Is Almond Dialog Agent Safe? — Trust Score: 53.0/100
According to Nerq's independent analysis of stanford-oval/almond-dialog-agent, this communication has a trust score of 53.0 out of 100, earning a D grade. With 56 stars on github, it is below the recommended threshold of 70. Security score: 0/100. Compliance: 87/100 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).
Is Almond Dialog Agent safe?
CAUTION — Almond Dialog Agent has a Nerq Trust Score of 53.0/100 (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.
Trust Assessment
Caution — stanford-oval/almond-dialog-agent has below-average trust signals. There may be concerns around maintenance frequency, security practices, or ecosystem adoption. Proceed with care and conduct additional due diligence.
Trust Signal Breakdown
Details
| Author | Unknown |
| Category | communication |
| Stars | 56 |
| Source | https://github.com/stanford-oval/almond-dialog-agent |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Almond Dialog Agent?
Almond Dialog Agent is a AI tool in the communication category. The Open Virtual Assistant
As of March 2026, Almond Dialog Agent 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 Almond Dialog Agent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Almond Dialog Agent performs in each:
- Security (0/100): Almond Dialog Agent's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (0/100): Almond Dialog Agent is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (87/100): Almond Dialog Agent is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 53.0/100 (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 Almond Dialog Agent?
Almond Dialog Agent is designed for:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Almond Dialog Agent 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 Almond Dialog Agent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Almond Dialog Agent's dependency tree. - Review permissions — Understand what access Almond Dialog Agent requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Almond Dialog Agent 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=stanford-oval/almond-dialog-agent - Review the license — Confirm that Almond Dialog Agent'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Almond Dialog Agent
When evaluating whether Almond Dialog Agent is safe, consider these category-specific risks:
Understand how Almond Dialog Agent processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Almond Dialog Agent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Almond Dialog Agent. Security patches and bug fixes are only effective if you're running the latest version.
If Almond Dialog Agent 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 Almond Dialog Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Almond Dialog Agent in violation of its license can expose your organization to legal liability.
Almond Dialog Agent and the EU AI Act
Almond Dialog Agent 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 Almond Dialog Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Almond Dialog Agent while minimizing risk:
Periodically review how Almond Dialog Agent is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Almond Dialog Agent and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Almond Dialog Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Almond Dialog Agent's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Almond Dialog Agent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Almond Dialog Agent?
Even promising tools aren't right for every situation. Consider avoiding Almond Dialog Agent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Almond Dialog Agent's trust score of 53.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Almond Dialog Agent Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among communication tools, the average Trust Score is 62/100. Almond Dialog Agent's score of 53.0/100 is near the category average of 62/100.
This places Almond Dialog Agent in line with the typical communication 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 Almond Dialog Agent 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, Almond Dialog Agent'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 Almond Dialog Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=stanford-oval/almond-dialog-agent&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 Almond Dialog Agent are strengthening or weakening over time.
Almond Dialog Agent vs Alternatives
In the communication category, Almond Dialog Agent scores 53.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Almond Dialog Agent vs Real-Time-Voice-Cloning — Trust Score: 71.3/100
- Almond Dialog Agent vs ChatGPT — Trust Score: 73.8/100
- Almond Dialog Agent vs chatgpt-on-wechat — Trust Score: 80.7/100
Key Takeaways
- Almond Dialog Agent has a Trust Score of 53.0/100 (D) and is not yet Nerq Verified.
- Almond Dialog Agent shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among communication tools, Almond Dialog Agent scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.