MCP Observatory
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naimkatiman/continuous-improvement

github

Claude Code that gets sharper every session: runtime discipline and instinct memory (the 7 Laws of AI Agent Discipline)

maintainer
naimkatiman
licence
MIT
first seen
2026-06-06
last seen
2026-09-06
releases · 30d
2
short id
risk 19/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 22
  • 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 3d ago · see ecosystem CVEs →

risk trajectory 6 movements
  • B · 31 → B · 19
  • C · 39 → B · 31
  • C · 51 → C · 39
  • D · 63 → C · 51
  • C · 55 → D · 63
  • A · 0 → C · 55
capability exposure grade factor +22
Inferred surface — each links to servers holding it:
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 942746f · analyzer v33 · 1w ago

skills & prompt files 116

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