Is Agentic Decision Cell veilig?
Agentic Decision Cell — Nerq Trust Score 62.0/100 (C-beoordeling). Score gebaseerd op 5 independent trust signals.
Agentic Decision Cell is een software tool met een Nerq Vertrouwensscore van 62.0/100 (C), based on 5 onafhankelijke gegevensdimensies. Beveiliging: 0/100. Onderhoud: 1/100. Populariteit: 0/100. Gegevens afkomstig van meerdere openbare bronnen waaronder pakketregisters, GitHub, NVD, OSV.dev en OpenSSF Scorecard. Laatst bijgewerkt: n/a. Machineleesbare gegevens (JSON).
Is Agentic Decision Cell veilig?
Vertrouwensscore details — Agentic Decision Cell has a Nerq Trust Score of 62.0/100 (C). Measured across 5 independent trust signals.
Wat is de vertrouwensscore van Agentic Decision Cell?
Agentic Decision Cell heeft een Nerq Trust Score van 62.0/100 met het cijfer C. Deze score is gebaseerd op 5 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.
Wat zijn de belangrijkste beveiligingsbevindingen voor Agentic Decision Cell?
Het sterkste signaal van Agentic Decision Cell is naleving met 100/100. Er zijn geen bekende kwetsbaarheden gedetecteerd.
Wat is Agentic Decision Cell en wie onderhoudt het?
| Ontwikkelaar | Hayo87 |
| Categorie | Coding |
| Sterren | 1 |
| Bron | https://github.com/Hayo87/Agentic-Decision-Cell |
Naleving van regelgeving
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdicties |
Populaire alternatieven in coding
What Is Agentic Decision Cell?
Agentic Decision Cell is a software tool in the coding category: A modular multi-agent framework for transparent, tool-augmented decision making.. It has 1 GitHub stars. Nerq Trust Score: 62/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.
How Nerq Assesses Agentic Decision Cell's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensies. Here is how Agentic Decision Cell performs in each:
- Beveiliging (0/100): Agentic Decision Cell's beveiliging posture is poor. This score factors in known CVEs, dependency vulnerabilities, beveiliging policy presence, and code signing practices.
- Onderhoud (1/100): Agentic Decision Cell is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentatie, usage examples, and contribution guidelines.
- Compliance (100/100): Agentic Decision Cell is broadly compliant. Assessed against regulations in 52 jurisdicties including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Gebaseerd op GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 62.0/100 (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 Agentic Decision Cell?
Agentic Decision Cell 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: Agentic Decision Cell's measured signals (beveiliging 0/100, onderhoud 1/100, documentatie 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 Agentic Decision Cell's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Bekijk de repository's beveiliging policy, open issues, and recent commits for signs of active onderhoud.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Agentic Decision Cell's dependency tree. - Beoordeling permissions — Understand what access Agentic Decision Cell requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agentic Decision Cell in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=Agentic-Decision-Cell - Bekijk de license — Confirm that Agentic Decision Cell'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.
- 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 beveiliging concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Agentic Decision Cell
When evaluating whether Agentic Decision Cell is safe, consider these category-specific risks:
Understand how Agentic Decision Cell processes, stores, and transmits your data. Bekijk de tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agentic Decision Cell's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher beveiliging risk.
Regularly check for updates to Agentic Decision Cell. Beveiliging patches and bug fixes are only effective if you're running the latest version.
If Agentic Decision Cell 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.
Verify that Agentic Decision Cell's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agentic Decision Cell in violation of its license can expose your organization to legal liability.
Agentic Decision Cell and the EU AI Act
Agentic Decision Cell 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 naleving assessment covers 52 jurisdicties worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal naleving.
Best Practices for Using Agentic Decision Cell Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agentic Decision Cell while minimizing risk:
Periodically review how Agentic Decision Cell is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.
Ensure Agentic Decision Cell and all its dependencies are running the latest stable versions to benefit from beveiliging patches.
Grant Agentic Decision Cell only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agentic Decision Cell's beveiliging advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agentic Decision Cell is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Agentic Decision Cell
Nerq's signals are one input. In the following situations, evaluate Agentic Decision Cell'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 Agentic Decision Cell's measured trust score of 62.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Agentic Decision Cell is suitable for any particular use.
How Agentic Decision Cell 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. Agentic Decision Cell's score of 62.0/100 is near the category average of 62/100.
This places Agentic Decision Cell 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 matig 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 Agentic Decision Cell 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 onderhoud patterns change, Agentic Decision Cell'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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, growing technical debt, or unresolved vulnerabilities. To track Agentic Decision Cell's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Agentic-Decision-Cell&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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Agentic Decision Cell are strengthening or weakening over time.
Agentic Decision Cell vs Alternatieven
In the coding category, Agentic Decision Cell scores 62.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agentic Decision Cell vs AutoGPT — Trust Score: 65.3/100
- Agentic Decision Cell vs ollama — Trust Score: 64.4/100
- Agentic Decision Cell vs langchain — Trust Score: 77.0/100
Belangrijkste conclusies
- Agentic Decision Cell has a measured Nerq Trust Score of 62.0/100 (C) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Agentic Decision Cell scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — beveiliging, onderhoud, documentatie, naleving, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Veelgestelde vragen
Is Agentic Decision Cell veilig?
Wat is de vertrouwensscore van Agentic Decision Cell?
Wat zijn veiligere alternatieven voor Agentic Decision Cell?
Hoe vaak wordt de beveiligingsscore van Agentic Decision Cell bijgewerkt?
Kan ik Agentic Decision Cell gebruiken in een gereguleerde omgeving?
Zie ook
Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.