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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.
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 -- jxjpu9bd/digital_ranch_app
5 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
7 findings · 9.5s
v0.3.74
2 findings · 1.9s
v0.1.0
0 findings · 3.1s
v0.71.0
0 findings · 0.3s
v2.3.8
0 findings · 0.2s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.2s
v0.1.0
No source files this scanner can analyze were found in this artifact. What each scanner covers
0 findings · 3.1s
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 · 1.2s
v0.71.0
No container image was published for this artifact. What each scanner covers
0 findings · 0.0s
vv1.6.0
No Go modules were found in this artifact. What each scanner covers
0 findings · 0.1s
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 21, 2026 | Caution95 | — | agentshield ·n/a: not applicablecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral ·n/a: not applicablenerlo-install-instruction: completecapslock ·n/a: not applicablenerlo-multi-source ·n/a: not applicabletrivy: completeosv-scanner: completetrivy_image ·n/a: not applicablegovulncheck ·n/a: not applicable | completed |
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 Caution badge are computed from those raw severities alone. Nothing below moved them.
Out of 9 findings across every scanner that examined this package.
These findings are in files this artifact installs and are not placeholder values. No false-positive basis can be corroborated for such a finding, so this review never dismisses one; they were not sent to the model and stand at their scanner's severity.
2 MANIFEST_MISSING_LICENSE
Files: /repo/SKILL.md, /repo/ios/Runner/Assets.xcassets/LaunchImage.imageset/SKILL.md · reported by cisco-skill-scanner
2 SOCIAL_ENG_VAGUE_DESCRIPTION
Files: /repo/SKILL.md, /repo/ios/Runner/Assets.xcassets/LaunchImage.imageset/SKILL.md · reported by cisco-skill-scanner
1 AAK-AGENT-TRUST-004
Files: GEMINI.md · reported by agent-audit-kit
1 AAK-SECRET-004
Files: res/response/login.json · reported by agent-audit-kit
1 EXCESSIVE_FILE_COUNT
Files: /repo/. · reported by cisco-skill-scanner
1 HIDDEN_DATA_FILE
Files: /repo/.metadata · reported by cisco-skill-scanner
1 MANIFEST_INVALID_NAME
Files: /repo/ios/Runner/Assets.xcassets/LaunchImage.imageset/SKILL.md · reported by cisco-skill-scanner
Artifact contains a secret in a response file.
A high-severity finding indicates a secret is present within the `res/response/login.json` file, which could lead to credential access. A medium-severity finding suggests a potential issue with agent trust. Additionally, low-severity findings point to a hidden data file and a vague description, which warrant attention.
Concern level assessed by the review: High. This is the review's scale, not the registry badge.
Reviewed by gemini-2.5-flash. The model sees the findings, not your code, and cannot change a score.