Is Skills By Amrit Safe?

Is Skills By Amrit safe?

Trust Score Breakdown — Skills By Amrit has a Nerq Trust Score of 60.2/100 (C). Measured across 5 independent trust signals.

What Is Skills By Amrit?

Skills By Amrit is a software tool in the coding category: Skills by Amrit is an agentic skills framework for AI coding assistants to mimic senior staff engineers.. It has 1 GitHub stars. Nerq Trust Score: 60/100 (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 Skills By Amrit's Safety

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

• Security (0/100): Skills By Amrit's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
• Maintenance (1/100): Skills By Amrit 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 (87/100): Skills By Amrit 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 60.2/100 (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 Skills By Amrit?

Skills By Amrit 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: Skills By Amrit'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 Skills By Amrit'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 Skills By Amrit's dependency tree.
3. Review permissions — Understand what access Skills By Amrit requires. Software tools should follow the principle of least privilege.
4. Test in isolation — Run Skills By Amrit 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=skills-by-amrit
6. Review the license — Confirm that Skills By Amrit'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 Skills By Amrit

When evaluating whether Skills By Amrit is safe, consider these category-specific risks:

Skills By Amrit and the EU AI Act

Skills By Amrit 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 Skills By Amrit Safely

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

Situations That Warrant Independent Review of Skills By Amrit

Nerq's signals are one input. In the following situations, evaluate Skills By Amrit'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 Skills By Amrit's measured trust score of 60.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Skills By Amrit is suitable for any particular use.

How Skills By Amrit 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. Skills By Amrit's score of 60.2/100 is near the category average of 62/100.

This places Skills By Amrit in line with the typical coding 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 Skills By Amrit 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, Skills By Amrit'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 Skills By Amrit's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=skills-by-amrit&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 Skills By Amrit are strengthening or weakening over time.

Skills By Amrit vs Alternatives

In the coding category, Skills By Amrit scores 60.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

• Skills By Amrit vs AutoGPT — Trust Score: 65.3/100
• Skills By Amrit vs ollama — Trust Score: 64.4/100
• Skills By Amrit vs langchain — Trust Score: 77.0/100

Key Takeaways

• Skills By Amrit has a measured Nerq Trust Score of 60.2/100 (C) — a composite of independent signals, not a suitability judgment.
• Among coding tools, Skills By Amrit scores near 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.