Is Decisiontreebot Schnapsen Safe? — Trust Score: 59.6/100

According to Nerq's independent analysis of DecisionTreeBot-Schnapsen, this coding has a trust score of 59.6 out of 100, earning a D grade. With 0 stars on github, it is below the recommended threshold of 70. Security score: 0/100. Compliance: 100/100 across 52 jurisdictions. EU AI Act classification: minimal. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-18. Machine-readable data (JSON).

DecisionTreeBot-Schnapsen has a Nerq Trust Score of 59.6/100 (D). Not yet Nerq Verified (requires 70+). Its strongest signal is compliance (100/100). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Last verified: 2026-03-18.

Is Decisiontreebot Schnapsen safe?

CAUTION — Decisiontreebot Schnapsen has a Nerq Trust Score of 59.6/100 (D). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

59.6
out of 100
D coding github

Trust Assessment

Moderate — DecisionTreeBot-Schnapsen shows mixed trust signals. Some areas are strong while others could be improved. We recommend reviewing the full KYA (Know Your Agent) report before integrating it into production workflows.

Trust Signal Breakdown

Security
0
Code quality, vulnerability exposure, and security practices.
Compliance
100
Regulatory alignment. EU AI Act risk class: minimal.
Maintenance
0
Update frequency, issue responsiveness, active development.
Documentation
0
README quality, API docs, usage examples.
Popularity
0
Community adoption. 0 stars on github.

Details

Authornia05-tch
Categorycoding
Stars0
Sourcehttps://github.com/nia05-tch/DecisionTreeBot-Schnapsen

Regulatory Compliance

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

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Community Reviews

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What Is Decisiontreebot Schnapsen?

Decisiontreebot Schnapsen is a AI tool in the coding category. DecisionTreeBot-Schnapsen is an intelligent agent for the card game Schnapsen.

As of March 2026, Decisiontreebot Schnapsen is available on github, making it an emerging tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.

How Nerq Assesses Decisiontreebot Schnapsen's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Decisiontreebot Schnapsen performs in each:

The overall Trust Score of 59.6/100 (D) 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 Decisiontreebot Schnapsen?

Decisiontreebot Schnapsen is designed for:

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

How to Verify Decisiontreebot Schnapsen's Safety Yourself

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

  1. Check the source code — Review the repository's 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 Decisiontreebot Schnapsen's dependency tree.
  3. Review permissions — Understand what access Decisiontreebot Schnapsen requires. AI tools should follow the principle of least privilege.
  4. Test in isolation — Run Decisiontreebot Schnapsen 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=DecisionTreeBot-Schnapsen
  6. Review the license — Confirm that Decisiontreebot Schnapsen'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 Decisiontreebot Schnapsen

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

Data handling

Understand how Decisiontreebot Schnapsen 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 Decisiontreebot Schnapsen's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

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

Decisiontreebot Schnapsen and the EU AI Act

Decisiontreebot Schnapsen 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

Best Practices for Using Decisiontreebot Schnapsen Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Decisiontreebot Schnapsen'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 Decisiontreebot Schnapsen is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Decisiontreebot Schnapsen?

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

For each scenario, evaluate whether Decisiontreebot Schnapsen's trust score of 59.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Decisiontreebot Schnapsen Compares to Industry Standards

Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among coding tools, the average Trust Score is 62/100. Decisiontreebot Schnapsen's score of 59.6/100 is near the category average of 62/100.

This places Decisiontreebot Schnapsen in line with the typical coding 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 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 Decisiontreebot Schnapsen 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, Decisiontreebot Schnapsen'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 Decisiontreebot Schnapsen's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=DecisionTreeBot-Schnapsen&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 Decisiontreebot Schnapsen are strengthening or weakening over time.

Decisiontreebot Schnapsen vs Alternatives

In the coding category, Decisiontreebot Schnapsen scores 59.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is DecisionTreeBot-Schnapsen safe to use?
DecisionTreeBot-Schnapsen has a Nerq Trust Score of 59.6/100, earning a D grade. Moderate — DecisionTreeBot-Schnapsen shows mixed trust signals. Some areas are strong while others could be improved. We recommend reviewing the full KYA (Know Your Agent) report before integrating it into production workflows. Its strongest signal is compliance (100/100). It has not yet reached the Nerq Verified threshold of 70. Always review the full KYA report before using any AI agent in production.
What is DecisionTreeBot-Schnapsen's trust score?
Nerq assigns DecisionTreeBot-Schnapsen a trust score of 59.6 out of 100, with a grade of D. This score is computed from multiple dimensions including security, compliance, maintenance activity, documentation quality, and community adoption (0 stars). Compliance score: 100/100. EU AI Act risk class: minimal. Scores are updated daily based on the latest publicly available signals.
Are there safer alternatives to DecisionTreeBot-Schnapsen?
In the coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT, ollama/ollama, langchain-ai/langchain (scores: 75, 74, 88). DecisionTreeBot-Schnapsen scores 59.6/100. When choosing between agents, consider your specific requirements for security (N/A), maintenance activity (0), and documentation (0). Use Nerq's comparison tools or the KYA endpoint for detailed side-by-side analysis.
How often is Decisiontreebot Schnapsen's safety score updated?
Nerq continuously monitors Decisiontreebot Schnapsen and updates its trust score as new data becomes available. The system ingests signals from 13+ independent sources including GitHub, NVD (National Vulnerability Database), OSV.dev, OpenSSF Scorecard, and major package registries (npm, PyPI). When a new CVE is disclosed, a dependency is updated, or commit activity changes, the score adjusts automatically. For the most current score, query the Nerq API: GET nerq.ai/v1/preflight?target=DecisionTreeBot-Schnapsen. The current assessment (59.6/100, D) was last verified on 2026-03-18.
Can I use Decisiontreebot Schnapsen in a regulated environment?
Decisiontreebot Schnapsen has not yet reached the Nerq Verified threshold of 70, which means additional due diligence is recommended for regulated environments. Nerq assesses compliance across 52 jurisdictions. Decisiontreebot Schnapsen has a compliance score of 100/100. Under the EU AI Act, Decisiontreebot Schnapsen is classified as minimal risk. For organizations in regulated industries (healthcare, finance, government), we recommend combining the Nerq Trust Score with your internal security review process, vendor risk assessment, and legal compliance check before deployment.

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