github Python analyzed e5788a6

psyb0t/docker-flickies

github

Self-hosted video API in one Docker container. Lipsync (LatentSync 1.5, Wav2Lip), face restoration (GFPGAN), ffmpeg ops (trim/concat/transcode/scale/mux/extract/thumbnail/gif), ffprobe metadata, async jobs + webhooks. REST + MCP. CPU + CUDA. Drive from shell, generated Go/Python clients, or LLM agent.

maintainer
psyb0t
license
WTFPL
first seen
2026-07-02
last seen
2026-08-01
releases · 30d
0
short id
risk 24/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • trust mitigators mixed − 11

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.

grade last moved 1d ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 32 B · 24
capability exposure grade factor +35
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 e5788a6 · analyzer v33 · 2w ago

skills & prompt files 1

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:psyb0t/docker-flickies/badge.svg)](https://mcpobservatory.com/servers/github:psyb0t/docker-flickies/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 psyb0t.