github analyzed 2162e8e

varun29ankuS/mif-spec

github

Convert, validate, and inspect AI agent memories across formats

maintainer
varun29ankuS
license
first seen
2026-08-14
last seen
2026-08-14
releases · 30d
0
short id
risk 0/100 · heuristic grade
A minimal
  • capability exposure inferred + 4
  • trust mitigators mixed − 8

These factors total -4, not 0: the score is bounded to 0–100 after they are summed, so this one is floored at 0. The factors are left as they were applied rather than rewritten to make the column add up.

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 8m ago · see ecosystem CVEs →

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.

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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:varun29ankuS/mif-spec/badge.svg)](https://mcpobservatory.com/servers/github:varun29ankuS/mif-spec/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 varun29ankuS.