github Python analyzed · update queued a9d2161

skynetcmd/m3-memory

v2026.8.19.16
github

Local-first Memory Framework for AI Agents · 99.2% LongMemEval-S retrieval @ k=10 · Supports Claude · Antigravity · LangChain · Hermes · Gemini · OpenCode · OpenClaw · MCP-native and plugins · Hybrid search (FTS5 + vector + MMR) · GDPR · FIPS 140-3 ready · 100% local (fully offline) or cloud capable

maintainer
skynetcmd
license
Apache-2.0
first seen
2026-06-05
last seen
2026-08-12
releases · 30d
154
short id
risk 57/100 · heuristic grade
C elevated
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 19
  • trust mitigators mixed − 17

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 5m ago · see ecosystem CVEs →

risk trajectory 5 movements
  • C · 58 C · 57
  • D · 66 C · 58
  • D · 64 D · 66
  • C · 56 D · 64
  • A · 0 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 5 findings · grade factor +19
  1. high dangerous code

    committed secret: Anthropic key · dynamic exec: eval()/exec(), __import__(), __import__ sink

  2. medium dangerous code

    env-secret-flows-to-network-py: An environment value (often a secret/token) flows into a network call — possible credential exfiltration. (skynetcmd-m3-memory-a9d2161/bin/news_fetc

  3. medium dangerous code

    env-secret-flows-to-network-py: An environment value (often a secret/token) flows into a network call — possible credential exfiltration. (skynetcmd-m3-memory-a9d2161/bin/test_unif

  4. medium toxic flow (lethal trifecta)

    lethal trifecta reachable across connected servers: this server can exfiltrate (network) while a connected dependency supplies private-data access / untrusted-content ingestion

  5. low exfiltration combo

    sensitive read and network capabilities split across this server's tools

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

analyzed commit a9d2161 · analyzer v31 · 2d ago

skills & prompt files 22

danger signals9

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:skynetcmd/m3-memory/badge.svg)](https://mcpobservatory.com/servers/github:skynetcmd/m3-memory/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 skynetcmd.