Is Kagentinstruct Safe?

Kagentinstruct — Nerq Trust Score 54.0/100 (D grade). Based on analysis of 4 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-05.

Use Kagentinstruct with some caution. Kagentinstruct is a software tool with a Nerq Trust Score of 54.0/100 (D), based on 4 independent data dimensions. Below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Machine-readable data (JSON).

Is Kagentinstruct safe?

CAUTION — Kagentinstruct has a Nerq Trust Score of 54.0/100 (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.

Security Analysis → Kagentinstruct Privacy Report →

What is Kagentinstruct's trust score?

Kagentinstruct has a Nerq Trust Score of 54.0/100, earning a D grade. This score is based on 4 independently measured dimensions including security, maintenance, and community adoption.

Compliance
87
Maintenance
0
Documentation
0
Popularity
0

What are the key security findings for Kagentinstruct?

Kagentinstruct's strongest signal is compliance at 87/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Maintenance: 0/100 — low maintenance activity
Compliance: 87/100 — covers 45 of 52 jurisdictions
Documentation: 0/100 — limited documentation
Popularity: 0/100 — 49 stars on huggingface dataset full

What is Kagentinstruct and who maintains it?

Authorkwaikeg
CategoryAgent
Stars49
Sourcehttps://huggingface.co/datasets/kwaikeg/KAgentInstruct
Protocolshuggingface_hub

Regulatory Compliance

EU AI Act Risk ClassNot assessed
Compliance Score87/100
JurisdictionsAssessed across 52 jurisdictions

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What Is Kagentinstruct?

Kagentinstruct is a software tool in the agent category: N/A. It has 49 GitHub stars. Nerq Trust Score: 54/100 (D).

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 Kagentinstruct's Safety

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

The overall Trust Score of 54.0/100 (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 Kagentinstruct?

Kagentinstruct is designed for:

Risk guidance: Kagentinstruct 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 Kagentinstruct'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 Kagentinstruct's dependency tree.
  3. Review permissions — Understand what access Kagentinstruct requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Kagentinstruct 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=KAgentInstruct
  6. Review the license — Confirm that Kagentinstruct'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 Kagentinstruct

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

Data handling

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

Update frequency

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

Third-party integrations

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

Best Practices for Using Kagentinstruct Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Kagentinstruct?

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

For each scenario, evaluate whether Kagentinstruct's trust score of 54.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Kagentinstruct Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among agent tools, the average Trust Score is 62/100. Kagentinstruct's score of 54.0/100 is near the category average of 62/100.

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

Kagentinstruct vs Alternatives

In the agent category, Kagentinstruct scores 54.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Kagentinstruct Safe?
Use with some caution. KAgentInstruct with a Nerq Trust Score of 54.0/100 (D). Strongest signal: compliance (87/100). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100).
What is Kagentinstruct's trust score?
KAgentInstruct: 54.0/100 (D). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100). Compliance: 87/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=KAgentInstruct
What are safer alternatives to Kagentinstruct?
In the Agent category, higher-rated alternatives include pocketpaw/pocketpaw (77/100), epiral/agent-clip (49/100), krillclaw/KrillClaw (66/100). KAgentInstruct scores 54.0/100.
How often is Kagentinstruct's safety score updated?
Nerq continuously monitors Kagentinstruct and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 54.0/100 (D), last verified 2026-04-05. API: GET nerq.ai/v1/preflight?target=KAgentInstruct
Can I use Kagentinstruct in a regulated environment?
Kagentinstruct has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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