REPOGEO REPORT · LITE
evilsocket/nerve
Default branch main · commit 3c8b9c35 · scanned 5/27/2026, 11:22:01 PM
GitHub: 1,321 stars · 113 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 evilsocket/nerve, 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#1Add a disambiguation statement to the README
Why:
COPY-PASTE FIXAdd the following sentence immediately after the main description in the README: "Note: This project, `evilsocket/nerve`, is an Agent Development Kit for LLM-based agents and is distinct from other projects sharing the 'nerve' name (e.g., for service discovery)."
- highhomepage#2Set the repository homepage URL
Why:
COPY-PASTE FIXSet the `homepage` URL in the repository settings to `https://github.com/evilsocket/nerve/blob/main/docs/index.md` (or a dedicated project website if one exists).
- mediumlicense#3Clarify the project's license in the README
Why:
COPY-PASTE FIXAdd a section to the README (e.g., under 'About' or 'Contributing') stating: "This project is licensed under the terms detailed in the `LICENSE.md` file."
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 2×
- LlamaIndex · recommended 2×
- CrewAI · recommended 2×
- Marvin · recommended 2×
- Autogen · recommended 1×
- CATEGORY QUERYHow can I declaratively define and run LLM-based agents using simple configuration files?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- CrewAI
- Autogen
- Marvin
AI recommended 5 alternatives but never named evilsocket/nerve. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best frameworks for orchestrating AI agents with custom tools and shell commands?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Haystack
- AutoGPT
- BabyAGI
- SuperAGI
- CrewAI
- Open Interpreter
- Marvin
AI recommended 9 alternatives but never named evilsocket/nerve. 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 evilsocket/nerve?passAI named evilsocket/nerve explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts evilsocket/nerve in production, what risks or prerequisites should they evaluate first?passAI named evilsocket/nerve 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 evilsocket/nerve solve, and who is the primary audience?passAI named evilsocket/nerve 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 evilsocket/nerve. 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/evilsocket/nerve)<a href="https://repogeo.com/en/r/evilsocket/nerve"><img src="https://repogeo.com/badge/evilsocket/nerve.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
evilsocket/nerve — 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