Universal scientific data I/O with a plugin format registry
- capability exposure inferred + 22
- 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.
graded 4m ago · see ecosystem CVEs →
- C · 43 → C · 51
No known CVEs for this server.
- high dangerous code
dynamic exec: eval()/exec(), pickle.loads(), unsafe yaml.load()
analyzed commit 999f13a · analyzer v28 · 3d ago
skills & prompt files 1
danger signals5
- dynamic code execution eval()/exec() scitex-ai-scitex-io-999f13a/src/scitex_io/_glob.py :67
found_paths = _natsorted(_glob(eval(glob_pattern), recursive=recursive)) - dynamic code execution pickle.loads() scitex-ai-scitex-io-999f13a/src/scitex_io/_load_modules/_H5Explorer.py :137
return pickle.loads(data.tobytes()) - dynamic code execution pickle.loads() scitex-ai-scitex-io-999f13a/src/scitex_io/_load_modules/_hdf5.py :65
return pickle.loads(data.tobytes()) - dynamic code execution pickle.loads() scitex-ai-scitex-io-999f13a/src/scitex_io/_load_modules/_zarr.py :110
return pickle.loads(pickled_bytes.tobytes()) - dynamic code execution unsafe yaml.load() scitex-ai-scitex-io-999f13a/tests/scitex_io/_save_modules/test__yaml.py :136
loaded = yaml.load(f)
- recent drift +20 capability drift →
[](https://mcpobservatory.com/servers/github:scitex-ai/scitex-io/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 scitex-ai.