github TypeScript re-analysis due

nirholas/extract-llms-docs

github

Extract documentation for AI agents from any site with llms.txt support. Features MCP server, REST API, batch processing, and multiple export formats.

maintainer
nirholas
licence
NOASSERTION
first seen
2026-06-01
last seen
2026-09-15
releases · 30d
0
short id
risk 21/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 24
  • tool safety inferred + 5
  • trust mitigators mixed − 8

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 8 movements
  • A · 9 B · 21
  • B · 21 A · 9
  • B · 29 B · 21
  • C · 49 B · 29
  • C · 41 C · 49
  • B · 26 C · 41
  • C · 36 B · 26
  • C · 47 C · 36
capability exposure grade factor +24
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: new Function()

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

analyzed commit e55dd99 · analyzer v33 · 4d ago

skills & prompt files 4

danger signals1

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