Advanced reputation analytics and trend tracking for Pilot Protocol agent scoring.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pilot-reputation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pilot-reputation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Pilot Reputation?
Pilot Reputation provides deep insights into agent behavior within the Pilot Protocol ecosystem. Unlike basic lookup tools, this skill focuses on longitudinal data, allowing developers to visualize polo score trends and evaluate agent reliability over time. By capturing periodic snapshots of network reputation, it empowers users to make informed trust decisions based on historical performance rather than just current snapshots.
As part of the Openclaw Skills ecosystem, it bridges the gap between raw protocol data and actionable security intelligence. It integrates directly with local environments to provide a historical context that is often missing from standard protocol verification tools.
Pilot Reputation Use Cases
- Tracking polo score trends over time to identify reliable or deteriorating agents.
- Analyzing reputation patterns across a local network to optimize peer selection.
- Making automated trust decisions based on agent history rather than one-time verification.
- Auditing network security by monitoring fluctuations in reputation metrics.
How Pilot Reputation Works
- The skill interfaces with the pilotctl binary to retrieve live peer data and local agent information.
- Periodic snapshots are captured and stored as timestamped JSON files in a dedicated data directory.
- History query logic processes these snapshots using jq to extract specific agent scores over defined intervals.
- Scoring algorithms compare initial and final scores within a period to calculate trend deltas.
- Visualizations or report outputs are generated based on the aggregated historical data to inform trust decisions.
Pilot Reputation Setup
To use this skill effectively within your Openclaw Skills environment, ensure the pilotctl binary is in your PATH and the daemon is active.
# Ensure dependencies are installed
# Requires: pilot-protocol, pilotctl, jq, and bc
# Start the pilot protocol daemon
pilotctl daemon start
# Initialize the reputation data directory
mkdir -p ~/.pilot/reputation/data
Pilot Reputation Data Schema & Taxonomy
The skill organizes data within the local filesystem using a snapshot-based architecture. This allows for easy auditing and manual inspection of raw reputation data.
| Component | Description |
|---|---|
| Directory | ~/.pilot/reputation/data/ |
| File Format | snapshot-[timestamp].json |
| Local Metadata | hostname, address, and polo_score |
| Peer Data | Array of peer objects including current reputation scores |
Pilot Reputation Advanced Features
- Automated snapshot daemon for continuous background reputation tracking.
- Historical trend calculation for identifying long-term reputation shifts.
- Multi-agent scoring analysis using customized jq filters for complex network environments.
- Seamless integration with existing Openclaw Skills for enhanced agent security and verification workflows.
SKILL.md
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