Moltworker est-il sûr ?

Moltworker est-il sûr ?

Détail du score de confiance — Moltworker has a Nerq Trust Score of 76.9/100 (B). Measured across 5 independent trust signals.

What Is Moltworker?

Moltworker is a software tool in the coding category: Runs OpenClaw, a personal AI assistant, on Cloudflare Workers.. It has 8,535 GitHub stars. Nerq Trust Score: 77/100 (B).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.

How Nerq Assesses Moltworker's Safety

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

• Sécurité (1/100): Moltworker's sécurité posture is poor. This score factors in known CVEs, dependency vulnerabilities, sécurité policy presence, and code signing practices.
• Maintenance (1/100): Moltworker 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 (84/100): Moltworker is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
• Community (0/100): Community adoption is limited. Basé sur GitHub stars, forks, download counts, and ecosystem integrations.

The overall Trust Score of 76.9/100 (B) 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 Moltworker?

Moltworker 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: Moltworker's measured signals (sécurité 1/100, 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 Moltworker's Safety Yourself

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

1. Check the source code — Examiner le/la repository's sécurité 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 Moltworker's dependency tree.
3. Avis permissions — Understand what access Moltworker requires. Software tools should follow the principle of least privilege.
4. Test in isolation — Run Moltworker 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=moltworker
6. Examiner le/la license — Confirm that Moltworker'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 sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Moltworker

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

Moltworker and the EU AI Act

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

Best Practices for Using Moltworker Safely

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

Situations That Warrant Independent Review of Moltworker

Nerq's signals are one input. In the following situations, evaluate Moltworker'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 Moltworker's measured trust score of 76.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Moltworker is suitable for any particular use.

How Moltworker 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. Moltworker's score of 76.9/100 is significantly above the category average of 62/100.

This places Moltworker in the top tier of coding tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature sécurité practices, consistent release cadence, and broad adoption par la communauté.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks modéré 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 Moltworker 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, Moltworker'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 sécurité and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Moltworker's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=moltworker&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 — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Moltworker are strengthening or weakening over time.

Moltworker vs Alternatives

In the coding category, Moltworker scores 76.9/100. It ranks among the top tools in its category. For a detailed comparison, see:

• Moltworker vs AutoGPT — Trust Score: 65.3/100
• Moltworker vs ollama — Trust Score: 64.4/100
• Moltworker vs langchain — Trust Score: 77.0/100

Points Essentiels

• Moltworker has a measured Nerq Trust Score of 76.9/100 (B) — a composite of independent signals, not a suitability judgment.
• Among coding tools, Moltworker scores significantly above the category average of 62/100 (a positional measurement relative to peers).
• The individual signals — sécurité, maintenance, documentation, conformité, community — are shown above. Weigh them against your own requirements.
• Query the current measured values via Nerq's Preflight API.