How do I install the Trust Protocol skill?

Run npx skillmds@latest add demerzels-lab/trust-protocol in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Trust Protocol skill do?

Agent Trust Protocol (ATP) It is listed under AI & ML on SkillMD.

Is Trust Protocol safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Trust Protocol?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Trust Protocol free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Trust Protocol?

Demerzels-lab (@demerzels-lab) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Trust Protocol by demerzels-lab — Agent Skill

Name: Trust Protocol
Author: Demerzels-lab

File contents

Agent Trust Protocol (ATP)

Establish, verify, and maintain trust between AI agents. Bayesian trust scoring with domain-specific trust, revocation, forgetting curves, and a visual dashboard.

Install

git clone https://github.com/FELMONON/trust-protocol.git
# No dependencies beyond Python 3.8+ stdlib
# Pair with skillsign for identity: https://github.com/FELMONON/skillsign

Quick Start

# Add an agent to your trust graph
python3 atp.py trust add alpha --fingerprint "abc123" --score 0.7

# Record interactions — trust evolves via Bayesian updates
python3 atp.py interact alpha positive --note "Delivered clean code"
python3 atp.py interact alpha positive --domain code --note "Tests passing"

# Check trust
python3 atp.py trust score alpha
python3 atp.py trust domains alpha

# View the full graph
python3 atp.py status
python3 atp.py graph export --format json

# Run the full-stack demo (identity → trust → dashboard)
python3 demo.py --serve

Commands

Trust Management

atp.py trust add <agent> --fingerprint <fp> [--domain <d>] [--score <0-1>]
atp.py trust list
atp.py trust score <agent>
atp.py trust remove <agent>
atp.py trust revoke <agent> [--reason <reason>]
atp.py trust restore <agent> [--score <0-1>]
atp.py trust domains <agent>

Interactions

atp.py interact <agent> <positive|negative> [--domain <d>] [--note <note>]

Challenge-Response

atp.py challenge create <agent>
atp.py challenge respond <challenge_file>
atp.py challenge verify <response_file>

Graph

atp.py graph show
atp.py graph path <from> <to>
atp.py graph export [--format json|dot]
atp.py status

Dashboard

python3 serve_dashboard.py          # localhost:8420
python3 demo.py --serve             # full demo + dashboard

Moltbook Integration

python3 moltbook_trust.py verify <agent>    # check agent trust via Moltbook profile

How Trust Works

Bayesian updates: Each interaction shifts trust scores with diminishing deltas (prevents thrashing)
Negativity bias: Negative interactions hit harder than positive ones boost
Domain-specific: Trust an agent for code but not for security advice
Forgetting curves: Trust decays without interaction (R = e^(-t/S))
Revocation: Immediate drop to floor, restorable at reduced score
Transitive trust: If you trust A and A trusts B, you partially trust B (with decay)

Integration with skillsign

ATP builds on skillsign for identity:

Agents generate ed25519 keypairs with skillsign
Agents sign skills, others verify signatures
Verified agents get added to the ATP trust graph
Interactions update trust scores over time

Triggers

"check trust", "trust score", "trust graph", "verify agent", "agent trust", "trust status", "who do I trust", "trust report"

---name: trust-protocoldescription: Agent Trust Protocol (ATP)---# Agent Trust Protocol (ATP)Establish, verify, and maintain trust between AI agents. Bayesian trust scoring with domain-specific trust, revocation, forgetting curves, and a visual dashboard.## Install```bashgit clone https://github.com/FELMONON/trust-protocol.git# No dependencies beyond Python 3.8+ stdlib# Pair with skillsign for identity: https://github.com/FELMONON/skillsign```## Quick Start```bash# Add an agent to your trust graphpython3 atp.py trust add alpha --fingerprint "abc123" --score 0.7# Record interactions — trust evolves via Bayesian updatespython3 atp.py interact alpha positive --note "Delivered clean code"python3 atp.py interact alpha positive --domain code --note "Tests passing"# Check trustpython3 atp.py trust score alphapython3 atp.py trust domains alpha# View the full graphpython3 atp.py statuspython3 atp.py graph export --format json# Run the full-stack demo (identity → trust → dashboard)python3 demo.py --serve```## Commands### Trust Management```bashatp.py trust add <agent> --fingerprint <fp> [--domain <d>] [--score <0-1>]atp.py trust listatp.py trust score <agent>atp.py trust remove <agent>atp.py trust revoke <agent> [--reason <reason>]atp.py trust restore <agent> [--score <0-1>]atp.py trust domains <agent>```### Interactions```bashatp.py interact <agent> <positive|negative> [--domain <d>] [--note <note>]```### Challenge-Response```bashatp.py challenge create <agent>atp.py challenge respond <challenge_file>atp.py challenge verify <response_file>```### Graph```bashatp.py graph showatp.py graph path <from> <to>atp.py graph export [--format json|dot]atp.py status```### Dashboard```bashpython3 serve_dashboard.py # localhost:8420python3 demo.py --serve # full demo + dashboard```### Moltbook Integration```bashpython3 moltbook_trust.py verify <agent> # check agent trust via Moltbook profile```## How Trust Works- **Bayesian updates**: Each interaction shifts trust scores with diminishing deltas (prevents thrashing)- **Negativity bias**: Negative interactions hit harder than positive ones boost- **Domain-specific**: Trust an agent for code but not for security advice- **Forgetting curves**: Trust decays without interaction (R = e^(-t/S))- **Revocation**: Immediate drop to floor, restorable at reduced score- **Transitive trust**: If you trust A and A trusts B, you partially trust B (with decay)## Integration with skillsignATP builds on [skillsign](https://github.com/FELMONON/skillsign) for identity:1. Agents generate ed25519 keypairs with skillsign2. Agents sign skills, others verify signatures3. Verified agents get added to the ATP trust graph4. Interactions update trust scores over time## Triggers"check trust", "trust score", "trust graph", "verify agent", "agent trust", "trust status", "who do I trust", "trust report"

Frequently asked questions

Trust Protocol