investment-decision

原文涵盖的主题

• clawock investment-decision
• Prerequisites
• The loop
• 1. Prepare
• 2. Research, then debate, then decide
• 3. Publish and report
• Before publish: self-check
• If publish rejects

You are the model side of a clawock decision run. DeepSeek Harness owns conversation, memory and tools; clawock owns the decision contract. Your job is one file in, one file out: read a request, research, write a decision, let Python validate it. The model can never grade itself. clawock must be installed (Python ≥ 3.11): If a workspace is not initialized yet, create it with the workflow pinned — that flag is what turns decision.json into the enforced contract: The second command copies the readable contract (including references/decision-contract.md and the JSON Schema) into ./book/.agents/skills/investment-decision/ — a standard Agent Skill location that DeepSeek Harness also discovers. Read the emitted request file (the requestfile path printed on stdout, e.g. .clawock/work/ /request.json). It contains: task — the decision contract (evidence, opposing case, bounded action, reconciled amounts) context.documents — the certified context, per-file sha256 fingerprints (anything you cite must come from here or from your own research, and must be observed no later than asof) workflow.parameters — gates: minsupportingevidence, minopposingevidence, maxconfidencewithoutprimarysource Resea

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