Is Openclaw Memory Rag Skill Safe?
Openclaw Memory Rag Skill — Nerq Trust Score 43.3/100 (E grade). Score based on 4 independent trust signals.
Openclaw Memory Rag Skill is a software tool with a Nerq Trust Score of 43.3/100 (E), based on 4 independent data dimensions. Security: 0/100. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: n/a. Machine-readable data (JSON).
Is Openclaw Memory Rag Skill safe?
Trust Score Breakdown — Openclaw Memory Rag Skill has a Nerq Trust Score of 43.3/100 (E). Measured across 4 independent trust signals.
What is Openclaw Memory Rag Skill's trust score?
Openclaw Memory Rag Skill has a Nerq Trust Score of 43.3/100, earning a E grade. This score is based on 4 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Openclaw Memory Rag Skill?
Openclaw Memory Rag Skill's strongest signal is security at 0/100. No known vulnerabilities have been detected.
What is Openclaw Memory Rag Skill and who maintains it?
| Author | killua20 |
| Category | Uncategorized |
| Source | https://github.com/killua20/openclaw-memory-rag-skill |
What Is Openclaw Memory Rag Skill?
Openclaw Memory Rag Skill is a software tool in the uncategorized category: 基于 PageIndex 的 RAG 记忆系统 Skill for OpenClaw - 为 AI Agent 提供持久化记忆能力. Nerq Trust Score: 43/100 (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 Openclaw Memory Rag Skill's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Openclaw Memory Rag Skill performs in each:
- Security (0/100): Openclaw Memory Rag Skill's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (0/100): Openclaw Memory Rag Skill 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 43.3/100 (E) 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 Openclaw Memory Rag Skill?
Openclaw Memory Rag Skill is commonly evaluated by:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Openclaw Memory Rag Skill's measured signals (security 0/100, maintenance 0/100, documentation 0/100, 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 Openclaw Memory Rag Skill'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 Openclaw Memory Rag Skill's dependency tree. - Review permissions — Understand what access Openclaw Memory Rag Skill requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Openclaw Memory Rag Skill 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=openclaw-memory-rag-skill - Review the license — Confirm that Openclaw Memory Rag Skill'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 Openclaw Memory Rag Skill
When evaluating whether Openclaw Memory Rag Skill is safe, consider these category-specific risks:
Understand how Openclaw Memory Rag Skill processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Openclaw Memory Rag Skill's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Openclaw Memory Rag Skill. Security patches and bug fixes are only effective if you're running the latest version.
If Openclaw Memory Rag Skill 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 Openclaw Memory Rag Skill's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Openclaw Memory Rag Skill in violation of its license can expose your organization to legal liability.
Best Practices for Using Openclaw Memory Rag Skill Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Openclaw Memory Rag Skill while minimizing risk:
Periodically review how Openclaw Memory Rag Skill is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Openclaw Memory Rag Skill and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Openclaw Memory Rag Skill only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Openclaw Memory Rag Skill's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Openclaw Memory Rag Skill is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Openclaw Memory Rag Skill
Nerq's signals are one input. In the following situations, evaluate Openclaw Memory Rag Skill'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 Openclaw Memory Rag Skill's measured trust score of 43.3/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Openclaw Memory Rag Skill is suitable for any particular use.
How Openclaw Memory Rag Skill Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Openclaw Memory Rag Skill's score of 43.3/100 is below the category average of 62/100.
This suggests that Openclaw Memory Rag Skill trails behind many comparable uncategorized 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 Openclaw Memory Rag Skill 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, Openclaw Memory Rag Skill'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 Openclaw Memory Rag Skill's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=openclaw-memory-rag-skill&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 Openclaw Memory Rag Skill are strengthening or weakening over time.
Key Takeaways
- Openclaw Memory Rag Skill has a measured Nerq Trust Score of 43.3/100 (E) — a composite of independent signals, not a suitability judgment.
- Among uncategorized tools, Openclaw Memory Rag Skill scores below the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — security, maintenance, documentation, compliance, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.