RRepoGEO

REPOGEO REPORT · LITE

msoedov/agentic_security

Default branch main · commit 2aabcef4 · scanned 5/18/2026, 4:41:33 AM

GitHub: 1,872 stars · 253 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
33 /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
2 / 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 msoedov/agentic_security, 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
    Reposition the README's opening to emphasize its unique 'agentic' platform and red teaming capabilities

    Why:

    CURRENT
    An open-source vulnerability scanner for Agent Workflows and Large Language Models (LLMs)<br />Protecting AI systems from jailbreaks, fuzzing, and multimodal attacks.
    COPY-PASTE FIX
    The **Agentic Security** platform is an open-source, agent-powered vulnerability scanner and AI red teaming kit designed to protect LLM applications from advanced threats like multi-step jailbreaks, prompt injection, fuzzing, and multimodal attacks.
  • mediumtopics#2
    Add more specific keywords to the repository topics

    Why:

    CURRENT
    agent-framework, agent-security, ai-red-team, llm-evaluation, llm-evaluation-framework, llm-fuzzer, llm-fuzzer-aggregator, llm-fuzzing, llm-guardrails, llm-jailbreaks, llm-scanner, llm-security, llm-vulnerabilities, prompt-testing
    COPY-PASTE FIX
    agent-framework, agent-security, ai-red-team, llm-evaluation, llm-evaluation-framework, llm-fuzzer, llm-fuzzer-aggregator, llm-fuzzing, llm-guardrails, llm-jailbreaks, llm-scanner, llm-security, llm-vulnerabilities, prompt-testing, prompt-injection, ai-red-teaming-platform, llm-red-teaming
  • lowabout#3
    Refine the 'About' description for clarity and keyword density

    Why:

    CURRENT
    Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
    COPY-PASTE FIX
    An agentic LLM vulnerability scanning platform and AI red teaming kit for detecting jailbreaks, prompt injection, and multimodal attacks. 🧪

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 msoedov/agentic_security
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Garak
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Garak · recommended 1×
  2. LLM Guard · recommended 1×
  3. Prompt Security Toolkit (PST) · recommended 1×
  4. Adversarial GLUE (AdvGLUE) · recommended 1×
  5. OWASP Top 10 for LLM Applications · recommended 1×
  • CATEGORY QUERY
    How can I test my LLM applications for jailbreaks and prompt injection vulnerabilities?
    you: not recommended
    AI recommended (in order):
    1. Garak
    2. LLM Guard
    3. Prompt Security Toolkit (PST)
    4. Adversarial GLUE (AdvGLUE)
    5. OWASP Top 10 for LLM Applications
    6. Red Teaming with Human Experts
    7. LangChain

    AI recommended 7 alternatives but never named msoedov/agentic_security. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help perform red teaming and security assessments for AI agent systems?
    you: not recommended
    AI recommended (in order):
    1. Giskard (GiskardAI/giskard)
    2. Adversarial Robustness Toolbox (ART) (IBM/adversarial-robustness-toolbox)
    3. OWASP Top 10 for Large Language Model Applications (LLM Top 10) (OWASP/owasp-llm-top-10)
    4. Microsoft Counterfit (Azure/counterfit)
    5. FAR AI's Red Teaming Platform
    6. PromptInject (Garak-ai/PromptInject)
    7. DeepMind's AI Safety Research Tools

    AI recommended 7 alternatives but never named msoedov/agentic_security. 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 msoedov/agentic_security?
    pass
    AI named msoedov/agentic_security explicitly

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

  • If a team adopts msoedov/agentic_security in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name msoedov/agentic_security — likely talking about a different project

    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 msoedov/agentic_security solve, and who is the primary audience?
    pass
    AI named msoedov/agentic_security explicitly

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

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msoedov/agentic_security — 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