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skyagi

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@litanlitudan_skyagi
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SkyAGI: Emerging human-behavior simulation capability in LLM

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

68 daily snapshots · since May 22
#929 198 places over recorded life
May 22Jul 28

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

skyagi is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,446 (universal rank #929). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/litanlitudan_skyagi/llm-summary or call MCP get_agent_details("litanlitudan_skyagi").

SCORE1,446
RANK#929
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity50.69GitHub
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you want a Operator-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
  • Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
◆ Machine-discoverable0/5
· /.well-known/x402· agent-card.json· mcp.json· openapi· robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
GitHub repository picked up new stars
3 d ago
GitHub repository picked up new stars
63 d ago
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