RRepoGEO

REPOGEO REPORT · LITE

FunnyWolf/Viper

Default branch master · commit 75004bf1 · scanned 5/19/2026, 9:37:08 PM

GitHub: 5,043 stars · 668 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
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 FunnyWolf/Viper, 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 core value proposition to the top of README

    Why:

    CURRENT
    The current README starts with navigation links and badges, followed by the core description.
    COPY-PASTE FIX
    Move the core description: '**VIPER** is a powerful and flexible red team platform. It integrates the core tools and functionalities required for adversary simulation and red team operations, assisting you in efficiently completing cybersecurity assessment tasks.' to be the absolute first text in the README, before any links or badges.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Choose a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals and community expectations.
  • mediumabout#3
    Refine the 'About' description for clarity and keyword reinforcement

    Why:

    CURRENT
    Adversary simulation and Red teaming platform with AI
    COPY-PASTE FIX
    AI-powered adversary simulation and red teaming platform for intelligent operations, post-exploitation, and cybersecurity assessment.

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 FunnyWolf/Viper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mandiant Advantage Automated Defense
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mandiant Advantage Automated Defense · recommended 1×
  2. Picus Security Platform · recommended 1×
  3. SafeBreach · recommended 1×
  4. Cymulate · recommended 1×
  5. SCYTHE · recommended 1×
  • CATEGORY QUERY
    What are the best AI-powered platforms for adversary simulation and red team operations?
    you: not recommended
    AI recommended (in order):
    1. Mandiant Advantage Automated Defense
    2. Picus Security Platform
    3. SafeBreach
    4. Cymulate
    5. SCYTHE

    AI recommended 5 alternatives but never named FunnyWolf/Viper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a flexible red team platform for post-exploitation and intelligent agent management.
    you: not recommended
    AI recommended (in order):
    1. Cobalt Strike
    2. Mythic (MythicC2Profile/Mythic)
    3. Sliver C2 (BishopFox/sliver)
    4. Brute Ratel C4
    5. Nighthawk

    AI recommended 5 alternatives but never named FunnyWolf/Viper. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 FunnyWolf/Viper?
    pass
    AI named FunnyWolf/Viper explicitly

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

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

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

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MARKDOWN (README)
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FunnyWolf/Viper — 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