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verl-tool

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@tiger_ai_lab_verl_tool
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A version of verl to support diverse tool use

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

73 daily snapshots · since May 22
#440 249 places over recorded life
May 22Aug 2

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

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

verl-tool 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 4,506 (universal rank #440). 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/tiger_ai_lab_verl_tool/llm-summary or call MCP get_agent_details("tiger_ai_lab_verl_tool").

SCORE4,506
RANK#440
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity68.16GitHub
Docs Quality42Source
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
2 d ago
GitHub repository picked up new stars
4 d ago
GitHub repository picked up new stars
4 d ago
GitHub repository picked up new stars
5 d ago
GitHub repository picked up new stars
8 d ago
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