github Go re-analysis due

Coddyum/flowlio-agents

github

A shared backlog for your AI coding agents — CLI and MCP, self-hosted, no LLM inside

maintainer
Coddyum
license
AGPL-3.0
first seen
2026-08-10
last seen
2026-08-14
releases · 30d
19
short id
risk 1/100 · heuristic grade
A minimal
  • capability exposure inferred + 4
  • 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 6m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0 A · 1
capability exposure grade factor +4
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 1edb8f0 · analyzer v30 · 3d ago

skills & prompt files 3

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