Is Sf Story Factory Safe?
Sf Story Factory — Nerq Trust Score 64.9/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-20.
Use Sf Story Factory with some caution. Sf Story Factory is a software tool with a Nerq Trust Score of 64.9/100 (C), based on 5 independent data dimensions. Below the recommended threshold of 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: 2026-05-20. Machine-readable data (JSON).
Is Sf Story Factory safe?
CAUTION — Sf Story Factory has a Nerq Trust Score of 64.9/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Sf Story Factory's trust score?
Sf Story Factory has a Nerq Trust Score of 64.9/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Sf Story Factory?
Sf Story Factory's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Sf Story Factory and who maintains it?
| Author | Garrett-s-Apps |
| Category | Coding |
| Source | https://github.com/Garrett-s-Apps/sf-story-factory |
| Frameworks | anthropic |
| Protocols | mcp · rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in coding
What Is Sf Story Factory?
Sf Story Factory is a software tool in the coding category: Multi-agent system for Salesforce-centric user story generation and lifecycle management.. Nerq Trust Score: 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 Sf Story Factory's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Sf Story Factory performs in each:
- Security (0/100): Sf Story Factory's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Sf Story Factory 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 documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Sf Story Factory 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 Trust Score of 64.9/100 (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 Sf Story Factory?
Sf Story Factory 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: Sf Story Factory 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 Sf Story Factory'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 Sf Story Factory's dependency tree. - Review permissions — Understand what access Sf Story Factory requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Sf Story Factory 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=sf-story-factory - Review the license — Confirm that Sf Story Factory'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 Sf Story Factory
When evaluating whether Sf Story Factory is safe, consider these category-specific risks:
Understand how Sf Story Factory processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Sf Story Factory's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Sf Story Factory. Security patches and bug fixes are only effective if you're running the latest version.
If Sf Story Factory 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 Sf Story Factory's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Sf Story Factory in violation of its license can expose your organization to legal liability.
Sf Story Factory and the EU AI Act
Sf Story Factory 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 Sf Story Factory Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Sf Story Factory while minimizing risk:
Periodically review how Sf Story Factory is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Sf Story Factory and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Sf Story Factory only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Sf Story Factory's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Sf Story Factory is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Sf Story Factory?
Even promising tools aren't right for every situation. Consider avoiding Sf Story Factory 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 Sf Story Factory's trust score of 64.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Sf Story Factory 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. Sf Story Factory's score of 64.9/100 is above the category average of 62/100.
This positions Sf Story Factory favorably among coding 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.
Trust Score History
Nerq continuously monitors Sf Story Factory 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, Sf Story Factory'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 Sf Story Factory's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=sf-story-factory&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 Sf Story Factory are strengthening or weakening over time.
Sf Story Factory vs Alternatives
In the coding category, Sf Story Factory scores 64.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Sf Story Factory vs AutoGPT — Trust Score: 63.2/100
- Sf Story Factory vs ollama — Trust Score: 58.0/100
- Sf Story Factory vs langchain — Trust Score: 71.3/100
Key Takeaways
- Sf Story Factory has a Trust Score of 64.9/100 (C) and is not yet Nerq Verified.
- Sf Story Factory shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Sf Story Factory 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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 0/100 |
| Maintenance | 1/100 |
| Popularity | 0/100 |
Based on 3 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Sf Story Factory collect?
Privacy assessment for Sf Story Factory is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Sf Story Factory secure?
Security score: 0/100. 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: Sf Story Factory Security Report
How we calculated this score
Sf Story Factory's trust score of 64.9/100 (C) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 3 independent dimensions: security (0/100), maintenance (1/100), 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 20, 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.