QuantClaw Model Card
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QuantClaw Model Card
| Field | Value |
|---|---|
| Repository | QuantClaw/QuantClaw |
| Category | Quantitative Agent Harness Runtime |
| Stars / forks snapshot | 31 / 5 |
| Language | C++ |
| License | Apache-2.0 |
| Raw capture | raw-github/quantclaw_quantclaw.md |
| Updated by | hourly public metadata update, 2026-05-28 10:00 +0800 |
1. Role in Self Evolve
QuantClaw is an autonomous quantitative agent runtime built around OpenClaw-style agent workflows for market analysis and execution tasks. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
market data ingestion -> autonomous analysis and execution planning -> tool and strategy orchestration -> runtime feedback loop for quantitative task workflows
3. Evidence Path
web-observed GitHub page showed 31 stars, 5 forks, 388 commits, Apache-2.0 license, and README claims around a quantitative-agent system architecture. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Quantitative Agent Harness Runtime: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.