psyclaw@0.29.10
A standalone, evidence-grounded social-science research agent with research contracts, evidence gates, and recoverable workflows
AI Security Review
scanned 2mo ago · by lpm-firewall-aiThe high-signal files contain ordinary CLI, MCP, and test-fixture code, while the manifest lacks automatic install hooks and a self-dependency. The package has potentially powerful user-invoked agent features, but source inspection found no concrete malicious chain.
Decision evidence
public snapshot- The manifest exposes a CLI and has only a publish-time hook, not an install-time hook.
- The MCP transport can run a configured local command, but uses argument arrays, disables the shell, and defaults to an empty environment.
- The chat command starts the bundled runtime after the user runs the CLI.
- The TUI runs agent installation only after an explicit Y confirmation.
- The flagged Python file is a pytest fixture module with YAML helper functions, not a payload loader.
- The runtime preload can configure routing and ensure search tools only when launched with its explicit preload flag.
- No preinstall, install, or postinstall lifecycle script is present.
- No dependency on psyclaw itself is declared.
- No source evidence of credential harvesting or exfiltration was found.
- Agent changes are tied to explicit CLI or TUI actions rather than package installation.
- The MCP integration denies untrusted servers and requires approval for non-read effects.
Source & flagged code
7 flaggedPackage source references dynamic require/import behavior.
dist/src/network-routing.jsView on unpkg · L168Findings
Affected versions and remediation
This report applies to psyclaw@0.29.10.
See all versions of psyclaw for other recorded verdicts.
- Review the evidence and your use of psyclaw@0.29.10 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.