github Python re-analysis due

phillipclapham/anneal-memory

github

Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.

maintainer
phillipclapham
licence
MIT
first seen
2026-06-04
last seen
2026-09-17
releases · 30d
1
short id
risk 9/100 · heuristic grade
A minimal inferred analyzer v33 (current)
  • capability exposure inferred + 8
  • tool safety inferred + 12
  • 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 1w ago · see ecosystem CVEs →

risk trajectory 4 movements
  • B · 17 A · 9
  • B · 29 B · 17
  • A · 5 B · 29
  • A · 0 A · 5
capability exposure grade factor +8
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

    dynamic exec: pickle.loads()

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

analyzed commit a498101 · analyzer v33 · 4d ago

skills & prompt files 2

danger signals1

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