⚠️ Agent Behaviour: Risk Scoring

This module defines how agents should interpret and act on risk_score, safety_tier, and flags fields in .llmfeed.json feeds.

Risk scoring helps agents make safer, more transparent decisions when consuming and acting upon feeds.

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🎛️ Typical Risk Fields

Example fields an agent may encounter:

"risk_score": 0.8,
"safety_tier": "high-risk",
"flags": ["potentially misleading", "unverified origin"]

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🚦 Agent Behaviour Rules

Agents SHOULD apply the following logic:

Field	Action
risk_score > 0.7	Warn user or restrict critical actions
risk_score > 0.9	REJECT feed or require explicit override
safety_tier = high-risk	Display warning and restrict sensitive capabilities
flags contains critical flag (ex: unverified origin)	Highlight, warn, and possibly reject

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🛠️ Example Agent Policy

Agents MAY allow configuration of risk thresholds:

"agent_policy": {
  "max_acceptable_risk_score": 0.7,
  "reject_on_flags": ["unverified origin", "potentially misleading"]
}

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🧩 Propagation to UI

Agents SHOULD propagate risk indicators to their UI:

• Show risk badges or color indicators.
• Provide risk explanations to the user.
• Disable or gate sensitive capabilities based on risk.

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📡 Summary

Risk scoring enables agents to:

✅ Make context-aware decisions
✅ Warn users when needed
✅ Adapt behaviour based on feed trust signals

A consistent risk handling policy is essential for building a safe and transparent Agentic Web.

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