Er Cc Dataanalysisagent sikker?
Cc Dataanalysisagent — Nerq Tillidsscore 65.4/100 (Karakter C). Baseret på analyse af 5 tillidsdimensioner vurderes det som generelt sikkert men med visse bekymringer. Sidst opdateret: 2026-04-01.
Brug Cc Dataanalysisagent med forsigtighed. Cc Dataanalysisagent is a software tool with a Nerq Tillidsscore of 65.4/100 (C), based on 5 independent data dimensions. Det er under den anbefalede tærskel på 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Maskinlæsbare data (JSON).
Er Cc Dataanalysisagent sikker?
FORSIGTIGHED — Cc Dataanalysisagent has a Nerq Tillidsscore of 65.4/100 (C). Har moderate tillidssignaler, men viser nogle bekymrende områder, der kræver opmærksomhed. Egnet til udviklingsformål — gennemgå sikkerheds- og vedligeholdelsessignaler før produktionsimplementering.
Hvad er Cc Dataanalysisagents tillidsscore?
Cc Dataanalysisagent has a Nerq Tillidsscore of 65.4/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
Hvad er de vigtigste sikkerhedsresultater for Cc Dataanalysisagent?
Cc Dataanalysisagent's strongest signal is overholdelse at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Hvad er Cc Dataanalysisagent og hvem vedligeholder det?
| Udvikler | Chilldd |
| Kategori | data |
| Kilde | https://github.com/Chilldd/CC-DataAnalysisAgent |
| Frameworks | anthropic |
| Protocols | mcp |
Lovgivningsmæssig overholdelse
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i data
What Is Cc Dataanalysisagent?
Cc Dataanalysisagent is a software tool in the data category: MCP服务器，用于Excel数据分析和图表生成. Nerq Tillidsscore: 65/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Cc Dataanalysisagent's Safety
Nerq's Tillidsscore is calculated from 13+ independent signals aggregated into five dimensions. Here is how Cc Dataanalysisagent performs in each:
- Sikkerhed (0/100): Cc Dataanalysisagent's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Vedligeholdelse (1/100): Cc Dataanalysisagent 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.
- Compliance (100/100): Cc Dataanalysisagent is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Tillidsscore of 65.4/100 (C) 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 Cc Dataanalysisagent?
Cc Dataanalysisagent is designed for:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Cc Dataanalysisagent is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Cc Dataanalysisagent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's security 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 Cc Dataanalysisagent's dependency tree. - Anmeldelse permissions — Understand what access Cc Dataanalysisagent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Cc Dataanalysisagent 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=CC-DataAnalysisAgent - Gennemgå license — Confirm that Cc Dataanalysisagent'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Cc Dataanalysisagent
When evaluating whether Cc Dataanalysisagent is safe, consider these category-specific risks:
Understand how Cc Dataanalysisagent processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Cc Dataanalysisagent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Cc Dataanalysisagent. Security patches and bug fixes are only effective if you're running the latest version.
If Cc Dataanalysisagent 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 Cc Dataanalysisagent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Cc Dataanalysisagent in violation of its license can expose your organization to legal liability.
Cc Dataanalysisagent and the EU AI Act
Cc Dataanalysisagent 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Cc Dataanalysisagent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Cc Dataanalysisagent while minimizing risk:
Periodically review how Cc Dataanalysisagent is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Cc Dataanalysisagent and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Cc Dataanalysisagent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Cc Dataanalysisagent's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Cc Dataanalysisagent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Cc Dataanalysisagent?
Even promising tools aren't right for every situation. Consider avoiding Cc Dataanalysisagent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Cc Dataanalysisagent 65.4/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Cc Dataanalysisagent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Tillidsscore is 62/100. Cc Dataanalysisagent's score of 65.4/100 is above the category average of 62/100.
This positions Cc Dataanalysisagent favorably among data tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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.
Tillidsscore History
Nerq continuously monitors Cc Dataanalysisagent and recalculates its Tillidsscore 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, Cc Dataanalysisagent'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Cc Dataanalysisagent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=CC-DataAnalysisAgent&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Cc Dataanalysisagent are strengthening or weakening over time.
Cc Dataanalysisagent vs Alternatives
I data-kategorien, Cc Dataanalysisagent scorer 65.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Cc Dataanalysisagent vs firecrawl — Tillidsscore: 73.8/100
- Cc Dataanalysisagent vs MinerU — Tillidsscore: 84.6/100
- Cc Dataanalysisagent vs mindsdb — Tillidsscore: 77.5/100
Vigtigste pointer
- Cc Dataanalysisagent has a Tillidsscore of 65.4/100 (C) and is not yet Nerq Verified.
- Cc Dataanalysisagent shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among data tools, Cc Dataanalysisagent scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Ofte stillede spørgsmål
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Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.