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keyserkazi1

Self improving

by Keyserkazi1 · GitHub ↗ · v1.0.0 · MIT-0
linuxdarwinwin32 ✓ Security Clean
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Install in OpenClaw
/install self-improving-100
Description
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Usage Guidance
This skill is internally consistent and does what it says: it will create ~/self-improving/, log corrections/preferences, and update workspace steering files to make the agent behave more proactive. Before installing: (1) review and back up your workspace (AGENTS.md, SOUL.md, HEARTBEAT.md) because the skill suggests non‑destructive edits there; (2) understand that the agent will persistently read/write files in your home directory and load memory.md on sessions — avoid putting secrets or sensitive personal data into these files; (3) the only network action is the optional 'clawhub install proactivity' which will run only if you explicitly agree — decline it if you don't want additional network installs; (4) test in a disposable workspace or VM if you want to verify behavior first; and (5) if you ever ask the agent to 'forget everything', verify the exported backup before accepting deletion. Overall the footprint is proportionate to the stated purpose, but treat the created local memory as data you own and audit.
Capability Analysis
Type: OpenClaw Skill Name: self-improving-100 Version: 1.0.0 The 'Self-Improving + Proactive Agent' skill bundle is designed to create a persistent, tiered memory system (HOT/WARM/COLD) for an AI agent to learn from user corrections and self-reflection. It includes a robust security framework in 'boundaries.md' that explicitly forbids the storage of sensitive information such as credentials, PII, or financial data. While the 'setup.md' file instructs the agent to modify its core steering files (SOUL.md, AGENTS.md, HEARTBEAT.md) to ensure persistence of the learning logic, these actions are transparently documented and aligned with the stated purpose of the skill. The bundle demonstrates good security practices by requiring user consent before installing external dependencies (the 'proactivity' skill) and lacks any indicators of data exfiltration or unauthorized execution.
Capability Assessment
Purpose & Capability
The name/description (self-reflection, memory, learning) align with the instructions and manifest: it creates a local memory directory (~/self-improving/), logs corrections, and updates local workspace steering files (AGENTS.md, SOUL.md, HEARTBEAT.md). No unrelated credentials, binaries, or external services are required.
Instruction Scope
SKILL.md instructs the agent to read/write files under ~/self-improving/ and to add snippets to workspace files (AGENTS.md, SOUL.md, HEARTBEAT.md). That is coherent with the purpose but is an important scope decision: the skill will persistently read/write local files and edit workspace config files (non- destructive edits are emphasized). Users should expect these changes and review them.
Install Mechanism
This is instruction-only (no install spec, no code to download). The only install-like action is an optional, explicit user-consent step to run 'clawhub install proactivity' during setup; that would perform a network install only if the user agrees. There are no hidden downloads or extract steps in the skill itself.
Credentials
No environment variables, credentials, or external tokens are requested. The skill stores user preferences and corrections locally; boundaries.md explicitly forbids storing secrets/credentials. The requested access (file read/write in the user's home and workspace files) is proportional to the feature, but it means local persistent storage of user data.
Persistence & Privilege
The skill creates and uses persistent local state (~/self-improving/) and loads memory.md on every session. It is not force-enabled (always: false). Persistent local storage is expected for a memory skill, but users should be aware that learned items live on disk and will be read automatically by the agent.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install self-improving-100
  3. After installation, invoke the skill by name or use /self-improving-100
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the self-improving skill. - Introduces tiered memory storage with HOT, WARM, and COLD layers. - Supports logging corrections, preferences, and self-reflection lessons. - Provides quick queries for inspecting and managing memory. - Fully local storage; no credentials or external access required.
Metadata
Slug self-improving-100
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Self improving?

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when... It is an AI Agent Skill for Claude Code / OpenClaw, with 174 downloads so far.

How do I install Self improving?

Run "/install self-improving-100" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Self improving free?

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

Which platforms does Self improving support?

Self improving is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created Self improving?

It is built and maintained by Keyserkazi1 (@keyserkazi1); the current version is v1.0.0.

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