Is Agent Persona Safe?
Agent Persona — Nerq Trust Score 67.3/100 (C grade). Score based on 5 independent trust signals.
Agent Persona is a software tool with a Nerq Trust Score of 67.3/100 (C), based on 5 independent data dimensions. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: n/a. Machine-readable data (JSON).
Is Agent Persona safe?
Trust Score Breakdown — Agent Persona has a Nerq Trust Score of 67.3/100 (C). Measured across 5 independent trust signals.
What is Agent Persona's trust score?
Agent Persona has a Nerq Trust Score of 67.3/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Agent Persona?
Agent Persona's strongest signal is compliance at 100/100. No known vulnerabilities have been detected.
What is Agent Persona and who maintains it?
| Author | GoodFarming |
| Category | Coding |
| Stars | 11 |
| Source | https://github.com/GoodFarming/agent-persona |
| Frameworks | anthropic |
| Protocols | mcp · rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in coding
What Is Agent Persona?
Agent Persona is a software tool in the coding category: A system for managing and switching AI agent personas.. It has 11 GitHub stars. Nerq Trust Score: 67/100 (C).
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 Agent Persona's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Agent Persona performs in each:
- Security (0/100): Agent Persona's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Agent Persona is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Agent Persona 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 67.3/100 (C) 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 Agent Persona?
Agent Persona is commonly evaluated by:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Agent Persona's measured signals (security 0/100, maintenance 1/100, documentation 1/100, community 0/100) 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 Agent Persona's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software 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 Agent Persona's dependency tree. - Review permissions — Understand what access Agent Persona requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agent Persona 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=agent-persona - Review the license — Confirm that Agent Persona'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 Agent Persona
When evaluating whether Agent Persona is safe, consider these category-specific risks:
Understand how Agent Persona processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agent Persona's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Agent Persona. Security patches and bug fixes are only effective if you're running the latest version.
If Agent Persona 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 Agent Persona's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agent Persona in violation of its license can expose your organization to legal liability.
Agent Persona and the EU AI Act
Agent Persona 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 Agent Persona Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agent Persona while minimizing risk:
Periodically review how Agent Persona is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Agent Persona and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Agent Persona only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agent Persona's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agent Persona is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Agent Persona
Nerq's signals are one input. In the following situations, evaluate Agent Persona'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 Agent Persona's measured trust score of 67.3/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Agent Persona is suitable for any particular use.
How Agent Persona Compares 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. Agent Persona's score of 67.3/100 is above the category average of 62/100.
This positions Agent Persona favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
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 Agent Persona 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, Agent Persona'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 Agent Persona's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent-persona&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 Agent Persona are strengthening or weakening over time.
Agent Persona vs Alternatives
In the coding category, Agent Persona scores 67.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agent Persona vs AutoGPT — Trust Score: 65.3/100
- Agent Persona vs ollama — Trust Score: 64.4/100
- Agent Persona vs langchain — Trust Score: 77.0/100
Key Takeaways
- Agent Persona has a measured Nerq Trust Score of 67.3/100 (C) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Agent Persona scores above the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — security, maintenance, documentation, compliance, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.