github Python re-analysis due

pezhik/skilltotal

github

Scan AI components (MCP servers, agent skills, npm/PyPI packages) for malware & risky capabilities. Local, deterministic, evidence-anchored. Free & OSS.

maintainer
pezhik
licence
Apache-2.0
first seen
2026-06-12
last seen
2026-09-17
releases · 30d
14
short id
risk 34/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 12
  • tool safety inferred + 25
  • 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 1w ago · see ecosystem CVEs →

risk trajectory 8 movements
  • B · 33 B · 34
  • C · 53 B · 33
  • C · 41 C · 53
  • C · 51 C · 41
  • C · 56 C · 51
  • C · 48 C · 56
  • A · 9 C · 48
  • A · 12 A · 9
capability exposure grade factor +12
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 3 findings · grade factor +25
  1. high dangerous code

    committed secret: AWS access key id, OpenAI key, HuggingFace token, private key · dynamic exec: eval()/exec(), marshal.loads(), pickle.loads() · obfuscated payload: base64 decode …

  2. high tool shadowing run_command

    tool "run_command" shadows a verified server's tool

    shadows eos-mcp

  3. low hidden prompt content

    4 file(s) with hidden prompt content: pezhik-skilltotal-8454c6c/tests/eval_corpus/negative/AST01/credential-exfil/markdown-cited-paths/SKILL.md (skill-exfil), pezhik-skilltotal-84…

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

analyzed commit 8454c6c · analyzer v33 · 4d ago

skills & prompt files 15

danger signals21

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