Ist Skill Compose sicher?
Skill Compose — Nerq Trust Score 62.9/100 (Note C). Bewertung basierend auf 5 independent trust signals.
Skill Compose ist ein software tool mit einem Nerq-Vertrauenswert von 62.9/100 (C), 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 Skill Compose sicher?
Vertrauensbewertung im Detail — Skill Compose has a Nerq Trust Score of 62.9/100 (C). Measured across 5 independent trust signals.
Was ist die Vertrauensbewertung von Skill Compose?
Skill Compose hat eine Nerq-Vertrauensbewertung von 62.9/100 und erhält die Note C. Diese Bewertung basiert auf 5 unabhängig gemessenen Dimensionen.
Was sind die wichtigsten Sicherheitsergebnisse für Skill Compose?
Das stärkste Signal von Skill Compose ist konformität mit 100/100. Es wurden keine bekannten Schwachstellen erkannt.
Was ist Skill Compose und wer pflegt es?
| Autor | MooseGoose0701 |
| Kategorie | Coding |
| Sterne | 44 |
| Quelle | https://github.com/MooseGoose0701/skill-compose |
| Frameworks | anthropic |
| Protocols | mcp · rest |
Regulatorische Konformität
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Beliebte Alternativen in coding
What Is Skill Compose?
Skill Compose is a software tool in the coding category: Skill Compose is an open-source agent builder and runtime platform.. It has 44 GitHub-Sternen. Nerq Trust Score: 63/100 (C).
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 Skill Compose's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Skill Compose performs in each:
- Sicherheit (0/100): Skill Compose's Sicherheit posture is poor. This score factors in known CVEs, dependency vulnerabilities, Sicherheit policy presence, and code signing practices.
- Wartung (1/100): Skill Compose 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 (100/100): Skill Compose 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 62.9/100 (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 Skill Compose?
Skill Compose 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: Skill Compose'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 Skill Compose'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 Skill Compose's dependency tree. - Bewertung permissions — Understand what access Skill Compose requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Skill Compose 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=skill-compose - Überprüfen Sie das/die license — Confirm that Skill Compose'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 Skill Compose
When evaluating whether Skill Compose is safe, consider these category-specific risks:
Understand how Skill Compose 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 Skill Compose's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher Sicherheit risk.
Regularly check for updates to Skill Compose. Sicherheit patches and bug fixes are only effective if you're running the latest version.
If Skill Compose 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 Skill Compose's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Skill Compose in violation of its license can expose your organization to legal liability.
Skill Compose and the EU AI Act
Skill Compose 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 Skill Compose Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Skill Compose while minimizing risk:
Periodically review how Skill Compose is used in your workflow. Check for unexpected behavior, permissions drift, and Konformität with your Sicherheit policies.
Ensure Skill Compose and all its dependencies are running the latest stable versions to benefit from Sicherheit patches.
Grant Skill Compose only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Skill Compose's Sicherheit advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Skill Compose is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Skill Compose
Nerq's signals are one input. In the following situations, evaluate Skill Compose'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 Skill Compose's measured trust score of 62.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Skill Compose is suitable for any particular use.
How Skill Compose 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. Skill Compose's score of 62.9/100 is above the category average of 62/100.
This positions Skill Compose favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust Dimensionen.
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 Skill Compose 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, Skill Compose'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 Skill Compose's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=skill-compose&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 Skill Compose are strengthening or weakening over time.
Skill Compose vs Alternativen
In the coding category, Skill Compose scores 62.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Skill Compose vs AutoGPT — Trust Score: 65.3/100
- Skill Compose vs ollama — Trust Score: 64.4/100
- Skill Compose vs langchain — Trust Score: 77.0/100
Wichtigste Punkte
- Skill Compose has a measured Nerq Trust Score of 62.9/100 (C) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Skill Compose scores above the category average of 62/100 (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 Skill Compose sicher?
Was ist die Vertrauensbewertung von Skill Compose?
Was sind sicherere Alternativen zu Skill Compose?
Wie oft wird die Sicherheitsbewertung von Skill Compose aktualisiert?
Kann ich Skill Compose 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.