sneakoscope@10.5.6
Sneakoscope Codex (`sks`) is an open-source trust layer for Codex CLI and ChatGPT Desktop. It coordinates bounded AI coding agents, records machine-verifiable evidence, preserves project memory, and blocks release claims that are not supported by current
AI Security Review
scanned 16d ago · by lpm-firewall-aiSource inspection found a guarded, package-owned menu bar installation path reachable from npm postinstall on interactive global macOS installs. Broader project and global bootstrap mutations require explicit opt-in, and no concrete malicious behavior was established.
Decision evidence
public snapshot- The npm postinstall hook invokes the package’s postinstall command.
- That command attempts to install the package-owned menu bar app before checking whether broader bootstrap mutations are allowed.
- Menu bar installation can run during an interactive global npm install on macOS; this is a guarded install-time platform integration.
- The broader bootstrap path requires an explicit environment opt-in.
- The menu bar setup is limited to macOS and is skipped for non-global, CI, or non-interactive installs.
- Project and global bootstrap mutations are disabled unless explicitly opted in.
Source & flagged code
15 flagged · loading sourcePackage defines install-time lifecycle scripts.
package.jsonView on unpkgThis package version adds a dangerous source file absent from the previous stored version; route for source-aware review.
package.jsonView on unpkgInstall-time lifecycle script is not statically allowlisted and needs review.
package.jsonView on unpkgFindings
Affected versions and remediation
This report applies to sneakoscope@10.5.6.
See all versions of sneakoscope for other recorded verdicts.
- Review the evidence and your use of sneakoscope@10.5.6 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.