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Track falsifiable predictions and compare them against real outcomes over time.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.commet/argus-decision-mcp" MCP server from askskill: Run: claude mcp add 'io-github-commet-argus-decision-mcp' -- npx -y argus-decision-mcp
Product managers, researchers, or analysts can turn a judgment into a falsifiable prediction before acting, then record what actually happened afterward to reduce hindsight bias.
When a team wants to review whether a forecast was accurate, this tool pairs the prediction with the real outcome so evaluation is grounded in facts rather than impressions.
It saves falsifiable predictions and later records what actually happened in reality. Its core idea is that reality grades the prediction, not the model.
It suits situations where you make judgments and later review them, such as product decisions, research hypotheses, or tracking forecasts with data. It emphasizes verifiability and comparison with outcomes.
The provided material does not include installation steps, runtime requirements, or key requirements. See the source repository for details.
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