Self-Improvement System
v1.2.0Runs a continuous self-improvement loop that helps the agent learn from mistakes, extract lessons, and refine its behaviour over time. Use when the user says...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name and description match the runtime instructions: the skill maintains per-agent files (mistakes.md, lessons.md, soul.md, playbook.md, session-log.md, archive/*) and runs audits and pattern detection. It does not request unrelated binaries, credentials, or network access.
Instruction Scope
All instructions stay within the stated purpose (logging, lesson extraction, audits, playbooks). They require reading and writing files in the agent workspace and instruct the agent to create missing files. The privacy rules are explicit (no user data, no verbatim quotes). The main caveat is behavioral: the skill gives the agent judgment calls (paraphrase vs omit) which, if misapplied by the agent, could lead to unsafe logs — this is a usability/safety risk but not an incoherence.
Install Mechanism
Instruction-only skill with no install spec or code files. This is the lowest-risk install pattern and matches the described functionality.
Credentials
The skill requests no environment variables, credentials, or special config paths. It relies only on reading/writing local files described in the SKILL.md, which is proportionate for a local self-improvement system.
Persistence & Privilege
The skill persists state across sessions by creating and updating files (mistakes.md, lessons.md, soul.md, playbook.md, session-log.md, archive). always is false (not force-included), but it is intended to trigger at session start and periodically. Persistent storage and autonomous invocation are coherent with its purpose; users should be aware these files are retained between runs and could contain agent-generated summaries of past interactions.
Assessment
This skill appears coherent and does what it says: it will read and write persistent files in the agent workspace to log mistakes, extract lessons, and run audits. Before installing, consider: (1) Review any existing mistakes.md / lessons.md / soul.md files so they don’t already contain sensitive user data. (2) Ensure your agent environment enforces the platform's privacy boundaries — the skill relies on the agent obeying its own rules about not logging PII or user-provided content. (3) Be aware the skill will persist state across sessions (archiving and rotation rules are built in). If you need stricter guarantees, periodically inspect or back up the created files and consider limiting the agent's filesystem or network access to reduce accidental data exposure.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.