REPOGEO REPORT · LITE
Armur-Ai/Pentest-Swarm-AI
Default branch main · commit 2d17a849 · scanned 5/17/2026, 9:11:53 PM
GitHub: 1,139 stars · 246 forks
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 Armur-Ai/Pentest-Swarm-AI, 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.
- highreadme#1Reorder README introduction to lead with current pentesting capabilities
Why:
CURRENTThe section "Built for the Mythos era" immediately follows the H1 and subtitle, discussing future models before current capabilities.
COPY-PASTE FIXImmediately after the H1 and subtitle, add a concise sentence that clearly states its current function and AI integration. For example: "Pentest Swarm AI is an open-source, AI-driven penetration testing tool that orchestrates a swarm of agents for recon, exploitation, and reporting, compatible with current LLMs like Claude Sonnet, Opus, Llama, and OpenAI-compatible models." This sentence should precede the "Built for the Mythos era" section.
- highhomepage#2Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIXA valid URL for the project's homepage (e.g., `https://armur.ai/pentest-swarm-ai` or similar) should be added to the repository's 'About' section.
- mediumreadme#3Emphasize current LLM compatibility and supported security tools in README
Why:
CURRENT"Wire in the model of your choice today — Claude Sonnet, Opus, Llama, anything OpenAI-compatible — and swap in Mythos the day access opens." is placed after the "Built for the Mythos era" section.
COPY-PASTE FIXCreate a dedicated "Key Features" or "Capabilities" section early in the README, listing current LLM compatibility and integrated security tools as distinct bullet points. For example: "### Key Features * **AI-Powered Pentesting:** Orchestrates autonomous AI agents for recon, classification, exploitation, and reporting. * **Broad LLM Compatibility:** Supports current models like Claude Sonnet, Opus, Llama, and any OpenAI-compatible LLM. * **Integrated Security Tools:** Leverages 7+ native security tools including nmap, sqlmap, Burp, ZAP, and Metasploit."
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.
- OpenAI GPT-4 / GPT-3.5 · recommended 1×
- langchain-ai/langchain · recommended 1×
- run-llama/llama_index · recommended 1×
- Llama 2 · recommended 1×
- Mixtral · recommended 1×
- CATEGORY QUERYHow to automate full penetration testing workflows using multiple AI agents?you: not recommendedAI recommended (in order):
- OpenAI GPT-4 / GPT-3.5
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- Llama 2
- Mixtral
- Hugging Face Transformers (huggingface/transformers)
- vLLM (vllm-project/vllm)
- NVIDIA Triton Inference Server (triton-inference-server/server)
- AWS Bedrock
- Google Cloud Vertex AI
- Metasploit Framework (rapid7/metasploit-framework)
- Nuclei (projectdiscovery/nuclei)
- Nessus
- OpenVAS (greenbone/openvas)
- Burp Suite
- Nmap
AI recommended 16 alternatives but never named Armur-Ai/Pentest-Swarm-AI. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed an AI-driven system for continuous security monitoring and bug bounty program support.you: not recommendedAI recommended (in order):
- HackerOne Clear
- Snyk
- CrowdStrike Falcon
- Wiz
- Qualys
- SentinelOne Singularity Platform
AI recommended 6 alternatives but never named Armur-Ai/Pentest-Swarm-AI. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 Armur-Ai/Pentest-Swarm-AI?passAI named Armur-Ai/Pentest-Swarm-AI explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts Armur-Ai/Pentest-Swarm-AI in production, what risks or prerequisites should they evaluate first?passAI named Armur-Ai/Pentest-Swarm-AI 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 Armur-Ai/Pentest-Swarm-AI solve, and who is the primary audience?passAI named Armur-Ai/Pentest-Swarm-AI explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
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Armur-Ai/Pentest-Swarm-AI — 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