Is Filthy Clanker Safe?
Filthy Clanker — Nerq Trust Score 53.2/100 (D grade). Score based on 5 independent trust signals.
Filthy Clanker is a software tool with a Nerq Trust Score of 53.2/100 (D), based on 5 independent data dimensions. 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: n/a. Machine-readable data (JSON).
Is Filthy Clanker safe?
Trust Score Breakdown — Filthy Clanker has a Nerq Trust Score of 53.2/100 (D). Measured across 5 independent trust signals.
What is Filthy Clanker's trust score?
Filthy Clanker has a Nerq Trust Score of 53.2/100, earning a D grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Filthy Clanker?
Filthy Clanker's strongest signal is compliance at 100/100. No known vulnerabilities have been detected.
What is Filthy Clanker and who maintains it?
| Author | iantheconway |
| Category | Security |
| Source | https://github.com/iantheconway/filthy-clanker |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in security
What Is Filthy Clanker?
Filthy Clanker is a security tool: AI Agent for CTF Hacking. Nerq Trust Score: 53/100 (D).
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 Filthy Clanker's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Filthy Clanker performs in each:
- Security (0/100): Filthy Clanker's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Filthy Clanker 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): Filthy Clanker 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 53.2/100 (D) 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 Filthy Clanker?
Filthy Clanker is commonly evaluated by:
- Developers and teams working with security tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Filthy Clanker's measured signals (security 0/100, maintenance 1/100, 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 Filthy Clanker'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 Filthy Clanker's dependency tree. - Review permissions — Understand what access Filthy Clanker requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Filthy Clanker 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=filthy-clanker - Review the license — Confirm that Filthy Clanker'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 Filthy Clanker
When evaluating whether Filthy Clanker is safe, consider these category-specific risks:
Understand how Filthy Clanker processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Filthy Clanker's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Filthy Clanker. Security patches and bug fixes are only effective if you're running the latest version.
If Filthy Clanker 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 Filthy Clanker's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Filthy Clanker in violation of its license can expose your organization to legal liability.
Filthy Clanker and the EU AI Act
Filthy Clanker 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 Filthy Clanker Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Filthy Clanker while minimizing risk:
Periodically review how Filthy Clanker is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Filthy Clanker and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Filthy Clanker only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Filthy Clanker's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Filthy Clanker is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Filthy Clanker
Nerq's signals are one input. In the following situations, evaluate Filthy Clanker'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 Filthy Clanker's measured trust score of 53.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Filthy Clanker is suitable for any particular use.
How Filthy Clanker Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among security tools, the average Trust Score is 67/100. Filthy Clanker's score of 53.2/100 is below the category average of 67/100.
This suggests that Filthy Clanker trails behind many comparable security 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 Filthy Clanker 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, Filthy Clanker'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 Filthy Clanker's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=filthy-clanker&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 Filthy Clanker are strengthening or weakening over time.
Filthy Clanker vs Alternatives
In the security category, Filthy Clanker scores 53.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Filthy Clanker vs Ciphey — Trust Score: 63.4/100
- Filthy Clanker vs strix — Trust Score: 64.4/100
- Filthy Clanker vs SWE-agent — Trust Score: 76.9/100
Key Takeaways
- Filthy Clanker has a measured Nerq Trust Score of 53.2/100 (D) — a composite of independent signals, not a suitability judgment.
- Among security tools, Filthy Clanker scores below the category average of 67/100 (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.