Github Issue Fetcher est-il sûr ?
Github Issue Fetcher — Nerq Trust Score 44.7/100 (Note E). Sur la base de l'analyse de 3 dimensions de confiance, il est a des préoccupations de sécurité notables. Dernière mise à jour : 2026-04-07.
Faites preuve de prudence avec Github Issue Fetcher. Github Issue Fetcher est un software tool avec un Nerq Trust Score de 44.7/100 (E), basé sur 3 dimensions de données indépendantes. En dessous du seuil vérifié Nerq Maintenance: 0/100. Popularité: 0/100. Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: 2026-04-07. Données lisibles par machine (JSON).
Github Issue Fetcher est-il sûr ?
NO — USE WITH CAUTION — Github Issue Fetcher has a Nerq Trust Score of 44.7/100 (E). Il présente des signaux de confiance inférieurs à la moyenne avec des lacunes significatives in sécurité, maintenance, or documentation. Not recommended for production use without thorough manual review and additional sécurité measures.
Quel est le score de confiance de Github Issue Fetcher ?
Github Issue Fetcher a un Score de Confiance Nerq de 44.7/100, obtenant la note E. Ce score est basé sur 3 dimensions mesurées indépendamment.
Quels sont les résultats de sécurité clés pour Github Issue Fetcher ?
Le signal le plus fort de Github Issue Fetcher est maintenance à 0/100. Aucune vulnérabilité connue n'a été détectée. N'a pas encore atteint le seuil vérifié Nerq de 70+.
Qu'est-ce que Github Issue Fetcher et qui le maintient ?
| Auteur | https://github.com/sammcj/mcp-github-issue |
| Catégorie | Coding |
| Étoiles | 14 |
| Source | https://github.com/sammcj/mcp-github-issue |
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What Is Github Issue Fetcher?
Github Issue Fetcher is a software tool in the coding category: Fetches GitHub issues and transforms them for software development workflows.. It has 14 GitHub stars. Nerq Trust Score: 45/100 (E).
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 Github Issue Fetcher's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Github Issue Fetcher performs in each:
- Maintenance (0/100): Github Issue Fetcher 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 documentation, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Basé sur GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 44.7/100 (E) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Github Issue Fetcher?
Github Issue Fetcher is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Github Issue Fetcher. The low trust score suggests potential risks in sécurité, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Github Issue Fetcher's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Examiner le/la repository sécurité policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Github Issue Fetcher's dependency tree. - Avis permissions — Understand what access Github Issue Fetcher requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Github Issue Fetcher 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=GitHub Issue Fetcher - Examiner le/la license — Confirm that Github Issue Fetcher'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 sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Github Issue Fetcher
When evaluating whether Github Issue Fetcher is safe, consider these category-specific risks:
Understand how Github Issue Fetcher processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Github Issue Fetcher's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sécurité risk.
Regularly check for updates to Github Issue Fetcher. Sécurité patches and bug fixes are only effective if you're running the latest version.
If Github Issue Fetcher 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 Github Issue Fetcher's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Github Issue Fetcher in violation of its license can expose your organization to legal liability.
Best Practices for Using Github Issue Fetcher Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Github Issue Fetcher while minimizing risk:
Periodically review how Github Issue Fetcher is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.
Ensure Github Issue Fetcher and all its dependencies are running the latest stable versions to benefit from sécurité patches.
Grant Github Issue Fetcher only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Github Issue Fetcher's sécurité advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Github Issue Fetcher is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Github Issue Fetcher?
Even promising tools aren't right for every situation. Consider avoiding Github Issue Fetcher in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional conformité review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Github Issue Fetcher's trust score of 44.7/100 meets your organization's risk tolerance. We recommend running a manual sécurité assessment alongside the automated Nerq score.
How Github Issue Fetcher 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. Github Issue Fetcher's score of 44.7/100 is below the category average of 62/100.
This suggests that Github Issue Fetcher trails behind many comparable coding tools. Organizations with strict sécurité requirements should evaluate whether higher-scoring alternatives better meet their needs.
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 Github Issue Fetcher 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, Github Issue Fetcher'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 Github Issue Fetcher's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=GitHub Issue Fetcher&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 Github Issue Fetcher are strengthening or weakening over time.
Github Issue Fetcher vs Alternatives
In the coding category, Github Issue Fetcher scores 44.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Github Issue Fetcher vs AutoGPT — Trust Score: 74.7/100
- Github Issue Fetcher vs ollama — Trust Score: 73.8/100
- Github Issue Fetcher vs langchain — Trust Score: 86.4/100
Points Essentiels
- Github Issue Fetcher has a Trust Score of 44.7/100 (E) and is not yet Nerq Verified.
- Github Issue Fetcher has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among coding tools, Github Issue Fetcher scores below the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Questions fréquentes
Github Issue Fetcher est-il sûr ?
Quel est le score de confiance de Github Issue Fetcher ?
Quelles sont les alternatives plus sûres à Github Issue Fetcher ?
À quelle fréquence le score de sécurité de Github Issue Fetcher est-il mis à jour ?
Puis-je utiliser Github Issue Fetcher dans un environnement réglementé ?
Voir aussi
Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.