Ist Agentic Coding Files sicher?

Agentic Coding Files — Nerq Trust Score 62.2/100 (Note C). Basierend auf der Analyse von 5 Vertrauensdimensionen wird es als generell sicher, aber mit einigen Bedenken eingestuft. Zuletzt aktualisiert: 2026-04-02.

Verwende Agentic Coding Files mit Vorsicht. Agentic Coding Files is a software tool mit einer Nerq-Vertrauensbewertung von 62.2/100 (C), based on 5 unabhängige Datendimensionen. It is below the recommended threshold of 70. Sicherheit: 0/100. Wartung: 1/100. Popularity: 0/100. Daten stammen von multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Zuletzt aktualisiert: 2026-04-02. Maschinenlesbare Daten (JSON).

Ist Agentic Coding Files sicher?

CAUTION — Agentic Coding Files hat eine Nerq-Vertrauensbewertung von 62.2/100 (C). Es hat moderat Vertrauenssignale, zeigt aber einige Problembereiche that warrant attention. Suitable for development use — review Sicherheit and Wartung signals before production deployment.

Sicherheitsanalyse → {name} Datenschutzbericht →

Was ist die Vertrauensbewertung von Agentic Coding Files?

Agentic Coding Files hat eine Nerq-Vertrauensbewertung von 62.2/100 und erhält die Note C. Diese Bewertung basiert auf 5 unabhängig gemessenen Dimensionen.

Sicherheit
0
Konformität
100
Wartung
1
Dokumentation
0
Beliebtheit
0

Was sind die wichtigsten Sicherheitsergebnisse für Agentic Coding Files?

Das stärkste Signal von Agentic Coding Files ist konformität mit 100/100. Es wurden keine bekannten Schwachstellen erkannt. Hat die Nerq-Vertrauensschwelle von 70+ noch nicht erreicht.

Sicherheit score: 0/100 (weak)
Wartung: 1/100 — geringe Wartungsaktivität
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 0/100 — eingeschränkte Dokumentation
Popularity: 0/100 — Community-Akzeptanz

Was ist Agentic Coding Files und wer pflegt es?

Autoratacan
Kategoriecoding
Quellehttps://github.com/atacan/agentic-coding-files
Frameworksanthropic

Regulatorische Konformität

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
GerichtsbarkeitsAssessed across 52 jurisdictions

Beliebte Alternativen in coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
87.9/100 · A
github

What Is Agentic Coding Files?

Agentic Coding Files is a software tool in the coding category: Prompts, Skills and Scripts for agentic coding. Nerq Trust Score: 62/100 (C).

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 Agentic Coding Files's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Agentic Coding Files performs in each:

The overall Trust Score of 62.2/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Agentic Coding Files?

Agentic Coding Files is designed for:

Risk guidance: Agentic Coding Files is suitable for development and testing environments. Before production deployment, conduct a thorough review of its Sicherheit posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Agentic Coding Files's Safety Yourself

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

  1. Check the source code — Überprüfen Sie das/die repository's Sicherheit policy, open issues, and recent commits for signs of active Wartung.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Agentic Coding Files's dependency tree.
  3. Bewertung permissions — Understand what access Agentic Coding Files requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agentic Coding Files 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=agentic-coding-files
  6. Überprüfen Sie das/die license — Confirm that Agentic Coding Files'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 Sicherheit concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Agentic Coding Files

When evaluating whether Agentic Coding Files is safe, consider these category-specific risks:

Data handling

Understand how Agentic Coding Files processes, stores, and transmits your data. Überprüfen Sie das/die tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency Sicherheit

Check Agentic Coding Files's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher Sicherheit risk.

Update frequency

Regularly check for updates to Agentic Coding Files. Sicherheit patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Agentic Coding Files 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 Konformität

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

Agentic Coding Files and the EU AI Act

Agentic Coding Files 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 Konformität assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal Konformität.

Best Practices for Using Agentic Coding Files Safely

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

Conduct regular audits

Periodically review how Agentic Coding Files is used in your workflow. Check for unexpected behavior, permissions drift, and Konformität with your Sicherheit policies.

Keep dependencies updated

Ensure Agentic Coding Files and all its dependencies are running the latest stable versions to benefit from Sicherheit patches.

Follow least privilege

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

Monitor for Sicherheit advisories

Subscribe to Agentic Coding Files's Sicherheit 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 Agentic Coding Files is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Agentic Coding Files?

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

Die Vertrauensbewertung von

For each scenario, evaluate whether Agentic Coding Files von 62.2/100 meets your organization's risk tolerance. We recommend running a manual Sicherheit assessment alongside the automated Nerq score.

How Agentic Coding Files Vergleichens to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Agentic Coding Files's score of 62.2/100 is above the category average of 62/100.

This positions Agentic Coding Files favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust Dimensionen.

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 Agentic Coding Files 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, Agentic Coding Files'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 Agentic Coding Files's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentic-coding-files&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 Agentic Coding Files are strengthening or weakening over time.

Agentic Coding Files vs Alternativen

In the coding category, Agentic Coding Files erzielt 62.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Wichtigste Punkte

Häufig gestellte Fragen

Ist Agentic Coding Files sicher in der Verwendung?
Mit Vorsicht verwenden. agentic-coding-files hat eine Nerq-Vertrauensbewertung von 62.2/100 (C). Stärkstes Signal: konformität (100/100). Bewertung basierend auf Sicherheit (0/100), Wartung (1/100), Beliebtheit (0/100), Dokumentation (0/100).
Was ist Agentic Coding Files's trust score?
agentic-coding-files: 62.2/100 (C). Bewertung basierend auf: Sicherheit (0/100), Wartung (1/100), Beliebtheit (0/100), Dokumentation (0/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=agentic-coding-files
Was sind sicherere Alternativen zu Agentic Coding Files?
In the coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). agentic-coding-files erzielt 62.2/100.
How often is Agentic Coding Files's safety score updated?
Nerq continuously monitors Agentic Coding Files and updates its trust score as new data becomes available. Daten stammen von multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 62.2/100 (C), last verifiziert 2026-04-02. API: GET nerq.ai/v1/preflight?target=agentic-coding-files
Can I use Agentic Coding Files in a regulated environment?
Agentic Coding Files 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: Nerq-Vertrauensbewertungen sind automatisierte Bewertungen basierend auf öffentlich verfügbaren Signalen. Sie sind keine Empfehlungen oder Garantien. Führen Sie immer Ihre eigene Sorgfaltsprüfung durch.

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