Ist Slot Machine sicher?
Slot Machine — Nerq Trust Score 59.2/100 (Note D). Bewertung basierend auf 5 independent trust signals.
Slot Machine ist ein software tool mit einem Nerq-Vertrauenswert von 59.2/100 (D), basierend auf 5 unabhängigen Datendimensionen. Sicherheit: 0/100. Wartung: 1/100. Beliebtheit: 0/100. Daten von mehreren öffentlichen Quellen einschließlich Paketregistern, GitHub, NVD, OSV.dev und OpenSSF Scorecard. Zuletzt aktualisiert: n/a. Maschinenlesbare Daten (JSON).
Ist Slot Machine sicher?
Vertrauensbewertung im Detail — Slot Machine has a Nerq Trust Score of 59.2/100 (D). Measured across 5 independent trust signals.
Was ist die Vertrauensbewertung von Slot Machine?
Slot Machine hat eine Nerq-Vertrauensbewertung von 59.2/100 und erhält die Note D. Diese Bewertung basiert auf 5 unabhängig gemessenen Dimensionen.
Was sind die wichtigsten Sicherheitsergebnisse für Slot Machine?
Das stärkste Signal von Slot Machine ist konformität mit 82/100. Es wurden keine bekannten Schwachstellen erkannt.
Was ist Slot Machine und wer pflegt es?
| Autor | louije |
| Kategorie | Devops |
| Quelle | https://github.com/louije/slot-machine |
| Frameworks | anthropic |
| Protocols | rest |
Regulatorische Konformität
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Beliebte Alternativen in devops
What Is Slot Machine?
Slot Machine is a DevOps tool: Automates code updates and deploys with a chat agent for web apps.. Nerq Trust Score: 59/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including Sicherheit vulnerabilities, Wartung activity, license Konformität, and Community-Akzeptanz.
How Nerq Assesses Slot Machine's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Slot Machine performs in each:
- Sicherheit (0/100): Slot Machine's Sicherheit posture is poor. This score factors in known CVEs, dependency vulnerabilities, Sicherheit policy presence, and code signing practices.
- Wartung (1/100): Slot Machine 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 Dokumentation, usage examples, and contribution guidelines.
- Compliance (82/100): Slot Machine is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basierend auf GitHub-Sternen, forks, download counts, and ecosystem integrations.
The overall Trust Score of 59.2/100 (D) 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 Slot Machine?
Slot Machine is commonly evaluated by:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Slot Machine's measured signals (Sicherheit 0/100, Wartung 1/100, Dokumentation 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 Slot Machine's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Überprüfen Sie das/die repository's Sicherheit policy, open issues, and recent commits for signs of active Wartung.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Slot Machine's dependency tree. - Bewertung permissions — Understand what access Slot Machine requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Slot Machine 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=slot-machine - Überprüfen Sie das/die license — Confirm that Slot Machine'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 Sicherheit concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Slot Machine
When evaluating whether Slot Machine is safe, consider these category-specific risks:
Understand how Slot Machine processes, stores, and transmits your data. Überprüfen Sie das/die tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Slot Machine's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher Sicherheit risk.
Regularly check for updates to Slot Machine. Sicherheit patches and bug fixes are only effective if you're running the latest version.
If Slot Machine 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 Slot Machine's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Slot Machine in violation of its license can expose your organization to legal liability.
Slot Machine and the EU AI Act
Slot Machine 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 Konformität assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal Konformität.
Best Practices for Using Slot Machine Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Slot Machine while minimizing risk:
Periodically review how Slot Machine is used in your workflow. Check for unexpected behavior, permissions drift, and Konformität with your Sicherheit policies.
Ensure Slot Machine and all its dependencies are running the latest stable versions to benefit from Sicherheit patches.
Grant Slot Machine only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Slot Machine's Sicherheit advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Slot Machine is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Slot Machine
Nerq's signals are one input. In the following situations, evaluate Slot Machine'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 Slot Machine's measured trust score of 59.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Slot Machine is suitable for any particular use.
How Slot Machine Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Slot Machine's score of 59.2/100 is near the category average of 63/100.
This places Slot Machine in line with the typical DevOps 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 moderat 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 Slot Machine 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 Wartung patterns change, Slot Machine'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 Sicherheit and quality. Conversely, a downward trend may signal reduced Wartung, growing technical debt, or unresolved vulnerabilities. To track Slot Machine's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=slot-machine&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 — Sicherheit, Wartung, Dokumentation, Konformität, and community — has evolved independently, providing granular visibility into which aspects of Slot Machine are strengthening or weakening over time.
Slot Machine vs Alternativen
In the devops category, Slot Machine scores 59.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Slot Machine vs ansible — Trust Score: 74.9/100
- Slot Machine vs Flowise — Trust Score: 67.5/100
- Slot Machine vs learn-claude-code — Trust Score: 72.1/100
Wichtigste Punkte
- Slot Machine has a measured Nerq Trust Score of 59.2/100 (D) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Slot Machine scores near the category average of 63/100 (a positional measurement relative to peers).
- The individual signals — Sicherheit, Wartung, Dokumentation, Konformität, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Häufig gestellte Fragen
Ist Slot Machine sicher?
Was ist die Vertrauensbewertung von Slot Machine?
Was sind sicherere Alternativen zu Slot Machine?
Wie oft wird die Sicherheitsbewertung von Slot Machine aktualisiert?
Kann ich Slot Machine in einer regulierten Umgebung verwenden?
Siehe auch
Disclaimer: Nerq-Vertrauensbewertungen sind automatisierte Bewertungen basierend auf öffentlich verfügbaren Signalen. Sie sind keine Empfehlungen oder Garantien. Führen Sie immer Ihre eigene Sorgfaltsprüfung durch.