Variance Log
This variance logging tool for MCP, developed by truaxki, analyzes statistical variations in conversation structures and logs unusual events to a SQLite database. Built with Python and leveraging the MCP library, it provides an automated way to detect anomalies in AI interactions. The implementation focuses on identifying and recording deviations from expected conversation patterns, with configurable thresholds for what constitutes an 'unusual' event. It's particularly useful for researchers and developers working on AI safety and alignment, enabling use cases like monitoring model behavior, detecting potential instabilities or biases, and gathering data for further analysis of AI communication patterns.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/truaxki/mcp-variance-log
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Variance Log from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.