Is Steel Puppeteer Safe?
Steel Puppeteer — Nerq Trust Score 44.7/100 (E grade). Based on analysis of 3 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-22.
Exercise caution with Steel Puppeteer. Steel Puppeteer is a software tool with a Nerq Trust Score of 44.7/100 (E), based on 3 independent data dimensions. Below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-22. Machine-readable data (JSON).
Is Steel Puppeteer safe?
NO — USE WITH CAUTION — Steel Puppeteer has a Nerq Trust Score of 44.7/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Steel Puppeteer's trust score?
Steel Puppeteer has a Nerq Trust Score of 44.7/100, earning a E grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Steel Puppeteer?
Steel Puppeteer's strongest signal is maintenance at 0/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Steel Puppeteer and who maintains it?
| Author | https://github.com/rdvo/mcp-server |
| Category | Devops |
| Stars | 46 |
| Source | https://github.com/steel-dev/steel-mcp-server |
Popular Alternatives in devops
What Is Steel Puppeteer?
Steel Puppeteer is a DevOps tool: Steel Puppeteer integrates Puppeteer with Steel SDK for complex web interactions and data extraction.. It has 46 GitHub stars. Nerq Trust Score: 45/100 (E).
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 Steel Puppeteer's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Steel Puppeteer performs in each:
- Maintenance (0/100): Steel Puppeteer 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. Based on 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 Steel Puppeteer?
Steel Puppeteer is designed for:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Steel Puppeteer. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Steel Puppeteer'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 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 Steel Puppeteer's dependency tree. - Review permissions — Understand what access Steel Puppeteer requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Steel Puppeteer 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=Steel Puppeteer - Review the license — Confirm that Steel Puppeteer'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 Steel Puppeteer
When evaluating whether Steel Puppeteer is safe, consider these category-specific risks:
Understand how Steel Puppeteer processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Steel Puppeteer's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Steel Puppeteer. Security patches and bug fixes are only effective if you're running the latest version.
If Steel Puppeteer 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 Steel Puppeteer's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Steel Puppeteer in violation of its license can expose your organization to legal liability.
Best Practices for Using Steel Puppeteer Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Steel Puppeteer while minimizing risk:
Periodically review how Steel Puppeteer is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Steel Puppeteer and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Steel Puppeteer only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Steel Puppeteer's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Steel Puppeteer is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Steel Puppeteer?
Even promising tools aren't right for every situation. Consider avoiding Steel Puppeteer 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 Steel Puppeteer's trust score of 44.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Steel Puppeteer 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. Steel Puppeteer's score of 44.7/100 is below the category average of 63/100.
This suggests that Steel Puppeteer trails behind many comparable DevOps tools. Organizations with strict security 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 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.
Trust Score History
Nerq continuously monitors Steel Puppeteer 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, Steel Puppeteer'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 Steel Puppeteer's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Steel Puppeteer&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 Steel Puppeteer are strengthening or weakening over time.
Steel Puppeteer vs Alternatives
In the devops category, Steel Puppeteer scores 44.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Steel Puppeteer vs ansible — Trust Score: 76.8/100
- Steel Puppeteer vs Flowise — Trust Score: 63.3/100
- Steel Puppeteer vs learn-claude-code — Trust Score: 69.2/100
Key Takeaways
- Steel Puppeteer has a Trust Score of 44.7/100 (E) and is not yet Nerq Verified.
- Steel Puppeteer has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among DevOps tools, Steel Puppeteer scores below the category average of 63/100, 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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Maintenance | 0/100 |
| Popularity | 0/100 |
Based on 2 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Steel Puppeteer collect?
Privacy assessment for Steel Puppeteer is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Steel Puppeteer secure?
Security score: under assessment. Review security practices and consider alternatives with higher security scores for sensitive use cases.
Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.
Full analysis: Steel Puppeteer Security Report
How we calculated this score
Steel Puppeteer's trust score of 44.7/100 (E) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 2 independent dimensions: maintenance (0/100), popularity (0/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 22, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.