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Agness's Safety Yourself

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

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

Common Safety Concerns with Agness

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

Data handling

Understand how Agness processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Agness's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

If Agness 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 compliance

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

Best Practices for Using Agness Safely

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

Conduct regular audits

Periodically review how Agness is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Agness and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

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

Monitor for security advisories

Subscribe to Agness's security 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 Agness is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Agness?

Even promising tools aren't right for every situation. Consider avoiding Agness in these scenarios:

skóre důvěryhodnosti

For each scenario, evaluate whether Agness 32.3/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Agness 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. Agness's score of 32.3/100 is below the category average of 62/100.

This suggests that Agness trails behind many comparable uncategorized tools. Organizations with strict security 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 moderate 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 Agness 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 maintenance patterns change, Agness'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Agness's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=AGNESS&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Agness are strengthening or weakening over time.

Hlavní závěry

Často kladené otázky

Je Agness bezpečný k použití?
Buďte opatrní. AGNESS má skóre důvěryhodnosti Nerq 32.3/100 (E). Nejsilnější signál: celková důvěryhodnost (32.3/100). Skóre založeno na více dimenzích důvěryhodnosti.
Jaké je skóre důvěryhodnosti Agness?
AGNESS: 32.3/100 (E). Skóre založeno na: více dimenzích důvěryhodnosti. Skóre se aktualizují, jakmile jsou k dispozici nová data. API: GET nerq.ai/v1/preflight?target=AGNESS
Jaké jsou bezpečnější alternativy k Agness?
V kategorii uncategorized, more software tools are being analyzed — zkuste to znovu brzy. AGNESS získal skóre 32.3/100.
How often is Agness's safety score updated?
Nerq continuously monitors Agness and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 32.3/100 (E), last verified 2026-04-02. API: GET nerq.ai/v1/preflight?target=AGNESS
Mohu použít Agness v regulovaném prostředí?
Agness has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.

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