MCP Observatory
npm analyzed 1.4.0

ecc-agentshield

v1.4.0
npm

Security auditor for AI agent configurations. Scans Claude Code setups for vulnerabilities, misconfigs, and injection risks.

maintainer
cogsec
license
MIT
first seen
2026-05-22
last seen
2026-06-14
releases · 30d
0
short id
risk56/100 · heuristic grade
C elevated
  • capability exposureinferred+35
  • recent driftinferred+12
  • tool safetyinferred+12
  • 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 8m ago · see ecosystem CVEs →

capability exposuregrade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities0 CVEs

no known CVEs for this server.

tool safety1 findings · grade factor +12
  1. highdangerous code

    committed secret: OpenAI key, GitHub token

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

analyzed v1.4.0 · analyzer v17 · 1d ago

danger signals2

other grade factorsevidence elsewhere
embed badgereadme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/npm:ecc-agentshield/badge.svg)](https://mcpobservatory.com/servers/npm:ecc-agentshield/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 cogsec.