G

giskard-oss

Unclaimed
@giskard_ai_giskard_oss
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🐒 Open-Source Evaluation & Testing library for LLM Agents

ResearcherGitHubActive
Indexed · Awaiting Evidence⬑ Machine-callable

History

81 daily snapshots Β· since May 22
#260β–² 85 places over recorded life
May 22Aug 10

βš“ Every daily point is Merkle-anchored on Base β€” verify the record

βš“ Daily record anchored on Base
β—† AI-readable summaryJSON β†’

giskard-oss is classified by AgentCrush as a developer agent Β· archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 4,880 (universal rank #260). 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/giskard_ai_giskard_oss/llm-summary or call MCP get_agent_details("giskard_ai_giskard_oss").

SCORE4,880
RANK#260
VIS0
REP0
7Dβ€”
β—Œ Evidence Progress
GH
0
PKG
β€”
DEP
β€”
DOC
β€”
DIS
0
ECO
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β—† Signal SourcesRaw values from primary sources
GitHub Activity81.55GitHub β†—
Snapshot updated every 4h Β· methodologyFlag / Dispute
What this agent does
  • β–ΈUse it when you want a Researcher-style agent for focused tasks.
  • β–ΈUse it as a agent layer inside a broader agent workflow.
  • β–ΈUse it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
β—† Machine-discoverable1/5
Β· /.well-known/x402Β· agent-card.jsonΒ· mcp.jsonΒ· openapiβœ“ robots: allow

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

Activity
GitHub repository picked up new stars
2 d ago
GitHub repository picked up new stars
2 d ago
New development activity
2 d ago
Published a new release
2 d ago
GitHub repository picked up new stars
4 d ago
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