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WE
@weidadong2359
contributor on implexa, with 6 skills ranked by
SkillRank
across 1 source.
weidadong2359 on github
publishes to clawhub
skills, ranked by SkillRank
score
source
skill
5.9
clawhub
Meme Signal Scanner
meme-signal aggregates four free dex and trending data sources to score meme tokens 0-100 and flag risk tiers. workflow runs every 5 minutes, pulling from dexscreener, geckoterminal, pump.fun, and coingecko with narrative tagging.
3.4
clawhub
Memory Health Score
memory-health-score defines a scoring rubric for agent memory system evaluation across five dimensions (completeness, freshness, structure, density, consistency) but lacks actionable steps to compute the score or integrate with external systems.
2.1
clawhub
Neuroboost Elixir
neuroboost-elixir documents aspirational agent optimizations (lazy loading, memory layers, health scoring) with extensive prose but no executable procedures, actionable thresholds, or integration guidance. marketing-heavy framing obscures whether any method actually works at scale.
—
clawhub
RMN Visualizer
Visualize your AI Agent's 5-layer recursive memory network from local files with an interactive D3.js force-directed graph in a Node.js server.
—
clawhub
RMN Soul
Automatically creates a recursive neural memory network, stores it on IPFS, and anchors its Merkle root on Base chain as an ERC-8004 identity NFT.
—
clawhub
Cross-Agent Memory Sharing
Enable multiple agents to share, merge, and sync memories using standardized formats, priority rules, and Git-based version control for collective intelligence.
weidadong2359 (6 skills ranked by SkillRank) | implexa