RRepoGEO

REPOGEO REPORT · LITE

firerpa/lamda

Default branch 9.0 · commit 84edc22f · scanned 6/23/2026, 5:57:04 AM

GitHub: 7,836 stars · 1,043 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface firerpa/lamda, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clear disambiguation for 'lamda' in the README

    Why:

    COPY-PASTE FIX
    Add the following line directly after the H1 or H6 in your README: `**Important Note:** FIRERPA Lamda is an Android automation framework and has no relation to AWS Lambda.`
  • highreadme#2
    Strengthen README's opening to highlight core use cases for AI

    Why:

    CURRENT
    FIRERPA is a lightweight, on-device Android automation stack with no external dependencies. It unifies low-latency remote desktop with 160+ APIs for device discovery/status/logs, system and app control, UI automation, OCR/image matching, file I/O, storage, scheduling, and shell execution, plus distributed deployment via Hub/FRP/OpenVPN. Built-in ADB/SSH/SCP, logging, API locking, certificates, script encryption, proxy/VPN/MITM utilities, and reverse tooling (Frida persistence/export/report, IDA debugging, binary patching) round out production workflows, alongside MCP/Agent tool-calls and extensions.
    COPY-PASTE FIX
    FIRERPA Lamda is the definitive on-device Android automation framework, purpose-built for advanced mobile security, dynamic analysis, reverse engineering, and AI-powered RPA. It provides a lightweight, robust stack with no external dependencies, unifying low-latency remote desktop with 160+ APIs for device discovery/status/logs, system and app control, UI automation, OCR/image matching, file I/O, storage, scheduling, and shell execution, plus distributed deployment via Hub/FRP/OpenVPN. Built-in ADB/SSH/SCP, logging, API locking, certificates, script encryption, proxy/VPN/MITM utilities, and reverse tooling (Frida persistence/export/report, IDA debugging, binary patching) round out production workflows, alongside MCP/Agent tool-calls and extensions.
  • mediumtopics#3
    Add 'rpa' to repository topics

    Why:

    CURRENT
    adb, agents, ai, android, appium, automation, dynamic-analysis, frida, magisk, mcp, mcp-server, mobile-security, pentesting, remote-control, reverse-engineering, security, uiautomation, uiautomator2, workflow, xposed
    COPY-PASTE FIX
    adb, agents, ai, android, appium, automation, dynamic-analysis, frida, magisk, mcp, mcp-server, mobile-security, pentesting, remote-control, reverse-engineering, rpa, security, uiautomation, uiautomator2, workflow, xposed

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface firerpa/lamda
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Lite
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Lite · recommended 1×
  2. ML Kit · recommended 1×
  3. PyTorch Mobile · recommended 1×
  4. MediaPipe · recommended 1×
  5. Android Neural Networks API (NNAPI) · recommended 1×
  • CATEGORY QUERY
    What are the best frameworks for robust on-device Android automation with AI capabilities?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. ML Kit
    3. PyTorch Mobile
    4. MediaPipe
    5. Android Neural Networks API (NNAPI)
    6. OpenCV
    7. Fritz AI

    AI recommended 7 alternatives but never named firerpa/lamda. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for Android dynamic analysis, reverse engineering, and mobile security pentesting?
    you: not recommended
    AI recommended (in order):
    1. Frida
    2. objection
    3. MobSF
    4. Burp Suite Professional
    5. Ghidra
    6. Jadx
    7. Android Debug Bridge (ADB)

    AI recommended 7 alternatives but never named firerpa/lamda. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of firerpa/lamda?
    pass
    AI named firerpa/lamda explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts firerpa/lamda in production, what risks or prerequisites should they evaluate first?
    pass
    AI named firerpa/lamda explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo firerpa/lamda solve, and who is the primary audience?
    pass
    AI named firerpa/lamda explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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firerpa/lamda — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite