Is Mobile Actions Safe?

Mobile Actions — Nerq Trust Score 59.7/100 (D grade). Score based on 4 independent trust signals.

Mobile Actions is a software tool with a Nerq Trust Score of 59.7/100 (D), based on 4 independent data dimensions. Maintenance: 0/100. Popularity: 1/100. 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 Mobile Actions safe?

Trust Score Breakdown — Mobile Actions has a Nerq Trust Score of 59.7/100 (D). Measured across 4 independent trust signals.

Security Analysis → Mobile Actions Privacy Report →

What is Mobile Actions's trust score?

Mobile Actions has a Nerq Trust Score of 59.7/100, earning a D grade. This score is based on 4 independently measured dimensions including security, maintenance, and community adoption.

Compliance
100
Maintenance
0
Documentation
0
Popularity
1

What are the key security findings for Mobile Actions?

Mobile Actions's strongest signal is compliance at 100/100. No known vulnerabilities have been detected.

✗Maintenance: 0/100 — low maintenance activity
⚠Compliance: 100/100 — covers 52 of 52 jurisdictions
✗Documentation: 0/100 — limited documentation
⚠Popularity: 1/100 — 241 stars on huggingface dataset v2

What is Mobile Actions and who maintains it?

Authorgoogle
CategoryCoding
Stars241
Sourcehttps://huggingface.co/datasets/google/mobile-actions
Protocolshuggingface_api

Regulatory Compliance

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Popular Alternatives in coding

Significant-Gravitas/AutoGPT
65.3/100 · C
github
ollama/ollama
64.4/100 · C
github
langchain-ai/langchain
77.0/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
64.4/100 · C
github
anomalyco/opencode
78.5/100 · B
github

Mobile Actions Across Platforms

Same developer/company in other registries:

Site Kit by Google – Analytics, Search Console, AdSense, Speed
76/100 · wordpress
Web Stories
74/100 · wordpress
kfp-server-api
74/100 · pypi
kfp-pipeline-spec
72/100 · pypi
opentelemetry-exporter-gcp-trace
68/100 · pypi

What Is Mobile Actions?

Mobile Actions is a software tool in the coding category: Google's mobile-actions framework for creating autonomous agents.. It has 241 GitHub stars. Nerq Trust Score: 60/100 (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 Mobile Actions's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Mobile Actions performs in each:

The overall Trust Score of 59.7/100 (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 Mobile Actions?

Mobile Actions is commonly evaluated by:

How to read the signals: Mobile Actions's measured signals (maintenance 0/100, documentation 0/100, community 1/100) 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 Mobile Actions's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Mobile Actions's dependency tree.
  3. Review permissions — Understand what access Mobile Actions requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Mobile Actions in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=mobile-actions
  6. Review the license — Confirm that Mobile Actions'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.
  7. 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 Mobile Actions

When evaluating whether Mobile Actions is safe, consider these category-specific risks:

Data handling

Understand how Mobile Actions processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Mobile Actions's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Mobile Actions. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Mobile Actions 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.

License and IP compliance

Verify that Mobile Actions's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mobile Actions in violation of its license can expose your organization to legal liability.

Mobile Actions and the EU AI Act

Mobile Actions 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 Mobile Actions Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mobile Actions while minimizing risk:

Conduct regular audits

Periodically review how Mobile Actions is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Mobile Actions and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Mobile Actions only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Mobile Actions's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Mobile Actions is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Mobile Actions

Nerq's signals are one input. In the following situations, evaluate Mobile Actions's measured signals against your own requirements before making a decision:

For each situation, compare Mobile Actions's measured trust score of 59.7/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mobile Actions is suitable for any particular use.

How Mobile Actions 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. Mobile Actions's score of 59.7/100 is near the category average of 62/100.

This places Mobile Actions in line with the typical coding tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.

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 Mobile Actions 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, Mobile Actions'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 Mobile Actions's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mobile-actions&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 Mobile Actions are strengthening or weakening over time.

Mobile Actions vs Alternatives

In the coding category, Mobile Actions scores 59.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Mobile Actions Safe?
mobile-actions with a Nerq Trust Score of 59.7/100 (D). Strongest signal: compliance (100/100). Score based on Maintenance (0/100), Popularity (1/100), Documentation (0/100).
What is Mobile Actions's trust score?
mobile-actions: 59.7/100 (D). Score based on Maintenance (0/100), Popularity (1/100), Documentation (0/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=mobile-actions
What are safer alternatives to Mobile Actions?
In the Coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT (65/100), ollama/ollama (64/100), langchain-ai/langchain (77/100). mobile-actions scores 59.7/100.
How often is Mobile Actions's safety score updated?
Nerq recomputes Mobile Actions's trust score as new data becomes available. Current: 59.7/100 (D). API: GET nerq.ai/v1/preflight?target=mobile-actions
Can I use Mobile Actions in a regulated environment?
Mobile Actions: 59.7/100 (D). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

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.

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