github PHP analyzed 4631f62 deep scan unknown

datashaman/fable

Laravel MCP server for AI agents to build and query serialized narrative worlds — milieus, continuities, entities, events, and more.

maintainer: datashaman
licence: MIT
first seen: 2026-07-30
last seen: 2026-07-30
releases · 30d: 0
short id

risk 0/100 · heuristic grade

A minimal inferred analyzer v33 (current)

No risk signals detected.

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 →

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 4631f62 · analyzer v33 · 4w ago

skills & prompt files 42

embed badge readme-ready

[![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:datashaman/fable/badge.svg)](https://mcpobservatory.com/servers/github:datashaman/fable/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 datashaman.

datashaman/fable

skills & prompt files 42

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