github Python analyzed 8e0bc96

Intellimetrics/llm-council

github

Lightweight read-only multi-agent council for coding CLIs

maintainer
Intellimetrics
license
MIT
first seen
2026-07-20
last seen
2026-07-20
releases · 30d
6
short id
risk 56/100 · heuristic grade
C elevated
  • capability exposure inferred + 35
  • recent drift inferred + 12
  • tool safety inferred + 12
  • trust mitigators mixed − 3

inferred mixed

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 4m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 32 C · 56
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. high dangerous code

    committed secret: Anthropic key, GitHub token · dynamic exec: __import__ sink

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

analyzed commit 8e0bc96 · analyzer v28 · 3h ago

skills & prompt files 1

danger signals4

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:Intellimetrics/llm-council/badge.svg)](https://mcpobservatory.com/servers/github:Intellimetrics/llm-council/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 Intellimetrics.