¿Es Work Ledger Seguro?
Work Ledger — Nerq Trust Score 61.2/100 (Grado C). Puntuación basada en 5 independent trust signals.
Work Ledger es un software tool con un Nerq Trust Score de 61.2/100 (C), basado en 5 dimensiones de datos independientes. Seguridad: 0/100. Mantenimiento: 1/100. Popularidad: 0/100. Datos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Última actualización: n/a. Datos legibles por máquina (JSON).
¿Es Work Ledger Seguro?
Desglose de Puntuación de Confianza — Work Ledger has a Nerq Trust Score of 61.2/100 (C). Measured across 5 independent trust signals.
¿Cuál es la puntuación de confianza de Work Ledger?
Work Ledger tiene una Puntuación de Confianza Nerq de 61.2/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Work Ledger?
La señal más fuerte de Work Ledger es cumplimiento con 87/100. No se han detectado vulnerabilidades conocidas.
¿Qué es Work Ledger y quién lo mantiene?
| Autor | metawake |
| Categoría | Coding |
| Fuente | https://github.com/metawake/work-ledger |
| Frameworks | langchain · crewai · llamaindex · openai · anthropic |
| Protocols | rest |
Cumplimiento Regulatorio
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en coding
Work Ledger en Otras Plataformas
Mismo desarrollador/empresa en otros registros:
What Is Work Ledger?
Work Ledger is a software tool in the coding category: Agentic monitoring and benchmarking tool for AI agents.. Nerq Trust Score: 61/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including seguridad vulnerabilities, mantenimiento activity, license cumplimiento, and adopción por la comunidad.
How Nerq Assesses Work Ledger's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Work Ledger performs in each:
- Seguridad (0/100): Work Ledger's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Work Ledger 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 documentación, usage examples, and contribution guidelines.
- Compliance (87/100): Work Ledger is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basado en GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 61.2/100 (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 Work Ledger?
Work Ledger 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: Work Ledger's measured signals (seguridad 0/100, mantenimiento 1/100, documentación 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 Work Ledger's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar el/la repository's seguridad policy, open issues, and recent commits for signs of active mantenimiento.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Work Ledger's dependency tree. - Reseña permissions — Understand what access Work Ledger requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Work Ledger 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=work-ledger - Revisar el/la license — Confirm that Work Ledger'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 seguridad concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Work Ledger
When evaluating whether Work Ledger is safe, consider these category-specific risks:
Understand how Work Ledger processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Work Ledger's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Work Ledger. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Work Ledger 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 Work Ledger's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Work Ledger in violation of its license can expose your organization to legal liability.
Work Ledger and the EU AI Act
Work Ledger 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 cumplimiento assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal cumplimiento.
Best Practices for Using Work Ledger Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Work Ledger while minimizing risk:
Periodically review how Work Ledger is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Work Ledger and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Work Ledger only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Work Ledger's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Work Ledger is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Work Ledger
Nerq's signals are one input. In the following situations, evaluate Work Ledger'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 Work Ledger's measured trust score of 61.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Work Ledger is suitable for any particular use.
How Work Ledger 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. Work Ledger's score of 61.2/100 is near the category average of 62/100.
This places Work Ledger in line with the typical coding 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 moderado 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 Work Ledger 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 mantenimiento patterns change, Work Ledger'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 seguridad and quality. Conversely, a downward trend may signal reduced mantenimiento, growing technical debt, or unresolved vulnerabilities. To track Work Ledger's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=work-ledger&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 — seguridad, mantenimiento, documentación, cumplimiento, and community — has evolved independently, providing granular visibility into which aspects of Work Ledger are strengthening or weakening over time.
Work Ledger vs Alternativas
In the coding category, Work Ledger scores 61.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Work Ledger vs AutoGPT — Trust Score: 65.3/100
- Work Ledger vs ollama — Trust Score: 64.4/100
- Work Ledger vs langchain — Trust Score: 77.0/100
Puntos Clave
- Work Ledger has a measured Nerq Trust Score of 61.2/100 (C) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Work Ledger scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — seguridad, mantenimiento, documentación, cumplimiento, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Preguntas Frecuentes
¿Es Work Ledger Seguro?
¿Cuál es la puntuación de confianza de Work Ledger?
¿Cuáles son alternativas más seguras a Work Ledger?
¿Con qué frecuencia se actualiza la puntuación de Work Ledger?
¿Puedo usar Work Ledger en un entorno regulado?
Ver también
Disclaimer: Las puntuaciones de confianza de Nerq son evaluaciones automatizadas basadas en señales disponibles públicamente. No son respaldos ni garantías. Siempre realice su propia diligencia debida.