Track and summarize daily income by logging transactions, generating reports, and analyzing revenue by source and skills.

This skill appears local-only and coherent with its stated purpose, but review a few points before installing: - It includes two implementations (main.sh and main.py) that use different log formats: main.sh uses pipe-separated lines, main.py writes JSON lines. Use one implementation consistently or convert logs to a single format to avoid missing transactions in reports. - No network or credential access is requested, so it won't exfiltrate data by itself; still run it in a directory where writing logs is safe and back up any important files first. - package.json exists but there is no install step; you can ignore it or run scripts via the provided shell script. If you need only one implementation, consider removing the other to avoid accidental mixing. - If you plan to integrate this into broader automation, inspect concurrent-write behavior and add locking if necessary. Overall: safe to run locally with normal caution (inspect files and run in an isolated project folder).

Type: OpenClaw Skill Name: ai-revenue-tracker Version: 1.0.0 The `main.sh` script, designated as the primary entry point, exhibits a critical input sanitization vulnerability. When logging revenue via the `log` command, user-provided arguments ($2, $3, $4) are directly concatenated into the `logs/revenue.log` file without any escaping or sanitization. While the script's internal processing of this log file (using `grep`, `awk`, `sed`) does not immediately lead to shell injection, this flaw allows an attacker to inject arbitrary strings, including shell metacharacters, into a persistent log file. This creates a high-risk condition where subsequent processing of this log file or generated reports by other components (e.g., the AI agent itself, or other skills) could be vulnerable to command injection or other forms of exploitation.