RRepoGEO

REPOGEO REPORT · LITE

splx-ai/agentic-radar

Default branch main · commit 65a7e4bd · scanned 6/11/2026, 10:47:03 PM

GitHub: 978 stars · 131 forks

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 splx-ai/agentic-radar, 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
    Elevate and expand the main heading to clearly state the repo's purpose

    Why:

    CURRENT
    A Security Scanner for your agentic workflows!
    COPY-PASTE FIX
    # Agentic Radar: A Security Scanner for LLM Agentic Workflows
  • mediumreadme#2
    Add a concise problem statement to the README's introduction

    Why:

    COPY-PASTE FIX
    Agentic Radar helps DevSecOps teams identify and mitigate security vulnerabilities and threats specific to generative AI and LLM agentic systems, ensuring robust and secure agentic workflows.
  • mediumreadme#3
    Create a 'Why Agentic Radar?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why Agentic Radar?
Unlike general LLM security tools or traditional code scanners, Agentic Radar is purpose-built for the unique security challenges of multi-step, tool-using LLM agentic workflows. We provide a comprehensive framework for evaluating and comparing agent performance and identifying specific vulnerabilities in agentic systems, rather than just prompt injection or model-level risks.

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 splx-ai/agentic-radar
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Giskard
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Giskard · recommended 2×
  2. OWASP Top 10 for LLM Applications · recommended 2×
  3. Semgrep · recommended 2×
  4. Robust Intelligence (RI) · recommended 1×
  5. Lakera Guard · recommended 1×
  • CATEGORY QUERY
    How can I find security vulnerabilities in my generative AI agentic workflows?
    you: not recommended
    AI recommended (in order):
    1. Giskard
    2. Robust Intelligence (RI)
    3. Lakera Guard
    4. NeMo Guardrails (NVIDIA)
    5. OWASP Top 10 for LLM Applications
    6. Semgrep
    7. ZAP (OWASP Zed Attack Proxy)

    AI recommended 7 alternatives but never named splx-ai/agentic-radar. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best DevSecOps tools for scanning LLM agent security threats?
    you: not recommended
    AI recommended (in order):
    1. Giskard
    2. NeMo Guardrails
    3. LLM Guard
    4. Prompt Security
    5. OWASP Top 10 for LLM Applications
    6. Semgrep
    7. TruffleHog

    AI recommended 7 alternatives but never named splx-ai/agentic-radar. 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 splx-ai/agentic-radar?
    pass
    AI named splx-ai/agentic-radar explicitly

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

  • If a team adopts splx-ai/agentic-radar in production, what risks or prerequisites should they evaluate first?
    pass
    AI named splx-ai/agentic-radar 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 splx-ai/agentic-radar solve, and who is the primary audience?
    pass
    AI named splx-ai/agentic-radar explicitly

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

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splx-ai/agentic-radar — 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