github Shell analyzed · update queued e680351

artificemachine/token-diet

github

Token optimization layer for Claude Code: installs and wires RTK, tilth, Serena, and ICM so your AI agent reads what it needs, not everything.

maintainer
artificemachine
license
MIT
first seen
2026-06-25
last seen
2026-07-22
releases · 30d
25
short id
risk 0/100 · heuristic grade
A minimal
  • trust mitigators mixed − 3

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 3m ago · see ecosystem CVEs →

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 e680351 · analyzer v27 · 1w ago

skills & prompt files 3

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