Add AgentReputationSkill for multi-dimensional agent trust scoring#153
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lbartoszcze merged 1 commit intomainfrom Feb 8, 2026
Merged
Add AgentReputationSkill for multi-dimensional agent trust scoring#153lbartoszcze merged 1 commit intomainfrom
lbartoszcze merged 1 commit intomainfrom
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…and trust New skill that maintains multi-dimensional reputation scores for agents, computed from task delegation outcomes, consensus voting history, and peer endorsements. This is the foundation for trust-based coordination between replicas and reputation-weighted consensus voting. Reputation dimensions (0-100, start at 50 neutral): - Competence: task success rate + budget efficiency - Reliability: on-time delivery, timeout avoidance - Trustworthiness: voting consistency, honesty - Leadership: election wins, role performance - Cooperation: conflict resolution, consensus participation 10 actions: record_event, get_reputation, get_leaderboard, compare, record_task_outcome, record_vote, endorse, penalize, get_history, reset Key features: - Task outcomes affect competence + reliability with budget efficiency bonus - Voting participation boosts cooperation; correct votes boost trustworthiness - Peer endorsements weighted by endorser's own reputation (0.5x to 1.5x) - Leaderboard ranking by any dimension with min-events filtering - Side-by-side agent comparison across all dimensions - Also fixes f-string syntax error in service_api.py from PR #152 18 tests pass, 17 smoke tests pass. Pillar: Replication + Self-Improvement Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
Pillar
Replication + Self-Improvement - Enables trust-based coordination between replicas and self-awareness of performance
Key Features
Test plan
🤖 Generated with Claude Code