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msradam/kassi

github

An AI agent that load-tests a code change, finds the regression in Splunk, and writes the fix. A model-agnostic, audited state machine over MCP, orchestrating the Grafana k6 and official Splunk MCP servers; any tool-calling model drives it, down to a local 8B. The agent publishes its own walk back to Splunk.

maintainer
msradam
license
Apache-2.0
first seen
2026-06-14
last seen
2026-06-16
releases · 30d
0
short id
risk insufficient evidence

Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.

Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.

graded 10m ago · see ecosystem CVEs →

vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:msradam/kassi/badge.svg)](https://mcpobservatory.com/servers/github:msradam/kassi/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of msradam.