github Python analyzed 06c87be deep scan · partial (359/2,724 files)

mayowa-kalejaiye/Failures

v0.3.1
github

Failures — deterministic MCP for AI-built software. 13 tools that make coding agents handle failure modes (idempotency, atomicity, timeouts, retries) via AST checks, not prompts.

maintainer
mayowa-kalejaiye
licence
MIT
first seen
2026-09-09
last seen
2026-09-17
releases · 30d
2
short id
risk 64/100 · heuristic grade
D high inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • 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.

grade last moved 16h ago · see ecosystem CVEs →

risk trajectory 3 movements
  • C · 56 D · 64
  • C · 59 C · 56
  • A · 0 C · 59
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

    dynamic exec: eval()/exec(), pickle.loads(), __import__()

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

analyzed commit 06c87be · analyzer v33 · 2h ago

danger signals55

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:mayowa-kalejaiye/Failures/badge.svg)](https://mcpobservatory.com/servers/github:mayowa-kalejaiye/Failures/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 mayowa-kalejaiye.