Cursor Rules are .cursorrules / .cursor/rules files that steer Cursor's AI; scanned with the same pipeline.
We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.
2 critical findings reported by cisco-skill-scanner. The composite score alone does not reflect this — read the per-scanner reports below.
Cursor Rules are .cursorrules / .cursor/rules files that steer Cursor's AI. Review the scanned source before copying them into your own project.
nerlo install -- williambittner1/gaussian_node
4 of 11 scanners examined this package. The rest do not apply to it — language, ecosystem and packaging decide which analyzers can say anything, and a scanner that cannot examine an artifact reports nothing rather than passing it.
v2.0.11
9 findings · 7.5s
v0.3.74
0 findings · 4.4s
v0.1.0
0 findings · 3.8s
v0.1.0
0 findings · 3.8s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.2s
vv0.3.2
No Go packages were found in this artifact. What each scanner covers
0 findings · 0.1s
v0.1.0
This scanner found nothing in this artifact that it assesses. What each scanner covers
0 findings · 0.9s
No report in this scan: govulncheck, osv-scanner, trivy, trivy_image.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 20, 2026 | Scan Halted | — | agentshield ·n/a: not applicablecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicablenerlo-multi-source ·n/a: not applicable | rejected |
Findings in files this artifact installs stand as reported; a model re-read the rest and said which ones it believes are false positives. This is a second opinion published beside the evidence, not a correction to it: the per-scanner reports above are unchanged, every dismissed finding is still listed there at its original severity, and the score and the Flagged badge are computed from those raw severities alone. Nothing below moved them.
Out of 9 findings across every scanner that examined this package. None of the 2 findings rated critical by their scanner were dismissed.
Not reviewed is not the same as clean. Those 2 findings stand exactly as their scanners reported them, at full severity, as they would have without this review.
The model could have called any of these a false positive and did not.
3 PYCACHE_FILES_DETECTED
Files: /repo/scene/__pycache__, /repo/gaussian_renderer_gsplat/__pycache__, /repo/utils/__pycache__ · reported by cisco-skill-scanner
2 BYTECODE_NO_SOURCE
Files: /repo/scene/__pycache__/gaussian_model_1.cpython-38.pyc, /repo/scene/__pycache__/gaussian_model_new.cpython-38.pyc · reported by cisco-skill-scanner
1 COMMAND_INJECTION_EVAL
Files: /repo/scene/gaussian_model.py · reported by cisco-skill-scanner
1 PATH_TRAVERSAL_OPEN
Files: /repo/scene/deprecated_dataset_readers.py · reported by cisco-skill-scanner
2 The model called these false positives and our own check did not agree, so the dismissal was refused.
Rules: SOCIAL_ENG_VAGUE_DESCRIPTION, MANIFEST_MISSING_LICENSE · Files: /repo/SKILL.md · reported by cisco-skill-scanner
Critical command injection and path traversal risks.
The artifact exhibits critical security findings, including potential command injection in `gaussian_model.py` and path traversal in `deprecated_dataset_readers.py`, which could enable arbitrary shell execution or file system access. Additional critical findings from the 'bearer' scanner are present in `1_preprocess.py` and `__init__original.py`. High severity findings, such as bytecode without source, also warrant attention.
Concern level assessed by the review: Critical. This is the review's scale, not the registry badge.
Showing 2 of 2; the rest are in the per-scanner reports above.
Reviewed by gemini-2.5-flash. The model sees the findings, not your code, and cannot change a score.