MCP Observatory
28s ago Tracked 47,911 Last 28s ago 24h 2,658
github MDX analyzed · update queued 0123047 (1 behind) unconfirmed MCP

Prompthon-IO/agent-systems-handbook

github

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

maintainer
Prompthon-IO
license
NOASSERTION
first seen
2026-06-01
last seen
2026-08-12
releases · 30d
3
short id
risk 0/100 · heuristic grade
A minimal inferred analyzer v32 (1 behind)

This grade was produced by analyzer v32 , 1 version behind the one running now. Detectors added since have not been applied here, so it is not directly comparable with a server analyzed at the current version. A re-scan is queued.

  • trust mitigators mixed − 3

These factors total -3, 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.

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 6m ago · see ecosystem CVEs →

risk trajectory 2 movements
  • B · 32 → A · 0
  • A · 0 → B · 32
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 0123047 · analyzer v32 · 1w ago

skills & prompt files 14

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:Prompthon-IO/agent-systems-handbook/badge.svg)](https://mcpobservatory.com/servers/github:Prompthon-IO/agent-systems-handbook/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 Prompthon-IO.