¿Es Stack Chan Seguro?

¿Es Stack Chan Seguro?

Desglose de Puntuación de Confianza — Stack Chan has a Nerq Trust Score of 68.2/100 (C). Measured across 5 independent trust signals.

What Is Stack Chan?

Stack Chan is a software tool in the infrastructure category: A JavaScript-driven M5Stack-embedded super-kawaii robot.. It has 1,220 GitHub stars. Nerq Trust Score: 68/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including seguridad vulnerabilities, mantenimiento activity, license cumplimiento, and adopción por la comunidad.

How Nerq Assesses Stack Chan's Safety

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

• Seguridad (0/100): Stack Chan's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
• Mantenimiento (0/100): Stack Chan 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 documentación, usage examples, and contribution guidelines.
• Compliance (87/100): Stack Chan is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
• Community (1/100): Community adoption is limited. Basado en GitHub stars, forks, download counts, and ecosystem integrations.

The overall Trust Score of 68.2/100 (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 Stack Chan?

Stack Chan is commonly evaluated by:

• Developers and teams working with infrastructure tools
• Organizations evaluating AI tools for their stack
• Researchers exploring AI capabilities in this domain

How to read the signals: Stack Chan's measured signals (seguridad 0/100, mantenimiento 0/100, documentación 0/100, community 1/100) 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 Stack Chan's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

1. Check the source code — Revisar el/la repository seguridad policy, open issues, and recent commits for signs of active mantenimiento.
2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Stack Chan's dependency tree.
3. Reseña permissions — Understand what access Stack Chan requires. Software tools should follow the principle of least privilege.
4. Test in isolation — Run Stack Chan 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=stack-chan
6. Revisar el/la license — Confirm that Stack Chan'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 seguridad concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Stack Chan

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

Stack Chan and the EU AI Act

Stack Chan 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 cumplimiento assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal cumplimiento.

Best Practices for Using Stack Chan Safely

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

Situations That Warrant Independent Review of Stack Chan

Nerq's signals are one input. In the following situations, evaluate Stack Chan'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 Stack Chan's measured trust score of 68.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Stack Chan is suitable for any particular use.

How Stack Chan Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Stack Chan's score of 68.2/100 is above the category average of 62/100.

This positions Stack Chan favorably among infrastructure tools. While it outperforms the average, there is still room for improvement in certain trust dimensiones.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderado 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 Stack Chan 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 mantenimiento patterns change, Stack Chan'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 seguridad and quality. Conversely, a downward trend may signal reduced mantenimiento, growing technical debt, or unresolved vulnerabilities. To track Stack Chan's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=stack-chan&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 — seguridad, mantenimiento, documentación, cumplimiento, and community — has evolved independently, providing granular visibility into which aspects of Stack Chan are strengthening or weakening over time.

Stack Chan vs Alternativas

In the infrastructure category, Stack Chan scores 68.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

• Stack Chan vs n8n — Trust Score: 69.1/100
• Stack Chan vs langflow — Trust Score: 77.0/100
• Stack Chan vs dify — Trust Score: 69.7/100

Puntos Clave

• Stack Chan has a measured Nerq Trust Score of 68.2/100 (C) — a composite of independent signals, not a suitability judgment.
• Among infrastructure tools, Stack Chan scores above the category average of 62/100 (a positional measurement relative to peers).
• The individual signals — seguridad, mantenimiento, documentación, cumplimiento, community — are shown above. Weigh them against your own requirements.
• Query the current measured values via Nerq's Preflight API.