registry / fnd-stores / 0.0.0-stage
fnd-stores@0.0.0-stage
Temporary package placeholder for staged publishing
AI Security Review
scanned 3d ago · by lpm-firewall-aiThe package snapshot contains only package metadata and a README placeholder, with no declared executable entrypoints or lifecycle hooks. No concrete malicious behavior was identified.
Static reason
No blocking static signals were detected.
Trigger
None found; the package defines no lifecycle scripts or runtime entrypoints.
Impact
No harmful effect was established from the inspected source.
Mechanism
No executable behavior is declared in the manifest.
AI rationale
The package snapshot contains only package metadata and a README placeholder, with no declared executable entrypoints or lifecycle hooks. No concrete malicious behavior was identified.
Decision evidence
public snapshotAI called this Clean at 99.0% confidence as Benign with low false-positive risk.
Evidence for AI clean decision
- package.json contains only package metadata and a stub marker; it defines no lifecycle scripts, entrypoints, or runtime behavior.
Evidence against
Behavioral surface
NoLicense
Source & flagged code
1 flagged · loading sourcepackage.jsonView file
1{
"name": "fnd-stores",
"version": "0.0.0-stage",
"stub": true,
"description": "Temporary package placeholder for staged publishing"
}
Low
Suspicious Lifecycle Evidence
package.json contains only package metadata and a stub marker; it defines no lifecycle scripts, entrypoints, or runtime behavior.
package.jsonView on unpkg · L1Findings
2 Low
LowNo License
LowSuspicious Lifecycle Evidencepackage.json
Affected versions and remediation
This report applies to fnd-stores@0.0.0-stage.
See all versions of fnd-stores for other recorded verdicts.
- Review the evidence and your use of fnd-stores@0.0.0-stage before allowing it. Restrict the permissions described in this report.
- Choose an independently verified alternative or release. This report does not establish that other versions are safe.
Evidence last updated: .
Think this verdict is wrong? Dispute it on GitHub or read how reports are produced.