Free cognitive-bias Agent Skill
Use Loss Aversion as a focused cognitive-bias lens. Explain the pattern, check whether it plausibly fits the situation, surface an alternative non-bias explanation, and return a practical counter-check without diagnosing people or claiming causation.
What the agent should do
Loss Aversion is the idea that, relative to a reference point, a loss can receive more subjective weight than an equivalent gain. It is an important part of prospect theory, but it should not be treated as a universal rule or as a fixed claim that every loss always counts twice as much as a gain.
Install
Hermes Agent
mkdir -p ~/.hermes/skills/bias-prospect-theory-loss-aversion && curl -fsSL https://cognitive-biases.github.io/agent-skills/bias-prospect-theory-loss-aversion/SKILL.md -o ~/.hermes/skills/bias-prospect-theory-loss-aversion/SKILL.mdOpenClaw
mkdir -p ~/.openclaw/workspace/skills/bias-prospect-theory-loss-aversion && curl -fsSL https://cognitive-biases.github.io/agent-skills/bias-prospect-theory-loss-aversion/SKILL.md -o ~/.openclaw/workspace/skills/bias-prospect-theory-loss-aversion/SKILL.mdOther Agent Skills-compatible tools
Download SKILL.md and put it in the skill directory or import surface supported by your agent.
Boundary
The skill must preserve uncertainty, surface a non-bias explanation and avoid turning a cognitive-bias label into a claim about a person's motives, intelligence or mental health.