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.

Security Analysis → Agent Persona Privacy Report →

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.

Security
0
Compliance
100
Maintenance
1
Documentation
1
Popularity
0

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.

Security score: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — 11 stars on github

What is Agent Persona and who maintains it?

AuthorGoodFarming
CategoryCoding
Stars11
Sourcehttps://github.com/GoodFarming/agent-persona
Frameworksanthropic
Protocolsmcp · rest

Regulatory Compliance

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

Popular Alternatives in coding

Significant-Gravitas/AutoGPT
65.3/100 · C
github
ollama/ollama
64.4/100 · C
github
langchain-ai/langchain
77.0/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
64.4/100 · C
github
anomalyco/opencode
78.5/100 · B
github

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:

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:

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:

  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 Agent Persona's dependency tree.
  3. Review permissions — Understand what access Agent Persona requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agent Persona 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=agent-persona
  6. 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.
  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 Agent Persona

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

Data handling

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.

Dependency security

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 Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

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.

License and IP compliance

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:

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Agent Persona'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 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:

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:

Key Takeaways

Frequently Asked Questions

Is Agent Persona Safe?
agent-persona with a Nerq Trust Score of 67.3/100 (C). Strongest signal: compliance (100/100). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (1/100).
What is Agent Persona's trust score?
agent-persona: 67.3/100 (C). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (1/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=agent-persona
What are safer alternatives to Agent Persona?
In the Coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT (65/100), ollama/ollama (64/100), langchain-ai/langchain (77/100). agent-persona scores 67.3/100.
How often is Agent Persona's safety score updated?
Nerq recomputes Agent Persona's trust score as new data becomes available. Current: 67.3/100 (C). API: GET nerq.ai/v1/preflight?target=agent-persona
Can I use Agent Persona in a regulated environment?
Agent Persona: 67.3/100 (C). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

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.

We use cookies for analytics and caching. Privacy