Er Slot Machine sikker?
Slot Machine — Nerq Trust Score 59.2/100 (Karakter D). Score baseret på 5 independent trust signals.
Slot Machine er en software tool med en Nerq Tillidsscore på 59.2/100 (D), based on 5 uafhængige datadimensioner. Sikkerhed: 0/100. Vedligeholdelse: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: n/a. Maskinlæsbare data (JSON).
Er Slot Machine sikker?
Tillidsscore detaljer — Slot Machine has a Nerq Trust Score of 59.2/100 (D). Measured across 5 independent trust signals.
Hvad er Slot Machines tillidsscore?
Slot Machine har en Nerq Trust Score på 59.2/100 med karakteren D. Denne score er baseret på 5 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Slot Machine?
Slot Machines stærkeste signal er overholdelse på 82/100. Ingen kendte sårbarheder er fundet.
Hvad er Slot Machine og hvem vedligeholder det?
| Udvikler | louije |
| Kategori | Devops |
| Kilde | https://github.com/louije/slot-machine |
| Frameworks | anthropic |
| Protocols | rest |
Lovgivningsmæssig overholdelse
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i 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 sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.
How Nerq Assesses Slot Machine's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Slot Machine performs in each:
- Sikkerhed (0/100): Slot Machine's sikkerhed posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhed policy presence, and code signing practices.
- Vedligeholdelse (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. Baseret på GitHub stars, 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 (sikkerhed 0/100, vedligeholdelse 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 — Gennemgå repository's sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Slot Machine's dependency tree. - Anmeldelse 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 - Gennemgå 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 sikkerhed 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. Gennemgå 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 sikkerhed risk.
Regularly check for updates to Slot Machine. Sikkerhed 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 overholdelse assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal overholdelse.
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 overholdelse with your sikkerhed policies.
Ensure Slot Machine and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.
Grant Slot Machine only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Slot Machine's sikkerhed 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 vedligeholdelse 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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, 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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Slot Machine are strengthening or weakening over time.
Slot Machine vs Alternativer
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
Vigtigste pointer
- 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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Ofte stillede spørgsmål
Er Slot Machine sikker?
Hvad er Slot Machines tillidsscore?
Hvad er sikrere alternativer til Slot Machine?
Hvor ofte opdateres Slot Machines sikkerhedsscore?
Kan jeg bruge Slot Machine i et reguleret miljø?
Se også
Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.