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Self Improving Agent

by shenghoo123-png · GitHub ↗ · v0.2.0 · MIT-0
cross-platform ⚠ suspicious
90
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0
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0
Active Installs
1
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Install in OpenClaw
/install selfgrowth-kay
Description
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolv...
Usage Guidance
This skill is not obviously malicious, but it is inconsistent and potentially powerful: it claims to learn from every skill and to update other skills, yet the platform doesn't provide the global hooks it expects and it doesn't declare the credentials necessary to push changes. Before installing, ask the author how it will be triggered on your platform, what repository credentials (if any) it needs, and what explicit safeguards exist (e.g., ask-before-PR, sandboxed test runs, review-only mode). If you proceed, run it in an isolated workspace, do not grant global repo write tokens without manual review, and require that any PRs be human-reviewed before merging.
Capability Analysis
Type: OpenClaw Skill Name: selfgrowth-kay Version: 0.2.0 The skill bundle implements a 'self-improving' architecture that instructs the AI agent to autonomously modify its own skill files and instructions based on interaction history. While the provided bash scripts (hooks/pre-tool.sh, hooks/post-bash.sh) are limited to logging, the core logic in SKILL.md and README.md encourages the agent to use 'Write' and 'Edit' tools to rewrite its own codebase and memory. This self-modification capability creates a significant attack surface where the agent's primary instructions could be subverted through interaction, though no explicit evidence of intentional malice or data exfiltration was found in the current files.
Capability Assessment
Purpose & Capability
The skill's stated purpose is to observe every skill run and update skills automatically. However, OpenClaw does not support the Claude-style global hooks the skill expects (the included OPENCLAW_HOOKS.md even notes this). The skill includes local hook scripts and memory files, which is coherent for a local experiment, but the claim of automatic, platform-wide learning/updating is not supported by the declared requirements or platform capabilities. A mechanism to modify other skills (create PRs / auto updates) would normally require repository/git credentials and explicit platform hooks, which are not declared.
Instruction Scope
SKILL.md and README instruct the agent to extract experiences from 'Any Skill Completes', update skills, and create PRs. The allowed-tools list (Read, Write, Edit, Bash, Grep, Glob, WebSearch) gives the agent broad access to read and modify files and query the web. The three hook scripts present only log inputs/outputs to stderr (no external exfiltration), but the instructions expect capture and modification of other skills' artifacts—operations that could read sensitive workspace files or alter multiple skill codebases if invoked with write privileges. The skill's automatic behaviors are vague (e.g., what gets updated automatically vs. ask_first), granting the agent broad discretion.
Install Mechanism
No external install/download is specified (instruction-only plus bundled files). That keeps installation risk low because nothing is fetched from remote URLs. The included hooks and memory files are local and simple; hook scripts only echo inputs/outputs to stderr and are not obfuscated or downloading code.
Credentials
The skill declares no required environment variables or primary credential, but its stated behaviors (creating PRs, updating other skills) would normally require git/CI credentials and write access to repositories. Those credentials are not declared nor are the boundaries of file access limited. This mismatch is noteworthy: either it will prompt for credentials at runtime, or it expects the agent to already have repository write rights via the agent environment—both situations should be clarified.
Persistence & Privilege
always:false (no forced inclusion) and model invocation is allowed (normal). The skill intends to persist patterns in memory files (bundled under memory/) and to propose code changes (create-pr hook ask_first). While that behavior can be legitimate, granting Write/Edit permission plus web access could let the skill modify multiple skills or push changes if credentials are available. The skill does not request permanent platform privileges, but its design expects cross-skill visibility which increases blast radius if misused.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install selfgrowth-kay
  3. After installation, invoke the skill by name or use /selfgrowth-kay
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.2.0
Self-improving universal agent for skill evolution: - Introduced multi-memory architecture (semantic, episodic, and working memory) to track and learn from all skill executions. - Implemented hooks-based automation for experience logging, pattern extraction, and self-correction. - Added structured experience extraction, feedback integration, and reusable pattern abstraction for continuous self-improvement. - Auto-triggers on skill completion and errors to update knowledge and evolve skill guidance. - Prioritizes improvements using an evolution priority matrix to keep skills up-to-date with new insights.
Metadata
Slug selfgrowth-kay
Version 0.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Self Improving Agent?

A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolv... It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.

How do I install Self Improving Agent?

Run "/install selfgrowth-kay" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Self Improving Agent free?

Yes, Self Improving Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Self Improving Agent support?

Self Improving Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Self Improving Agent?

It is built and maintained by shenghoo123-png (@shenghoo123-png); the current version is v0.2.0.

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