Is Abap Ai Safe?
Abap Ai — Nerq Trust Score 10.0/100 (F grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Abap Ai is a npm package with a Nerq Trust Score of 10.0/100 (F), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 10/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Abap Ai safe?
Trust Score Breakdown — Abap Ai has a Nerq Trust Score of 10.0/100 (F). Measured across 2 independent trust signals (as of 2026-03-21).
What is Abap Ai's trust score?
Abap Ai has a Nerq Trust Score of 10.0/100, earning a F grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Abap Ai?
Abap Ai's strongest signal is security at 10/100. No known vulnerabilities have been detected.
What is Abap Ai and who maintains it?
| Author | denisvandrade |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Abap Ai
What is Abap Ai?
Abap Ai is a Node.js package — LKPABAP.ai — AI-powered ABAP development tools for SAP S/4HANA via ADT REST API.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=@linkup-ai/abap-ai
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Abap Ai has a Nerq Trust Score of 10/100 (F). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Abap Ai has a Trust Score of 10/100 (F).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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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.