rea vs de-anthropocentric-research-engine

Side-by-side AI skills comparison

rea

morluto

de-anthropocentric-research-engine

yogsoth-ai

Stars

368,736

504

Forks

92,380

Which one should you choose?

A quick summary based on popularity, adoption, and available skill metadata.

rea has stronger GitHub popularity based on stars, while de-anthropocentric-research-engine has fewer forks. Use these signals as indicators of community interest rather than a measure of which skill is objectively better.

Neither project currently includes a SKILL.md file.

Choose the one that better matches your workflow, repository activity, and the specific capabilities described above.

View rea View de-anthropocentric-research-engine

Topics

agent-skillsai-agentsbinary-analysisclaude-codeclicodexcordisdecompilerdeveloper-toolsdshdsh-pluginghidrahopperllmmcpmodel-context-protocolreareverse-engineeringstatic-analysistouhou

academic-researchagent-native-research-artifactai-scientistauto-researchautonomous-researchautoresearch

Description

Reverse engineer anything with agents, from app behavior down to native binaries.

A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.