Is Lian Agent Safe?

Lian Agent — Nerq Trust Score 43.4/100 (E grade). Score based on 3 independent trust signals.

Lian Agent is a software tool with a Nerq Trust Score of 43.4/100 (E), based on 3 independent data dimensions. Maintenance: 0/100. 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 Lian Agent safe?

Trust Score Breakdown — Lian Agent has a Nerq Trust Score of 43.4/100 (E). Measured across 3 independent trust signals.

Security Analysis → Lian Agent Privacy Report →

What is Lian Agent's trust score?

Lian Agent has a Nerq Trust Score of 43.4/100, earning a E grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.

Maintenance
0
Documentation
0
Popularity
0

What are the key security findings for Lian Agent?

Lian Agent's strongest signal is maintenance at 0/100. No known vulnerabilities have been detected.

Maintenance: 0/100 — low maintenance activity
Documentation: 0/100 — limited documentation
Popularity: 0/100 — 3 stars on pulsemcp

What is Lian Agent and who maintains it?

Authorhttps://github.com/yueosa/lian-mcp-llm-agent
CategoryDevops
Stars3
Sourcehttps://github.com/yueosa/lian-mcp-llm-agent

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What Is Lian Agent?

Lian Agent is a DevOps tool: Lian Agent is a FastAPI-based server for file operations, mathematical calculations, and web scraping with PostgreSQL storage.. It has 3 GitHub stars. Nerq Trust Score: 43/100 (E).

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 Lian Agent's Safety

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

The overall Trust Score of 43.4/100 (E) 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 Lian Agent?

Lian Agent is commonly evaluated by:

How to read the signals: Lian Agent's measured signals (maintenance 0/100, documentation 0/100, 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 Lian Agent'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 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 Lian Agent's dependency tree.
  3. Review permissions — Understand what access Lian Agent requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Lian Agent 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=Lian Agent
  6. Review the license — Confirm that Lian 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.
  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 Lian Agent

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

Data handling

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

Update frequency

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

Third-party integrations

If Lian 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.

License and IP compliance

Verify that Lian 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 Lian Agent in violation of its license can expose your organization to legal liability.

Best Practices for Using Lian Agent Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

Situations That Warrant Independent Review of Lian Agent

Nerq's signals are one input. In the following situations, evaluate Lian Agent's measured signals against your own requirements before making a decision:

For each situation, compare Lian Agent's measured trust score of 43.4/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Lian Agent is suitable for any particular use.

How Lian Agent Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Lian Agent's score of 43.4/100 is below the category average of 63/100.

This suggests that Lian Agent trails behind many comparable DevOps tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

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 Lian 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, Lian 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 Lian Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Lian 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 Lian Agent are strengthening or weakening over time.

Lian Agent vs Alternatives

In the devops category, Lian Agent scores 43.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Lian Agent Safe?
Lian Agent with a Nerq Trust Score of 43.4/100 (E). Strongest signal: maintenance (0/100). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100).
What is Lian Agent's trust score?
Lian Agent: 43.4/100 (E). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=Lian Agent
What are safer alternatives to Lian Agent?
In the Devops category, higher-rated alternatives include ansible/ansible (75/100), FlowiseAI/Flowise (68/100), shareAI-lab/learn-claude-code (76/100). Lian Agent scores 43.4/100.
How often is Lian Agent's safety score updated?
Nerq recomputes Lian Agent's trust score as new data becomes available. Current: 43.4/100 (E). API: GET nerq.ai/v1/preflight?target=Lian Agent
Can I use Lian Agent in a regulated environment?
Lian Agent: 43.4/100 (E). Compliance signals are shown in the breakdown above. 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.

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