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Install in OpenClaw
/install my-test-2
Description
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Usage Guidance
This skill appears internally consistent for logging learnings and injecting reminders. Before installing: (1) Review the included scripts (activator.sh, error-detector.sh, extract-skill.sh and the hook handler) to confirm you trust their behavior and that they won't be run in contexts you don't want; (2) note that enabling the hook copies files into ~/.openclaw/hooks and will inject reminder content into each session—only enable if you want persistent cross-session injection; (3) the error detector reads CLAUDE_TOOL_OUTPUT to detect command failures—no credentials are required but the hook runs with the same permissions as your agent, so verify file write locations and permissions; (4) the manual install suggests cloning a GitHub repo—ensure the repo URL is the one you trust; (5) if you want to limit scope, use matcher filters or enable only the activator (not PostToolUse) per the docs. If you want additional assurance, run the scripts in a sandboxed test workspace first and confirm they only create files under the skill/workspace paths described.
Capability Analysis
Type: OpenClaw Skill
Name: my-test-2
Version: 1.0.1
The skill bundle provides a framework for an AI agent to log errors, learnings, and feature requests to local markdown files to facilitate 'self-improvement' and project memory. It includes shell scripts (activator.sh, error-detector.sh) for triggering reminders and a utility (extract-skill.sh) to scaffold new skills from logs, which includes appropriate path sanitization to prevent directory traversal. The OpenClaw hooks (handler.js/ts) correctly implement the platform's bootstrap API to inject non-malicious behavioral reminders, and no evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description (self-improvement logging) align with the provided files: templates, logging formats, hook handlers, and helper scripts for creating skills and detecting errors. Required capabilities (creating .learnings files, injecting reminders via hooks, reading tool output) are appropriate for this purpose.
Instruction Scope
Runtime instructions and included scripts stay within the stated purpose (log learnings, inject reminders, detect command errors). The error-detector reads the CLAUDE_TOOL_OUTPUT environment variable and activator prints reminders; extract-skill.sh writes new skill scaffolds under the current directory. These actions are expected but have cross-session effects if installed in ~/.openclaw (see persistence).
Install Mechanism
No install spec is declared (instruction-only), and provided install steps are local (git clone from GitHub or copying files). No downloads from obscure URLs or archive extraction are present in the manifest. Scripts are included in the package; nothing appears to fetch arbitrary remote code at install time.
Credentials
The skill requests no credentials or environment variables. It does read CLAUDE_TOOL_OUTPUT in a hook script (used to detect command errors) and otherwise uses local filesystem paths under the OpenClaw workspace; this is proportionate to its purpose.
Persistence & Privilege
The skill instructs the user to copy hooks into ~/.openclaw/hooks and create ~/.openclaw/workspace/.learnings — persistent files that will be injected into agent sessions. always:false and no other elevated flags are set, but enabling the hook gives the skill the ability to modify session context across runs. This is expected for a hook-based reminder but is a persistent change you should opt into deliberately.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install my-test-2 - After installation, invoke the skill by name or use
/my-test-2 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Added detailed documentation for the self-improvement skill, outlining when and how to log learnings, errors, and feature requests.
- Provided quick reference tables and example logging formats for consistent error, learning, and feature request entries.
- Included guidelines for promoting significant learnings to project memory files such as CLAUDE.md, AGENTS.md, and more.
- Documented installation steps and workspace integration, particularly for the OpenClaw platform.
- Expanded guidance for use in generic/other agent setups, not just OpenClaw.
Metadata
Frequently Asked Questions
What is my-test-2?
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau... It is an AI Agent Skill for Claude Code / OpenClaw, with 246 downloads so far.
How do I install my-test-2?
Run "/install my-test-2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is my-test-2 free?
Yes, my-test-2 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does my-test-2 support?
my-test-2 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created my-test-2?
It is built and maintained by LuckyJin (@luckyjin); the current version is v1.0.1.
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