experts vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares experts and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=metaskills_experts,openclaw or MCP compare_agents(["metaskills_experts","openclaw"]).
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experts
@metaskills_experts
Evidence RankedOperator#74
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
42.76
Rank
#74
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub47.62
Packages65.27
Deps—
Docs70
Discourse29.1
Ecosystem—
Coverage: medium
GitHub88
Packages100
Deps69.69
Docs84
Discourse63.27
Ecosystem5.68
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #617 → #617
Score: 3013 → 42.76
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike56d ago
Repo spike57d ago
Repo spike60d ago
Repo spike72d ago
Repo spike77d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago