Subconscious

Autonomous, bounded bias layer that continuously evolves Alfred’s operating behavior by reinforcing, promoting, and governing self-improvement learnings and...

Before installing, consider the following: - Inspect scripts/install.sh line-by-line and do not run it blindly. That script will edit your crontab and create scheduled jobs that run every 5 minutes and hourly (the hourly job uses --enable-promotion by default). - If you want manual control, remove the --enable-promotion flag from the rotate cron entry (or don't install cron entries at all) so promotions only happen when you explicitly run the rotate command. - Backup your current crontab and OpenClaw workspace before running the installer (crontab -l > crontab.before) so you can restore it if needed. - Audit your workspace .learnings/ files for any sensitive information before connecting this skill; the skill will read those files and can convert learnings into injected biases. - Confirm you trust the package source and bundled self-improving-agent; registry metadata lists source as unknown and homepage absent — provenance is weak. Consider obtaining the package from a vetted source or inspecting all included code (the repo contains many Python modules that manage persistence and promotion logic). - If you prefer less autonomy, run the metabolism scripts manually (tick/rotate/review) from the scripts/ directory rather than installing cron jobs. - Verify hooks are not enabled: the package includes optional hooks for the self-improving-agent but they are disabled by default; do not copy them into your OpenClaw hooks directory unless you understand the implications. Given the contradiction between 'do not invoke proactively' in the SKILL.md and the installer's automatic cron + auto-promotion behavior, treat this package with caution and prefer a manual installation path or remove the scheduled auto-promotion before enabling it.

Type: OpenClaw Skill Name: subconscious Version: 1.8.0 The skill implements an autonomous memory and 'self-evolution' layer that uses cron jobs for persistence and background processing (metabolism), as seen in `scripts/install.sh` and `scripts/subconscious_metabolism.py`. It automatically extracts behavioral patterns from conversation history and injects them back into the agent's prompt as 'biases' via `subconscious/evolution.py` and `subconscious/influence.py`. While these features align with the stated purpose of a self-improving agent, the use of persistence and the automated manipulation of the agent's core instructions represent high-risk capabilities and a significant prompt-injection attack surface.