github TypeScript re-analysis due

objectstack-ai/objectstack

github

A complex business system in 170k tokens. ObjectStack compresses an entire app — data model, UI, workflows, permissions — into typed metadata, an AI agent can hold in context, reason about, and refactor whole.

maintainer
objectstack-ai
license
Apache-2.0
first seen
2026-07-21
last seen
2026-08-14
releases · 30d
629
short id
risk 44/100 · heuristic grade
C elevated
  • capability exposure inferred + 35
  • tool safety inferred + 12
  • trust mitigators mixed − 3

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 7m ago · see ecosystem CVEs →

risk trajectory 2 movements
  • D · 64 C · 44
  • C · 56 D · 64
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 +12
  1. high dangerous code

    committed secret: Slack token · dynamic exec: new Function() · credential logged in 1 file(s) · obfuscated payload: dynamic require()/import()

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

analyzed commit e9cb9ab · analyzer v31 · 23h ago

skills & prompt files 31

danger signals6

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