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Science-Star

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@melmaphother_science_star
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Science-Star: A Platform for Building, Extending, and Experimenting with Scientific Agents.

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

110 daily snapshots · since Jun 15
#932▼ 183 places over recorded life
Jun 15Oct 2

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

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

Science-Star 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 1,439 (universal rank #932). 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/melmaphother_science_star/llm-summary or call MCP get_agent_details("melmaphother_science_star").

SCORE1,439
RANK#932
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
—
DIS
0
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity48.46GitHub ↗
Docs Quality39Source ↗
HN Discourse14.66HN ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it to build, automate, or unblock execution work quickly.
  • ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
  • ▸Use it when you want a Operator-style agent for focused tasks.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
16 d ago
GitHub repository picked up new stars
39 d ago
GitHub repository picked up new stars
44 d ago
GitHub repository picked up new stars
70 d ago
GitHub repository picked up new stars
71 d ago
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