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Mira

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Enables teams to validate AI model behavior on actual mobile devices before production, reducing costly runtime failures and performance regressions that sim…

Mobile runtime detection workbench for AI (iOS and Android)

103 starsGPL-3.0 (check with legal)FreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Enables teams to validate AI model behavior on actual mobile devices before production, reducing costly runtime failures and performance regressions that simulators miss.

Mobile engineering teams integrating LLMs or vision models into iOS/Android apps requiring real-device performance verification.

Claude Code Claude Cowork Claude Chat

https://github.com/vwww-droid/Mira

By vwww-droid

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install vwww-droid/Mira

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me generate test cases to verify app behavior across different iOS and Android device configurations
CostFree

Trust Signals Auto-scanned

Stars103Contributors2Last updated2026-09-10LicenseGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-13 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 100 GitHub stars; contributors unknown; last commit 0d ago; license GPL-3.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • License (GPL-3.0) may restrict commercial use. Check with your legal team.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 100 GitHub stars; contributors unknown; last commit 0d ago; license GPL-3.0.

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