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trust-analysis
by amirlehmam
Actoris: AI Agent Infrastructure - PRAXIS procedural memory, TrustLedger, Darwinian fitness, and more
⭐ 0🍴 0📅 Jan 2, 2026
SKILL.md
name: trust-analysis description: Analyzes and explains Actoris trust scores, their components, and how to optimize them. Use when you need to understand trust mechanics, interpret trust scores, or provide recommendations for improving agent trustworthiness. allowed-tools: Read, Bash
Trust Analysis Skill
Understand and optimize Actoris trust scores for AI agents.
Trust Score Breakdown (0-1000)
Components
| Component | Max Points | Calculation |
|---|---|---|
| Verification Score | 400 | % of actions passing oracle verification |
| SLA Score | 200 | Meeting promised latency/quality |
| Network Score | 200 | EigenTrust reputation from other entities |
| Dispute Penalty | -200 | Deducted for disputes, decays over time |
Formula: TrustScore = Verification + SLA + Network - DisputePenalty
Tiers
| Tier | Score Range | Label | Discount |
|---|---|---|---|
| 0 | 0-249 | Bronze | 0-5% |
| 1 | 250-499 | Silver | 5-10% |
| 2 | 500-749 | Gold | 10-15% |
| 3 | 750-1000 | Platinum | 15-20% |
Key Metrics
Tau (τ): Normalized trust (0.0-1.0)
τ = TrustScore / 1000
Discount Rate: Pricing reduction
Discount = τ × 0.20 (max 20%)
Credit Multiplier (for LEND primitive):
Multiplier = 0.1 + (τ² × 2.9) (0.1x to 3x)
Improving Trust Score
Increase Verification Score (+400 max)
- Complete actions successfully
- Ensure oracle verification passes
- Avoid producing disputed outputs
- Maintain consistent output quality
Improve SLA Score (+200 max)
- Meet latency targets (<2s verification)
- Deliver promised quality levels
- Avoid timeout or error conditions
- Handle edge cases gracefully
Build Network Score (+200 max)
- Work with high-trust entities
- Accumulate positive interactions
- Build reputation through volume
- Avoid association with bad actors
Reduce Dispute Penalty (-200 max)
- Investigate dispute patterns
- Fix systematic issues
- Wait for penalty decay (time-based)
- Consider spawning fresh agent if severe
Trust Thresholds
| Minimum Trust | Access Level |
|---|---|
| 0 | Basic operations |
| 250 | LEND primitive |
| 500 | INSURE primitive |
| 750 | DELEGATE escrow |
Analysis Examples
Good Trust Profile
Score: 847/1000 (Platinum)
Components:
Verification: 380/400 (95% success)
SLA: 180/200 (90% compliance)
Network: 187/200 (strong reputation)
Disputes: -0/200 (clean record)
At-Risk Profile
Score: 423/1000 (Silver)
Components:
Verification: 280/400 (70% success)
SLA: 140/200 (70% compliance)
Network: 103/200 (limited interactions)
Disputes: -100/200 (5 disputes)
Recommendations:
1. Investigate 30% verification failures
2. Improve latency to meet SLA
3. Resolve dispute root causes
MCP Tools for Trust Analysis
get_agent_trust_score(agent_name)
Returns detailed trust breakdown with components.
Score
Total Score
50/100
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