architect-agent

No clear evidence of overt malware (e.g., reverse shells, network exfiltration, or destructive actions) appears in the provided excerpt. The main security concerns are (1) eval-based dynamic command execution, which can enable command-injection depending on quoting/derivation, and (2) extensive local logging of command outputs/arguments, which commonly leads to accidental capture of secrets. Because the full implementation files are not included in the excerpt, confirmation requires reviewing the referenced wrapper/logger scripts to verify safe quoting/redaction and to ensure no off-host transmission or additional unintended data collection occurs.

No direct malware content is visible in the provided fragment (it is configuration/instructions), and there are no explicit exfiltration or credential-harvesting behaviors shown. However, the configuration establishes a powerful execution path: after every tool call (matcher "*"), it runs a local hook-logger.py that consumes tool inputs and writes them to session logs. Because hook-logger.py is not included and no integrity safeguards are shown, the main risk is that tampering or unintended behavior in the hook script could lead to sensitive data logging and potential exfiltration. Treat hook-logger.py as a high-trust component, verify its contents/integrity, and consider redaction/minimization of logged tool inputs.

No direct evidence of malware in this code fragment (no network access, code execution, or system modification beyond local log writes). However, the module has meaningful security risk: it persists detailed unredacted tool/event content (including arguments, results/errors, and permission-related data) and it determines the log destination path from an external pointer file without validation, enabling possible log redirection or file clobbering if an attacker can influence that pointer. Treat as a high-sensitivity logging component and review pointer file integrity and log access controls.

This configuration repeatedly executes an unverified local Python script from a hidden project directory on broad, sensitive interaction lifecycle events (including user prompts and permission requests). The fragment alone provides no direct evidence of malicious payloads, network exfiltration, or credential theft, but it creates a high-impact opportunity for privacy/data-leak or unauthorized telemetry depending on the hook-logger.py contents and integrity. The referenced script should be reviewed, provenance-verified, and protected against tampering before trust.