Setup & Installation

clawhub install agent-justice-protocol

Or with OpenClaw CLI:

openclaw skills install agent-justice-protocol

What This Skill Does

Agent Justice Protocol is an AI & Machine Learning skill that "Dispute resolution, forensic investigation, and risk assessment for autonomous AI agent transactions. Reconstruct provenance chains, adjudicate fault, generate actuarial risk profiles for agent insurance. The accountability layer of the Agent Trust Stack.".

Agent Justice Protocol (AJP)

You have a dispute resolution and forensic investigation system. Use it when agent-to-agent transactions fail or when you need to investigate what happened.

Setup

pip install agent-justice-protocol

When to Use This Skill

  • When an agent transaction fails and you need to determine what went wrong
  • When asked to investigate an agent's behavior during a specific period
  • When you need risk assessment data for an agent or transaction type
  • When resolving disputes between agents about service quality or delivery

Core Operations

File a Dispute

from agent_justice_protocol import DisputeStore, file_dispute

store = DisputeStore("disputes.jsonl")
file_dispute(
    store=store,
    complainant_id="your-agent-id",
    respondent_id="other-agent-id",
    transaction_id="tx-123",
    category="quality_failure",
    description="Output did not meet agreed quality threshold (0.85 required, 0.62 delivered)",
    evidence_refs=["chain.jsonl#seq-45", "chain.jsonl#seq-52"]
)

Forensic Investigation (Module 1)

Reconstruct the chain of events during a transaction:

from agent_justice_protocol import investigate

report = investigate(
    chain_file="chain.jsonl",
    start_seq=40,
    end_seq=55,
    focus_agent="agent-under-investigation"
)
print(report.timeline)
print(report.findings)

Risk Assessment (Module 3)

Generate actuarial risk profiles:

from agent_justice_protocol import risk_profile

profile = risk_profile(
    dispute_store="disputes.jsonl",
    agent_id="agent-to-assess"
)
print(f"Failure rate: {profile.failure_rate}")
print(f"Severity distribution: {profile.severity_dist}")
print(f"Risk tier: {profile.risk_tier}")

Dispute Categories

Category Description
quality_failure Output below agreed threshold
delivery_failure Missed deadline or non-delivery
misrepresentation Capabilities overstated
security_breach Unauthorized data access or action
billing_dispute Disagreement on cost allocation

Rules

  • Evidence-based. Always reference provenance chain entries as evidence.
  • Privacy-preserving. Evidence scoping rules prevent side-channel attacks — only transaction-relevant entries are disclosed.
  • Proportional. Consequences scale with severity and frequency.

Links


Security & Transparency Disclosure

Product: Agent Justice Protocol Skill for OpenClaw Type: Skill Module Version: 0.1.0 Built by: AB Support / Vibe Agent Making Contact: alex@vibeagentmaking.com

What it accesses:

  • Reads and writes dispute store files (.jsonl) in your working directory
  • Reads provenance chain files for forensic investigation
  • No network access for core operations
  • No telemetry, no phone-home, no data collection

What it cannot do:

  • Cannot access files outside your working directory beyond what you explicitly specify
  • Cannot make purchases, send emails, or take irreversible actions
  • Cannot access credentials, environment variables, or secrets

License: Apache 2.0

Version History

Latest version: 0.1.1

First published: Apr 2, 2026. Last updated: Apr 5, 2026.

2 versions released.

Frequently Asked Questions

Is Agent Justice Protocol free to use?
Yes. Agent Justice Protocol is a free, open-source skill available on the OpenClaw Skills Registry.
What platforms does Agent Justice Protocol support?
It runs on any platform that supports OpenClaw, including macOS, Linux, and Windows.