REPOGEO REPORT · LITE
SJTU-IPADS/SkVM
Default branch main · commit cee505c4 · scanned 6/13/2026, 3:26:58 AM
GitHub: 506 stars · 49 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 SJTU-IPADS/SkVM, 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.
- hightopics#1Add specific topics to clarify project domain
Why:
CURRENT(none)
COPY-PASTE FIXllm, agent-skills, virtual-machine, compilation, runtime, ai, machine-learning, nlp, language-models, agentic-ai
- highreadme#2Reinforce README's opening to counter AI misinterpretation of 'Virtual Machine'
Why:
COPY-PASTE FIXAdd this sentence right after the H1: "SkVM is a specialized runtime, not a system-level virtual machine, designed exclusively for the compilation and execution of AI agent skills across diverse Large Language Models."
- mediumhomepage#3Add the official project homepage URL
Why:
CURRENT(none)
COPY-PASTE FIXhttps://[YOUR_PROJECT_WEBSITE_URL]
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.
- LangChain · recommended 1×
- LlamaIndex · recommended 1×
- Haystack · recommended 1×
- OpenAI Functions / Tool Calling · recommended 1×
- Pydantic · recommended 1×
- CATEGORY QUERYHow to make LLM agent skills portable across different models and execution environments?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Haystack
- OpenAI Functions / Tool Calling
- Pydantic
- Docker
- Kubernetes
- FastAPI
- Flask
AI recommended 9 alternatives but never named SJTU-IPADS/SkVM. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools optimize compilation and runtime performance for large language model agent skills?you: not recommendedAI recommended (in order):
- NVIDIA TensorRT
- OpenVINO
- ONNX Runtime
- DeepSpeed
- PyTorch's `torch.ao.quantization`
- TensorFlow's `tf.quantization`
- Apache TVM
- Hugging Face Optimum
AI recommended 8 alternatives but never named SJTU-IPADS/SkVM. 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 SJTU-IPADS/SkVM?passAI named SJTU-IPADS/SkVM explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts SJTU-IPADS/SkVM in production, what risks or prerequisites should they evaluate first?passAI named SJTU-IPADS/SkVM 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 SJTU-IPADS/SkVM solve, and who is the primary audience?passAI named SJTU-IPADS/SkVM explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of SJTU-IPADS/SkVM. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/SJTU-IPADS/SkVM)<a href="https://repogeo.com/en/r/SJTU-IPADS/SkVM"><img src="https://repogeo.com/badge/SJTU-IPADS/SkVM.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
SJTU-IPADS/SkVM — 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