MCP Observatory
github re-analysis due

gjczone/pi-shazam

github

A native codebase awareness extension for the Pi coding agent that delivers analysis tools and hooks for AI agents, and also enables non‑Pi agents (via MCP, e.g., Cursor, Claude Code, Kimi‑code, Trae, Qoder, Codebuddy) to achieve full tool support like pi‑shazam.

maintainer
gjczone
license
—
first seen
2026-06-07
last seen
2026-06-16
releases · 30d
46
short id
risk 13/100 · heuristic grade
A minimal
  • capability exposureinferred+16
  • trust mitigatorsmixed−3

inferredmixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 7m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 27 → A · 13
capability exposure grade factor +16
Inferred surface — each links to servers holding it:
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.

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit cdf18c5 · analyzer v17 · 3d ago

skills & prompt files 2

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