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Agent Reputation System - Status Report

**Generated:** 2025-02-02 **Version:** Gen 7 (HEF Evolution) **Project:** [home]/Desktop/agent-reputation

Agents That Account for Themselves proposal experiment writeup candidate score 24 .md

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Agent Reputation System - Status Report

Generated: 2025-02-02
Version: Gen 7 (HEF Evolution)
Project: [home]/Desktop/agent-reputation

---

📊 Implementation Status

✅ Fully Implemented Components

Component	File	Status	Description
Trust Bootstrap Engine	`trust-bootstrap.ts`	✅ Complete	Cold-start reputation via calibrated challenges
Prediction Markets	`reputation_markets.py`	✅ Complete	Stake reputation on task outcome predictions
Prediction Markets (TS)	`src/prediction-market.ts`	✅ Complete	TypeScript implementation with trading
Reputation Dynamics	`reputation_dynamics.py`	✅ Complete	Cascade propagation & trajectory tracking
Reputation Lineage	`reputation_lineage.py`	✅ Complete	Hereditary reputation, spawn stakes
Federated Trust	`federated.py`	✅ Complete	Cross-system trust federation
Trust Query Engine	`trust_query_engine.py`	✅ Complete	GraphQL-style reputation queries
Expertise Discovery	`expertise_discovery.py`	✅ Complete	Auto-discover agent skills
Democratic Governance	`democratic_governance.py`	✅ Complete	Agent voting & proposals
Emergent Specialization	`emergent_specialization.py`	✅ Complete	Self-organizing role assignment
Collective Deliberation	`collective_deliberation.py`	✅ Complete	Multi-agent consensus
Adversarial Validation	`adversarial_validation.py`	✅ Complete	Challenge-based trust verification

🔨 Demo Status

Demo	Command	Status
TypeScript Demo	`npm run demo`	✅ Works
Markets Demo	`python3 reputation_markets.py`	✅ Works
Dynamics Demo	`python3 reputation_dynamics.py`	✅ Works

---

🧬 Architecture Overview

┌─────────────────────────────────────────────────────────────────┐
│                    AGENT REPUTATION SYSTEM                       │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│  ┌─────────────────┐   ┌─────────────────┐   ┌───────────────┐  │
│  │ Trust Bootstrap │   │ Prediction      │   │ Reputation    │  │
│  │    Engine       │──▶│ Markets         │──▶│ Trading       │  │
│  │  (Cold-start)   │   │ (Stake/Bet)     │   │ (Buy/Sell)    │  │
│  └─────────────────┘   └─────────────────┘   └───────────────┘  │
│          │                      │                     │          │
│          ▼                      ▼                     ▼          │
│  ┌─────────────────────────────────────────────────────────────┐│
│  │              REPUTATION DYNAMICS ENGINE                      ││
│  │  • Trajectory Tracking (velocity, acceleration)             ││
│  │  • Cascade Propagation (trust ripples)                      ││
│  │  • Phase Detection (rising_star, declining, etc.)           ││
│  │  • Confidence Contagion (uncertainty spreads)               ││
│  └─────────────────────────────────────────────────────────────┘│
│          │                                                       │
│          ▼                                                       │
│  ┌─────────────────┐   ┌─────────────────┐   ┌───────────────┐  │
│  │ Lineage Tree    │   │ Smart Routing   │   │ Network       │  │
│  │ (Hereditary)    │   │ (Task→Agent)    │   │ Health        │  │
│  └─────────────────┘   └─────────────────┘   └───────────────┘  │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

---

📈 Key Metrics (Demo Results)

### Prediction Market Performance
- Market implied probability: 55.6
- Stake utilization: 45 rep across 3 agents
- Routing confidence: 64

### Cascade Propagation
- Events per cascade: ~13 propagation events
- Affected agents: 4 from single origin
- Total delta distributed: 0.321 rep points
- Max generation depth: 2 hops

### Network Health
- Status: Warning (0.587 score)
- Edge density: 9 edges / 6 agents
- Average reputation: 0.698
- Phase distribution: 5 volatile, 1 plateaued

---

🔗 Integration Points

System	Integration Method	Status
sessions_spawn	Sub-agents inherit parent market price	🟡 Planned
Pulse	Task completion feeds prediction markets	🟡 Planned
Dream Weaver	Dreams can become prediction markets	🟡 Planned
Comp-Core	Route to highest-priced experts	🟡 Planned

---

📁 File Structure

agent-reputation/
├── README.md                    # Gen 7 overview
├── package.json                 # Node.js config
├── tsconfig.json                # TypeScript config
├── trust-bootstrap.ts           # Cold-start engine (TS)
├── src/
│   └── prediction-market.ts     # Full market implementation (TS)
├── reputation_markets.py        # Staking & prediction (Python)
├── reputation_dynamics.py       # Trajectories & cascades
├── reputation_lineage.py        # Hereditary reputation
├── federated.py                 # Cross-system federation
├── trust_query_engine.py        # Query interface
├── expertise_discovery.py       # Skill detection
├── democratic_governance.py     # Voting system
├── emergent_specialization.py   # Role emergence
├── collective_deliberation.py   # Consensus building
├── adversarial_validation.py    # Challenge verification
└── docs/                        # Documentation (this folder)

---

🚦 Overall Status

Category	Score	Notes
Code Completeness	95
Demo Functionality	100
Documentation	70
Test Coverage	30
Production Ready	40

Recommendations

1. Add persistence layer - Currently in-memory only
2. Create integration tests - Beyond demo scripts
3. Add API endpoints - REST/GraphQL for external systems
4. Implement rate limiting - Prevent market manipulation
5. Add monitoring - Grafana/Prometheus metrics

Promotion Decision

Attach run IDs, datasets, metrics, and reproduction commands.

Source Anchor

agent-reputation/docs/SYSTEM_STATUS.md

Detected Structure

Method · Evaluation · Code Anchors · Architecture