LaTeX manuscript compilation for scientific documents, with MCP server
- capability exposure inferred + 35
- recent drift inferred + 20
- tool safety inferred + 5
- trust mitigators mixed − 8
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 5m ago · see ecosystem CVEs →
- C · 44 → C · 52
No known CVEs for this server.
- medium dangerous code
dynamic exec: eval()/exec(), __import__ sink
analyzed commit 4df807a · analyzer v28 · 3d ago
skills & prompt files 1
danger signals2
- dynamic code execution eval()/exec() scitex-ai-scitex-writer-4df807a/src/scitex_writer/_utils/_verify_tree_structure.py :60
eval(validator_func_name)(project_dir) - dynamic code execution __import__ sink scitex-ai-scitex-writer-4df807a/tests/scripts/python/test_render_clew_toggles.py :163
env={"PATH": __import__("os").environ["PATH"]},
- recent drift +20 capability drift →
[](https://mcpobservatory.com/servers/github:scitex-ai/scitex-writer/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.