pypi Python analyzed 1.7.1

willow-ratatosk

v1.7.1
pypi

Willow platform session runtime — MCP client, capability gate, JSONL sessions, Grove bus, tier-0 sync

maintainer
Sean Campbell
licence
MIT
first seen
2026-09-07
last seen
2026-09-12
releases · 30d
22
short id
risk 31/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • tool safety inferred + 5
  • trust mitigators mixed − 9

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 5d ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 26 B · 31
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +5
  1. medium dangerous code

    dynamic exec: __import__ sink

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

analyzed v1.7.1 · analyzer v33 · 1h ago

danger signals1

  • dynamic code execution __import__ sink willow_ratatosk-1.7.1/tests/test_key_custody.py :23 assert "ANTHROPIC_API_KEY" not in __import__("os").environ
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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/pypi:willow-ratatosk/badge.svg)](https://mcpobservatory.com/servers/pypi:willow-ratatosk/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 Sean Campbell.