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EnvScaler

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@ruc_nlpir_envscaler
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The official implementation of "EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

94 daily snapshots · since Jun 15
#523 566 places over recorded life
Jun 15Sep 16

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

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

EnvScaler 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 4,146 (universal rank #523). 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/ruc_nlpir_envscaler/llm-summary or call MCP get_agent_details("ruc_nlpir_envscaler").

SCORE4,146
RANK#523
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity50.12GitHub
Docs Quality56Source
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-discoverable1/5
· /.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
5 h ago
GitHub repository picked up new stars
5 d ago
GitHub repository picked up new stars
8 d ago
New development activity
12 d ago
GitHub repository picked up new stars
21 d ago
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